CN121237364A - A method for displaying and processing medical data - Google Patents

A method for displaying and processing medical data

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Publication number
CN121237364A
CN121237364A CN202510903689.7A CN202510903689A CN121237364A CN 121237364 A CN121237364 A CN 121237364A CN 202510903689 A CN202510903689 A CN 202510903689A CN 121237364 A CN121237364 A CN 121237364A
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CN
China
Prior art keywords
medical data
patient
information
physiological
medical
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CN202510903689.7A
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Chinese (zh)
Inventor
肖科
金星亮
何先梁
余泽丹
刘三超
曾永军
徐利
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Shenzhen Mindray Bio Medical Electronics Co Ltd
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Shenzhen Mindray Bio Medical Electronics Co Ltd
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Publication of CN121237364A publication Critical patent/CN121237364A/en
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

本发明提供的医疗数据的显示方法和处理系统，从医疗数据来源设备获取病人的医疗数据；进而基于病人的医疗数据得到病人的生理结构的评估信息。评估信息包括特定角度的结论以及用于从临床维度支持所述特定角度的结论的医疗数据信息，医疗数据信息基于病人的医疗数据得到。其中，评估信息至少包括第一评估信息，在第一评估信息中，特定角度的结论为诊疗措施建议，且医疗数据信息为用于从临床维度支持诊疗措施建议的医疗数据信息；在显示界面显示生理结构的评估信息。这样，医护人员看到第一评估信息中的诊疗措施建议，再看一下相应的医疗数据信息确定诊疗措施建议无误，即可放心地执行诊疗措施，无需根据繁杂的生理参数做诊疗判断，提高了工作效率。

The present invention provides a method and system for displaying and processing medical data, which acquires patient medical data from a medical data source device; and then obtains assessment information of the patient's physiological structure based on the patient's medical data. The assessment information includes conclusions from a specific perspective and medical data information used to support these conclusions from a clinical perspective, the medical data information being derived from the patient's medical data. Specifically, the assessment information includes at least first assessment information, in which the conclusions from the specific perspective are recommendations for treatment measures, and the medical data information is used to support these recommendations from a clinical perspective; the assessment information of the physiological structure is displayed on the display interface. In this way, medical personnel can see the recommendations for treatment measures in the first assessment information, and then check the corresponding medical data information to confirm that the recommendations are correct, allowing them to confidently implement the treatment measures without needing to make diagnostic judgments based on complex physiological parameters, thus improving work efficiency.

Description

Medical data display method and processing system
Technical Field
The invention relates to the field of medical equipment, in particular to a medical data display method and a medical data processing system.
Background
In medical institutions, vital sign monitoring and disease treatment are performed on patients through monitoring devices and treatment devices, but systematic and comprehensive monitoring of patients is not possible for the following reasons.
At present, patient monitoring is carried out in a single machine and single parameter mode, information cannot be effectively fused to form an information island, and system monitoring cannot be carried out on patients:
1) And each parameter in the single machine is mutually independent, each parameter is independently analyzed based on the parameter waveform, and each parameter analysis result is obtained, so that single parameter change is reflected.
2) The monitoring devices are mutually independent, and all the processes including physiological signal acquisition, transmission, analysis, result storage and the like are basically completed by all the devices, so that information cannot be shared.
3) In a conventional monitoring mode, a display interface displays a large number of physiological parameters, waveforms and the like, so that medical staff is required to look up a large number of physiological parameter data of a patient, time and labor are wasted, the patient condition can not be intuitively and rapidly mastered, and further follow-up treatment can not be rapidly predicted.
Currently, some products can monitor the state of a patient, and provide physiological parameters which are mainly focused by medical staff, so that the medical staff can quickly know the current state of the patient. The method is not comprehensive enough, and medical staff needs to pre-judge the subsequent processing mode according to the information such as state monitoring and physiological parameters, and because the state monitoring generally only has a conclusion, the main physiological parameter data are less and are not necessarily related to the state conclusion, the medical staff can feel that the subsequent diagnosis and treatment scheme is not strict enough according to the state monitoring conclusion and a small number of main physiological parameters, or hesitation exists, the working efficiency of the medical staff is difficult to improve, and therefore, the existing processing mode of the medical data of patients still needs to be improved and improved.
Disclosure of Invention
The invention mainly provides a medical data display method and a medical data processing system, and aims to improve the working efficiency of medical staff.
The medical data display method provided by an embodiment comprises the following steps:
Acquiring medical data of a patient from a medical data source device, wherein the medical data source device comprises at least one of a monitoring device, a treatment device, an imaging device and an in-vitro diagnostic device, the medical data of the patient comprises the monitoring data from the monitoring device when the medical data source device comprises the monitoring device, the medical data of the patient comprises the treatment data from the treatment device when the medical data source device comprises the treatment device, the medical data of the patient comprises the imaging data from the imaging device when the medical data source device comprises the imaging device, and the medical data of the patient comprises the detection data from the in-vitro diagnostic device when the medical data source device comprises the in-vitro diagnostic device;
Obtaining evaluation information of a physiological structure of the patient based on medical data of the patient, the physiological structure including at least one of a physiological system of the patient, a feature of the physiological system, an organ, and a feature of the organ, the evaluation information including a conclusion of a specific angle and medical data information for supporting the conclusion of the specific angle from a clinical dimension, the medical data information being obtained based on medical data of the patient, wherein the evaluation information includes at least first evaluation information in which the conclusion of the specific angle is a medical measure suggestion and the medical data information is medical data information for supporting the medical measure suggestion from the clinical dimension, and
And displaying the evaluation information of the physiological structure on a display interface.
The medical data display method provided by an embodiment comprises the following steps:
Acquiring medical data of a patient from a medical data source device, wherein the medical data source device comprises at least two of a monitoring device, a treatment device, an imaging device and an in-vitro diagnostic device, the medical data of the patient comprises the monitoring data from the monitoring device when the medical data source device comprises the monitoring device, the medical data of the patient comprises the treatment data from the treatment device when the medical data source device comprises the treatment device, the medical data of the patient comprises the imaging data from the imaging device when the medical data source device comprises the imaging device, and the medical data of the patient comprises the detection data from the in-vitro diagnostic device when the medical data source device comprises the in-vitro diagnostic device;
Obtaining at least one of first, second, third and fourth assessment information of a physiological structure of the patient based on the medical data of the patient, the physiological structure including a physiological system, an organ of the patient, a feature of the physiological system, or a feature of the organ, wherein the first assessment information includes a medical measure recommendation and first medical data information for supporting the medical measure recommendation from a clinical dimension, the second assessment information includes a stability conclusion for reflecting a stability condition of the physiological structure and second medical data information for supporting the stability conclusion from the clinical dimension, the third assessment information includes a diagnosis conclusion and third medical data information for supporting the diagnosis conclusion from the clinical dimension, the fourth assessment information includes a risk pre-warning conclusion and fourth medical data information for supporting the risk pre-warning conclusion from the clinical dimension;
and displaying at least one of the obtained first evaluation information, second evaluation information, third evaluation information and fourth evaluation information of the physiological structure of the patient on a display interface.
A processing system for medical data provided by an embodiment includes:
A display;
One or more communication interfaces for communicating with one or more medical data source devices;
a memory for storing a program;
and a processor for executing the program to implement the method as described above.
An embodiment provides a computer readable storage medium having stored thereon a program executable by a processor to implement a method as described above.
According to the medical data display method and the medical data processing system, the medical data of the patient are acquired first, and then the evaluation information of the physiological structure of the patient is obtained based on the medical data of the patient. The evaluation information includes medical data information for supporting the conclusion of the particular angle from the clinical dimension, the medical data information being derived based on the medical data of the patient. The evaluation information at least comprises first evaluation information, wherein in the first evaluation information, a conclusion of a specific angle is a diagnosis and treatment measure suggestion, and the medical data information is medical data information for supporting the diagnosis and treatment measure suggestion from clinical dimension, and the evaluation information of the physiological structure is displayed on a display interface. Therefore, medical staff can reliably execute the diagnosis and treatment measures without mistakes by seeing the diagnosis and treatment measure suggestions in the first evaluation information and then seeing the corresponding medical data information to determine the diagnosis and treatment measure suggestions, diagnosis and treatment judgment is not needed according to complicated physiological parameters, and the working efficiency is improved.
Drawings
FIG. 1 is a block diagram illustrating an embodiment of a system for displaying medical data according to the present invention;
FIG. 2 is a flow chart of a method for displaying medical data according to an embodiment of the present invention;
FIG. 3 is a flow chart of another embodiment of a method for displaying medical data according to the present invention;
FIG. 4 is a content architecture of summary information of physiological structures provided by the present invention;
FIG. 5 is a schematic diagram of a pyramid of a human physiological structure;
FIG. 6 is a schematic diagram of a nervous system display area in a review interface;
FIG. 7 is a schematic diagram of a display area of the circulation system in a review interface;
FIG. 8 is a schematic view of a respiratory display area in a review interface;
FIG. 9 is a schematic view of a liver and kidney function display area in a review interface;
FIG. 10 is a schematic view of the gastrointestinal tract and nutrient display area in a review interface;
FIG. 11 is a schematic view of a display area of coagulation out of a review interface;
FIG. 12 is a schematic view of infection and immunity display areas in a review interface;
FIG. 13 is a schematic view of a review interface;
FIG. 14 is a flowchart of another embodiment of a method for displaying medical data according to the present invention;
FIG. 15 is a schematic diagram of an embodiment of a monitoring interface;
Fig. 16 is a schematic diagram of another embodiment of a monitoring interface.
Detailed Description
The application will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, related operations of the present application have not been shown or described in the specification in order to avoid obscuring the core portions of the present application, and may be unnecessary to persons skilled in the art from a detailed description of the related operations, which may be presented in the description and general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning. The term "coupled" as used herein includes both direct and indirect coupling (coupling), unless otherwise indicated.
The invention can process numerous and complex medical data of patients to obtain the evaluation information of a physiological structure at a certain angle and the medical data information which can support or prove the correctness of the evaluation information, so that the medical care can trust the evaluation information, and the medical care can conveniently and rapidly know the condition of the patients and take diagnosis and treatment measures. The following is a detailed description of some embodiments.
As shown in FIG. 1, the medical data processing system provided by the present invention includes a display 60, one or more communication modules 70, a memory 40, and a processor 50. The medical data processing system of the embodiment of the invention comprises any one or combination of a monitor, a local central station, a remote central station, a cloud service system, a mobile terminal, an imaging device, a treatment device and a support device. The medical data processing system of the embodiment of the invention can also be a portable life information processing system, a transfer type life information processing system, a mobile life information processing system or the like. The medical data processing system according to the embodiment of the present invention may also be applicable to a CDSS system (clinical decision support system), a CIS system (clinical information system), a mobile terminal (for example, ward round vehicle, mobile phone, tablet, computer), etc., and is not limited herein. The communication module 70 is configured to communicate with an external device to obtain medical data of a patient, such as with one or more medical data source devices 10. For example, the communication module 70 employs a communication interface that may be in wired communication with one or more medical data source devices 10 to obtain medical data from the medical data source devices 10. As another example, the communication module 70 employs a wireless communication module that may be wirelessly communicatively coupled to one or more medical data source devices 10 to obtain medical data from the medical data source devices 10.
The memory 40 is used to store programs.
The processor 50 is configured to execute the program in the memory 40 to perform processing and display of medical data, for example, the processor 50 obtains medical data of a patient, obtains evaluation information of a physiological structure of the patient based on the medical data of the patient, and further displays the evaluation information of the physiological structure on a display interface of the display 60. The specific process can be as shown in fig. 2, and comprises the following steps:
Step 1, the processor 50 acquires medical data of the patient. The medical data of the patient is derived from a medical data source device, wherein the medical data source device comprises at least one of a monitoring device, a treatment device, an imaging device, and an in vitro diagnostic device. In some embodiments, the data collected by the device may be collected by a sensor of the medical device itself, or may be obtained by a third party device, a third party system, application software, or the like, or may be obtained by input from a user.
The present embodiment is described taking at least two of a monitoring device, a treatment device, an imaging device, and an in-vitro diagnostic device as an example of a medical data source device.
When the medical data source device comprises a monitoring device, the medical data of the patient comprises the monitored data derived from the monitoring device, the processor 50 may acquire the monitored data collected or generated by the monitoring device directly or indirectly through the communication module 70. Monitoring devices include, but are not limited to, monitors, ventilators, anesthesia machines, infusion pumps, syringe pumps, and the like. The monitoring data includes, but is not limited to vital sign data and device data for a ventilator, infusion pump, etc. For example, the monitored data may include, for example, physiological parameters (e.g., temperature, blood oxygen saturation, heart rate, etc.), trends therein, medical scores, and the like.
When the medical data source device comprises a treatment device, the patient's medical data comprises treatment data derived from the treatment device, the processor 50 may acquire treatment data collected or generated by the treatment device directly or indirectly through the communication module 70. The treatment data may include physiological parameters, trends thereof, device parameters, and the like.
When the medical data source device comprises an imaging device, the medical data of the patient comprises image data derived from the imaging device, and the processor 50 may acquire the image data acquired or generated by the imaging device directly or indirectly through the communication module 70. Imaging devices include, but are not limited to, DR, XR, CT, PET, MR, nuclear medicine, ultrasound, and other medical imaging devices, as well as various X-ray machines, various infrared instruments, microscopy instruments, and other devices. The image data may include, for example, various types of medical images, measured values based on medical images, and the like.
In some embodiments, the imaging device may store the image data it collects or generates in an image archiving and communication system (PACS, picture ARCHIVING AND Communication System) and/or radiology information system (RIS, radiology Information System). The PACS is generally applied to medical imaging departments in hospitals, and the main task of the PACS is to store images acquired or generated by various daily imaging devices in a digital manner through various interfaces (analog, DICOM, network), and the PACS can be quickly returned for use under a certain authorization when needed, and meanwhile, some auxiliary diagnosis management functions are added. RIS is also one of the important medical imaging information systems in hospitals, which together with PACS constitutes an informative environment for medical imaging. The RIS is a computer information system based on task execution process management of hospital image department workflow, and mainly realizes computer networking control and management of medical imaging inspection workflow and sharing of medical image-text information, and realizes telemedicine on the basis.
In some embodiments of the present invention, when the aforementioned step "the processor 50 acquires medical data of a patient" is performed, the processor 50 may acquire image data acquired or generated by the imaging device from the PACS and/or RIS, and may also acquire image data acquired or generated by the medical imaging device, stored in the PACS and/or RIS, and further processed via the PACS and/or RIS. When the medical data source device comprises an in-vitro diagnostic device, the medical data of the patient comprises test data derived from the in-vitro diagnostic device, and the processor 50 may acquire the test data collected or generated by the in-vitro diagnostic device directly or indirectly through the communication module 70. The test data includes, but is not limited to, at least one of scale data, physical examination data, and furthermore, the test data includes, but is not limited to, data obtained by various laboratory or biochemical analysis devices, and may include, for example, at least one of blood routine test data, liver function test data, kidney function test data, thyroid test data, urine test data, immune test data, blood coagulation test data, blood gas test data, stool routine test data, and tumor test data.
In some embodiments, the in vitro diagnostic device may store the test data it collects or generates in a laboratory information system (LIS, laboratory Information MANAGEMENT SYSTEM). LIS is typically software used to process laboratory process information and may also be connected to other information systems such as hospital information systems (HIS, hospital Information System). The LIS can store not only the test data collected or generated by the in vitro diagnostic device, but also the subject matter of almost all laboratory studies, such as hematology, chemistry, immunology, blood bank, surgical pathology, anatomic pathology, on-line cell count, microbiology, etc.
In some embodiments, the medical data source device may also include other third party systems. The third party systems may include electronic medical record systems (EMR, laboratory Information MANAGEMENT SYSTEM), personal health record systems (PHR), hospital information systems (HIS, hospital Information System), hospital enterprise resource planning systems (HERP), central stations, in vitro diagnostic information systems, cardiovascular information systems (CVIS), and the like. When the medical data source device comprises a third party system, the medical data of the patient further comprises personal data and/or medical data of the patient obtained from the third party system. The processor 50 may obtain patient personal data and/or medical data in a third party system directly or indirectly through the communication module 70.
It will be appreciated that the medical data acquired by the processor 50 may include medical data acquired or generated by various medical data source devices, and that the invention is not limited as to the way in which such medical data is acquired.
The acquired medical data of the patient is usually real-time medical data, and in consideration of that some physiological parameters need to display statistical data or parameter waveforms, the medical data can also be medical data of a preset first time period, that is, medical data of a past period of time. The preset first period of time is not too long in view of timeliness.
Step 2, the processor 50 obtains the evaluation information of the physiological structure of the patient based on the medical data of the patient. The physiological structure includes at least one of a physiological system of the patient, a characteristic of the physiological system, an organ, and a characteristic of the organ. The physiological system may include at least one of the motor system, the nervous system, the endocrine system, the circulatory system, the respiratory system, the digestive system, the urinary system, and the reproductive system. The organ may include at least one of a brain, heart, lung, liver, stomach, and kidney. Characteristics of the physiological system or of the physiological organ include at least one of access, clotting, nutrition, infection, and blood glucose. In some embodiments, the physiological structure may include, in addition to the physiological system and its features, organs and characteristics described above, other physiological structures including, for example, one or more of the physiological system, organs, sites, tissues, features of the physiological system and features of the organs of the patient. The physiological site may include at least one of a head, a chest, and an abdomen. The tissue may include at least one of muscle tissue, nerve tissue, and epithelial tissue.
The assessment information includes a conclusion for a particular angle and medical data information for supporting the conclusion for the particular angle from a clinical dimension. The medical data information is derived based on the medical data of the patient. The medical data information may be extracted from medical data or processed from medical data. I.e. the content of the medical data information is less than the medical data of the patient, a subset of the unprocessed "medical data". For example, if the processed ultrasound image is included in the patient's medical data, the medical data information here may be the ultrasound image directly. For another example, the medical data information is a result obtained by processing medical data, for example, "the medical data" has "heart rate=160", and the result obtained by processing the medical data may include "heart rate overrun". Also for example, "medical data" is raw data such as "electrocardiographic signals", and "results of medical data processing" are, for example, "heart rate values (e.g., heart rate=160), arrhythmias (e.g., rapid atrial fibrillation, ventricular tachycardia, etc.), and the like.
The conclusion of a particular angle may be, for example, an evaluation of a clinical dimension of the physiological structure, either a current evaluation of the physiological structure or a subsequent prediction of the physiological structure. The medical data information in the evaluation information can also support the conclusion of the specific angle from the clinical dimension, namely, the two are connected through clinical priori knowledge, the medical staff can determine that the conclusion of the specific angle is correct after seeing the medical data information, and the conclusion of the specific angle can be rapidly understood and adopted. Such evaluation information belongs to the outline, refinement and concentration of the patient medical data in a clinical dimension of the physiological structure, and is helpful for medical staff to quickly grasp the condition of the physiological structure of the patient in the clinical dimension and to improve diagnosis and treatment efficiency. Particularly for young medical staff with insufficient diagnosis and treatment experience, the evaluation information can help medical care to more comprehensively, quickly and accurately know key information related to the illness state of the patient, so that clinical evaluation and decision making can be performed efficiently. The assessment information conveys patient information to the medical care in a concise manner, the medical care can easily read (read the representation at a glance) and grasp critical information that may exist for the patient without examining the patient in detail or analyzing the medical data in detail, for example, for a patient in a state of crisis in the body system or physiology, the medical care can grasp information related to the physical state of the patient instantaneously.
Step 3, the processor 50 displays the obtained evaluation information of the physiological structure of the patient on the display interface of the display. Therefore, the medical care does not need to look over complicated and huge medical data, and the patient condition can be mastered only by evaluating the information, so that the working efficiency is high. As shown in fig. 15 and 16, the evaluation information may be displayed in the evaluation window B.
In an embodiment, the evaluation information includes one or more of first evaluation information, second evaluation information, third evaluation information, and fourth evaluation information. Wherein the first evaluation information includes a medical measure suggestion and first medical data information for supporting the medical measure suggestion from a clinical dimension, the second evaluation information includes a stability conclusion for reflecting a stable condition of the physiological structure and second medical data information for supporting the stability conclusion from the clinical dimension, the third evaluation information includes a diagnosis conclusion and third medical data information for supporting the diagnosis conclusion from the clinical dimension, and the fourth evaluation information includes a risk early warning conclusion and fourth medical data information for supporting the risk early warning conclusion from the clinical dimension. The first medical data information, the second medical data information, the third medical data information, and the fourth medical data information are each obtained from a medical data process of the patient. In this embodiment, the evaluation information includes at least first evaluation information. Therefore, medical staff can reliably execute the diagnosis and treatment measures without mistakes by seeing the diagnosis and treatment measure suggestions in the first evaluation information and then seeing the corresponding medical data information to determine the diagnosis and treatment measure suggestions, diagnosis and treatment judgment is not needed according to complicated physiological parameters, and the working efficiency is improved. Specifically, the description may be given taking, as an example, that the evaluation information includes the above four kinds of evaluation information. Thus, the medical care can see the current conclusion of the physiological structure in two different clinical dimensions, namely the stability conclusion and the diagnosis conclusion, and can also see the prediction conclusion of the physiological structure in two different clinical dimensions, namely the diagnosis and treatment measure conclusion and the risk early warning conclusion, on the display interface. Basically covers the conditions of each dimension which is wanted by medical care, has comprehensive information, and ensures that the medical care can quickly and comprehensively grasp the illness state of patients.
In addition, the type of assessment information, as well as the content included in the various types of assessment information, may be customized by the healthcare/other user. The healthcare/other user may select corresponding assessment information and content contained therein in consideration of the patient's condition (e.g., heart failure, injury, respiratory failure, etc.), hospital equipment, hospital conditions, etc. At the same time, the medical care/other users can share or release the customized templates for other people to use. In practice, the healthcare/other user may conveniently select the template currently in use from one or more templates, either established by the current healthcare/other user or established by others not using the system.
Some existing products can display early warning states and early warning reasons. This is only an upgrade to the traditional alarm mode and does not reflect the general condition of the patient's physiological structure. The existing products can judge which preset rules are met by the medical data, then the patient state is obtained according to the met preset rules, and the patient state and the met rules are displayed. Still other existing products may derive patient status based on medical data and physiological reasons that may cause the patient status. These modes are all single, at most, the most important state of the patient is known by the medical care, and the medical care sees either huge and complicated medical data, or brief, important and single states and reasons, namely, too much data or too brief information, and comprehensive information cannot be obtained. The invention obtains four pieces of evaluation information and medical data information supporting the evaluation information, balances between medical data and summary, and can integrate four dimension conclusions to medical care. In addition, the four assessment information conclusions can be mutually verified, for example, the risk early warning conclusion can possibly prove the unstable stability conclusion of the physiological structure state, and the diagnosis conclusion can possibly support diagnosis and treatment measure advice, risk early warning conclusion and the like, so that the credibility of each conclusion, namely the assessment information, is greatly improved, the accuracy of the conclusion is judged by medical care without depending on own experience and knowledge, and the working efficiency is improved.
The method of obtaining the evaluation information in step 2 is relatively more, and will be illustrated below.
In one approach, the processor 50 analyzes the patient's medical data to determine one or more targeting rules satisfied by the medical data, determines evaluation information for a physiological structure corresponding to the one or more targeting rules, and the medical data information in the determined evaluation information includes at least the one or more targeting rules.
Because of the data type and volume of the medical data, the processor 50 may first analyze the medical data to obtain one or more analysis results reflecting characteristics of the medical data and determine the target rules satisfied by the medical data based on the analysis results. The analysis results may be quantized features or non-quantized features extracted from the medical data. The analysis result may include time information such as occurrence time, duration, and the like of the analysis result. And extracting the analysis result in the preset time range according to the time information of the analysis result, and comparing the analysis result with the preset rule.
The analysis results may include at least one of parameter values, events, results of secondary processing of parameter values, results of secondary processing of events. The parameter values may include values of physiological parameters, values of test indicators, values of device parameters, measured values of medical images, and the like. For example, the parameter values may include parameter values extracted from the monitored data, such as heart rate values extracted from heart rate data, respiratory rate values extracted from respiratory rate data, blood oxygen values extracted from blood oxygen data, and the like. The parameter values may also include measurements extracted from the image data, such as Ejection Fraction (EF) extracted from the ultrasound image. The parameter values may also include biochemical index values extracted from the test data, such as arterial blood oxygen partial pressure (PaO 2), brain Natriuretic Peptide (BNP), and the like. Parameter values may also include patient height, weight, age, etc. The parameter values may also include numerical codes assigned to non-quantized values (e.g., mental states), such as the value 1 for listlessness, etc. Corresponding to the medical data being raw data, the parameter values are obtained by processing the raw data once, and some parameter types are shown in the following table:
The results of the secondary processing of the parameter values include the results of operations using mathematical methods, including, for example, variance, average, median, maximum, trend change characteristics, fluctuation rate metrics, stationarity descriptions, random characteristics, morphology patterns, statistical parameters, and the like. The trend change feature is a feature value reflecting trend change of the parameter value in a period of time, and the feature value can reflect change direction or change speed of the parameter value. For example, heart rate increases monotonically at an average +0.3 beats/min over 1 hour, and oxygenation index decreases monotonically at an average-0.5 mmHg/min over 1 hour, where monotonically increasing can be represented by a value of 1 and monotonically decreasing can be represented by a value of-1. The secondary processing of the parameter values may also comprise further processing of at least two different processing results, e.g. deriving new parameters based on the mean and standard deviation of the heart rate, etc. Exemplary parameters after the secondary treatments are shown in the following table:
The events derived from the medical data include at least one of overrun alarms, abnormal events, clinical events. The overrun alarm is an alarm triggered by the processor 50 detecting that the parameter value exceeds a preset alarm limit, including but not limited to a heart rate overrun alarm, a blood pressure overrun alarm, a blood oxygen saturation overrun alarm, etc., wherein the "overrun alarm limit" may be higher than a highest alarm limit or lower than a lowest alarm limit. The abnormal event includes an abnormal event which is not an overrun alarm and is obtained based on characteristics such as waveforms of medical data, such as arrhythmia. Clinical events include examination events, diagnostic events, therapeutic events, care events, etc. described in medical data. The time at which the event occurred may also be recorded for subsequent analysis as the event is derived from the medical data. Clinical events can reflect the patient's condition, for example, if the patient is inhaling oxygen, it means that the patient may breathe unstably, the oxygenation is poor, but the condition is light and breathing spontaneously. If a ventilator is used to provide auxiliary breathing for a patient, the patient may have serious unstable breathing, the patient may lose consciousness and cannot breathe spontaneously, and the ventilation mode adopted by the ventilator can reflect the severity of the patient state to a certain extent, for example, the patient adopting invasive ventilation may be more serious than the patient adopting noninvasive ventilation. Administration therapy with either a pressure increasing or a pressure decreasing agent indicates that the patient may be circulating unstably, and thus the medication is used to maintain a steady blood pressure. Blood-replenishing treatments that maintain adequate blood volume, including but not limited to replenishing fresh plasma and erythrocytes, indicate that the patient may be circulating unstably, thus maintaining blood pressure steady by replenishing blood. Fluid replacement therapy (including, but not limited to, crystal fluid replacement and colloid fluid replacement) to maintain fluid balance indicates that the patient may be circulating unstably, thus maintaining fluid pressure balance through fluid replacement.
The events that exemplify some overrun alarms are shown in the following table:
Sequence number Parameter event name Sources of parameter events
1 Arrhythmia alarm ECG
2 ST/QT out-of-limit alarm ECG
3 Spo2 out-of-limit alarm Spo2
4 RR out-of-limit alarm RR
5 SBP out-of-range alarm IBP or NIBP
6 MAP out-of-limit alarm IBP or NIBP
7 DBP out-of-range alarm IBP or NIBP
8 TEMP out-of-limit alarm TEMP
Exemplary treatment events are shown in the following table:
The result of the secondary processing of the event comprises information such as occurrence frequency/frequency of the event, change trend of the occurrence frequency/frequency, duration and the like. The frequency of occurrence of the event includes, for example, the number of exceeding the heart rate value in the past 4 hours, the number of occurrence of atrial fibrillation in the past two hours, the number of occurrence of ventricular tachycardia in the last 30 minutes, etc., the trend of occurrence of the frequency includes, for example, the number of exceeding the heart rate value in the past 4 hours being increased or decreased as compared with the number of exceeding the heart rate value in the previous 4 hours, the atrial fibrillation load in the past 2 hours being increased or decreased as compared with the atrial fibrillation load in the previous two hours, etc., and the duration includes, for example, the duration of excessive or insufficient intracranial pressure (ICP), the duration of excessive or insufficient end-tidal carbon dioxide (etCO 2), the duration of average arterial pressure (MAP) <65mmHg, etc.
By integrating and extracting information contained in a variety of medical data, a large number of analysis results are obtained, after which the processor 50 can match and judge the analysis results according to a rule base, thereby determining a conclusion of evaluating a specific angle in the information according to the analysis results. The rule base contains a large number of preset rules, the preset rules and the conclusions of specific angles have a pre-established corresponding relation, the preset rules can be formulated based on various modes such as guideline rules, clinical consensus, clinical investigation and the like, compared with the method for determining the state of a patient based on a machine learning model, the method for determining the conclusions of specific angles according to the preset rules can embody the carrying and transmission of the past experience of medical staff, the accuracy is higher, the determined result is more controllable, and the method is more in line with the clinical cognition of the medical staff. Based on the analysis of the medical data by the rule base, a comprehensive, generalized, more accurate assessment of the state of the patient's physical system or function is achieved.
Specifically, processor 50 determines one or more targeting rules satisfied by the one or more analysis results based on the one or more analysis results. Each analysis result meets one item of target rule, or a plurality of analysis results meet one item of target rule, or each analysis result meets a plurality of item of target rules, and the analysis result depends on a preset corresponding relation between the target rule and the analysis result. The analysis result satisfies a certain target rule, which may be that the analysis result completely satisfies the target rule or that the analysis result is closest to the target rule.
Further, the processor 50 may compare the one or more analysis results with one or more preset rules in the rule base, thereby determining one or more target rules among the one or more preset rules that are satisfied by the one or more analysis results. Each preset rule comprises one or more preset conditions for one or more analysis results. Specifically, each preset rule may include a preset condition for a single analysis result, or may include a plurality of preset conditions for a plurality of analysis results. The preset conditions may include threshold conditions, trend conditions, qualitative conditions, and the like. Each preset rule is defined with a corresponding analysis result, and the corresponding relation between the preset rule and the analysis result can be selected to be included in the analysis result of comparison between the preset rules.
The at least two analysis results in the same preset rule may be a combination between parameter values (or a result of secondary processing on parameter values), a combination between parameter values and events (or a result of secondary processing on events), a combination between events, and the like. For example, at least two analysis results in the same preset rule may be a combination of parameter values and clinical events, so as to reflect the change condition of the patient after providing clinical treatment (such as breathing assistance, medication, fluid infusion, blood enrichment, etc.), and determine the treatment effect and the development trend of the patient state. For example, preset rule 1 is that after a treatment event of ventilator assisted breathing occurs, spO2 is gradually raised, which indicates that the respiratory system state is improved, and preset rule 2 is that after analgesic is used, the time for etCO2 is too low, or the time for RR is too low, or the time for SpO2 is too low, which indicates that the analgesic may be excessive, so that the respiratory system is inhibited, and the dosage of the drug needs to be reduced. In some embodiments, the same preset rule may also correspond to only one analysis result. For example, when a ventilator has been used to provide respiratory support to a patient, the patient may be considered to be a very critical patient, and thus "using a ventilator" may be used alone as a preset rule, with the corresponding patient status being unable to breathe spontaneously.
After determining one or more targeting rules that are satisfied by the analysis of the medical data, the processor 50 determines a conclusion of a particular angle of the physiological structure corresponding to the targeting rule. The processor 50 may use the conclusion of the specific angle corresponding to the target rule as the conclusion of the specific angle in the evaluation information according to the correspondence between the preset target rule and the conclusion of the specific angle of the physiological structure.
Therefore, the system provided by the invention can determine the conclusion of the specific angle in the plurality of evaluation information based on the medical data, and give the medical data information supporting the conclusion, does not need medical staff to subjectively analyze a large amount of data, and directly provides comprehensive, clear and concise information which needs to be focused for the medical staff.
The processor 50 may determine one or more conclusions of a specific angle corresponding to one or more target rules according to a correspondence between preset rules and conclusions of a specific angle.
The method comprises the steps of judging whether a physiological structure has a conclusion of a specific angle corresponding to a target rule or not according to a specific rule, wherein each target rule corresponds to a conclusion of a specific angle, namely, one target rule is met, judging whether the physiological structure has a conclusion of a specific angle corresponding to the target rule, or judging whether the physiological structure of a patient has a conclusion of a plurality of specific angles at the same time as long as one target rule is met, or judging that a patient has a conclusion of a specific angle corresponding to the multi-target rule only when the multi-target rule is met at the same time.
The processor 50 may determine the conclusions of the specific angles of the different physiological structures of the patient, respectively. For example, the processor 50 may configure a corresponding medical data type, data analysis means, and preset rules for each physiological structure. After the plurality of types of medical data of the patient are acquired, the medical data can be classified according to the corresponding relation between the physiological structure and the medical data, and then the medical data can be analyzed and judged according to the corresponding relation between the physiological structure, the data analysis mode and the preset rule. For example, medical data related to the respiratory system can be extracted from a plurality of types of medical data according to the corresponding relation between the respiratory system and the medical data, related analysis results are obtained according to a pre-configured data analysis mode, target rules met by the analysis results are determined in a plurality of preset rules related to the respiratory system, so that the target rules related to the respiratory system are obtained, and finally, a conclusion of a specific angle of the respiratory system is obtained according to the corresponding relation between the target rules and the conclusion of the specific angle.
The medical data information used to support the conclusion of a particular angle in the assessment information may include at least a portion of one or more targeting rules. The medical data information used for supporting the conclusion of the specific angle is displayed, so that the medical staff can be informed of the fact that the system of the medical staff draws the conclusion of the specific angle which is displayed currently, the credibility of the conclusion of the specific angle is improved, and on the other hand, the medical staff can be helped to treat symptoms in time. The processor 50 may update the evaluation information displayed on the display according to a preset update period, which may be preset by the system, may be entered or modified by the user, may be in minutes, hours, etc. The processor 50 may also continuously monitor the assessment information in the background and control the display to update the displayed assessment information when a change in the assessment information is detected.
In the first evaluation information, the conclusion of the specific angle is that the diagnosis and treatment measures are recommended, the medical care is prompted to perform the intervention on the patient in the next step, and the intervention can be the treatment measures, the diagnosis measures (such as performing certain examinations, improving the examination frequency, and the like) and the nursing. The medical data information is medical data information for supporting the medical procedure advice from the clinical dimension. Several first evaluation information are exemplified below.
A first evaluation information, a diagnosis and treatment measure proposal comprises that prone position ventilation can be considered if no contraindication exists, and medical data information comprises PaO2/FiO2 (x) which is less than or equal to 150 mmHg@time and PEEP (x) which is more than or equal to 5cm H2O.
Another first evaluation information, the medical measure proposal comprises that the use of cardiotonic is considered, the medical data information comprises that SBP is less than 90mmHg and is more than or equal to 30min, x is being applied to maintain blood pressure, urine volume is less than 30mL/h, skin temperature x, CI is less than or equal to 2.2L/(min m 2), and PCWP is more than or equal to 15mmHg.
The first evaluation information comprises medical treatment proposal of fluid replacement, and medical data information of SBP <90mmHg lasting more than or equal to 30min, blood pressure being maintained by application x, consciousness level x, lactic acid >2mmol/L, urine volume <30mL/h, and skin temperature x.
Considering that the single physiological parameter index abnormality directly suggests a relatively rough rate to the diagnosis and treatment measure, the medical data information of the first evaluation information has at least two dimensions of information. The processor 50 may extract key disease indicators associated with the physiological structure from the analysis results, and the key disease indicators may be extracted from the medical data or processed from the medical data as known from the analysis results. The condition index may include at least one of a physiological parameter, a test index, and a medical score. The medical data information in the first evaluation information may include a relationship between at least two critical condition indexes and corresponding thresholds, that is, diagnosis and treatment measures are suggested only when at least two critical condition indexes are abnormal. The medical data information in the first evaluation information may also include a trend of at least one critical condition index, and in this case, although only one critical condition index may be included, the trend of the change covers the dimension of time, so that the critical condition index+time-based diagnosis and treatment measure suggestion is accurate and strict.
The diagnosis and treatment measure suggestion in the first evaluation information may include one of prompt information for suggesting that the diagnosis and treatment measure is implemented and no specific diagnosis and treatment measure is given, prompt information for suggesting that the diagnosis and treatment measure is implemented and prompt information for suggesting that the current diagnosis and treatment measure is stopped. The diagnosis and treatment measures are classified into the three types, and for the intervention of the patient, the intervention is considered to be needed, but the intervention is not determined, and prompt information for suggesting the implementation of the diagnosis and treatment measures and not giving specific diagnosis and treatment measures can be given, so that doctors can be prompted to need to take the intervention measures, and the condition delay is avoided. Because the reliability of the evaluation information is high, medical care can adopt and execute the diagnosis and treatment measure suggestion, and the working efficiency is high.
In the second evaluation information, the conclusion of the specific angle is a stability conclusion for reflecting the stability condition of the physiological structure, and the medical data information is medical data information for supporting the stability conclusion from the clinical dimension. The following illustrates second evaluation information of several circulatory systems.
For example, in the second evaluation information of the circulatory system, the conclusion of the specific angle comprises that the circulatory system is unstable, and the medical data information comprises that the HR is increased, the SpO2 is decreased and the RR is decreased.
As another example, as shown in fig. 16, the "circulation instability" is the stability conclusion in the second evaluation information of the circulation system, and the lower three lines of contents are the corresponding medical data information.
As another example, in the second evaluation information of the circulatory system, the conclusion of the specific angle comprises unstable circulatory system, the medical data information comprises HR/SPO2/RR abnormality, IBP slight abnormality and no abnormality found in other parameters. Among the medical data information displayed therein, information reflecting the normal state of the patient's physical system and/or function and abnormal states of different severity may be differentially displayed. The state of the patient's physical system and/or function may include abnormality or absence of at least one of the physiological system, a characteristic of the physiological system, an organ, and a characteristic of the organ, an abnormality level, a criticality level, a care level, and the like. For example, different colors may be used for differential display, specifically, the content related to "HR/SPO2/RR abnormality" may be identified by red, the content related to "IBP slight abnormality" may be identified by yellow, and the content related to "no abnormality found by other parameters" may be identified by green. The display can also be performed in different display modes, specifically, the display can be performed in different flicker frequencies, and the flicker frequency of the abnormality with high severity is high, and the flicker frequency of the abnormality with low severity is low. Of course, the system may also include a speaker, and the processor 50 may broadcast the evaluation information through the speaker in voice, and may broadcast repeatedly at intervals, and also support continuous repeated broadcasting. For the risk early warning conclusion, if the risk early warning conclusion is not processed, the sound can be automatically and gradually turned up when the voice broadcast is performed, so that the medical care processing is prompted. The prompt for the evaluation information can be that the means are integrated together, and no description is given.
In the third evaluation information, the conclusion of the specific angle is a risk early warning conclusion, and the medical data information is medical data information for supporting the risk early warning conclusion from a clinical dimension. Several third evaluation information are exemplified below.
In the third evaluation information, the risk early warning conclusion comprises that severe shock is possible, and the medical data information comprises shock index (HR/SBP=x) >2.0.
In another third evaluation information, the risk early warning conclusion comprises that cardiac insufficiency is at risk, and the medical data information comprises that atrial fibrillation and glomerular filtration rate are less than 60 ml/min@time, and NT-proBNP >1440pg/ml.
In the third evaluation information, the risk early warning conclusion comprises high suspected sepsis, and the medical data information comprises infection, wherein the SOFA score is increased by more than or equal to 2 points (x) compared with a baseline.
In the fourth evaluation information, the conclusion of the specific angle is a diagnosis conclusion, and the medical data information is medical data information for supporting the diagnosis conclusion from the clinical dimension. Several fourth evaluation information are exemplified below.
In the fourth evaluation information, the diagnosis conclusion comprises that the period 1 of kidney injury is considered, and the medical data information comprises that the Scr (x) is more than or equal to 1.5-1.9 times of a base line value, the Scr is more than or equal to 26.5 mu mol/l, and the urine volume is less than 0.5 mL/(kg.h) duration (x) h.
In another fourth evaluation, the diagnosis includes considering sepsis shock, and the medical data includes infection with SIRS (systemic inflammatory response syndrome), including T≥38℃, HR≥90 bpm, RR≥20 rpm, PCO.2≥32 mmHg, WBC≥12.10≥9/L, WBC≥4.10≥9/L, SBP≥90 mmHg for >30min, MAP≥65 mmHg, and x-substance is being used to maintain blood pressure.
In the fourth evaluation information, the diagnosis conclusion comprises that the pre-capillary pulmonary hypertension is considered, and the medical data information comprises mPAP-25 mmHg and PAWP-15 mmHg.
In the fourth evaluation information, the diagnosis conclusion includes that the effective circulating blood volume is insufficient and shock risk exists, and the medical data information includes CVP (x) <8mmHg, MAP (x) <65mmHg, svO2 (x) <65% and urine volume (x) <0.5 mL/(kg.h). This gives an auxiliary diagnosis conclusion of the deterioration of physiological structure from the pathological mechanism.
From these exemplary evaluation information, it is understood that the same diagnosis and treatment proposal can be variously embodied, and the present invention is not limited as long as the meaning of giving a diagnosis and treatment prompt is expressed. The stability conclusion is also similar, and it is a summary of the stability of a physiological structure at the present or over time, whatever the way it is described, that this meaning can be expressed. The risk early warning conclusion is to early warn the current or impending risk, belongs to prediction, and can play a role in risk early warning no matter what mode is used for describing. The diagnosis conclusion is that the physiological structure can be diagnosed at present or for a period of time, and the diagnosis conclusion can express the meaning no matter how the physiological structure is described.
When the rule base is established, the corresponding relation between the analysis result and the conclusion of the specific angle can be established by using the prior knowledge of clinic, the experience of medical staff, various clinical guidelines and the like, so that the system analyzes the obtained evaluation information, the medical data information of the evaluation information is composed of one or more target rules and the analysis result meeting the target rules, the prior knowledge of clinic, the experience of medical staff and various clinical guidelines can be reflected between the conclusion of the specific angle and the medical data information, in other words, doctors can obtain the conclusion of the same specific angle by using the experience knowledge after seeing the medical data information, and therefore, the invention realizes the knowledge inheritance of doctors with abundant experience, young doctors can directly adopt the evaluation information to make diagnosis and treat decisions, and the working efficiency is improved.
In another approach, the assessment information may be obtained by a model. The processor 50 inputs the patient's medical data into a pre-trained model to obtain model-output assessment information of the patient's physiological structure. For example, a large number of patient medical data may be collected in advance, the medical data may be analyzed to obtain analysis results, and the analysis results may be labeled by a doctor, the conclusion of a specific angle and corresponding medical data information for supporting the conclusion of the specific angle from a clinical dimension may be labeled, and the model (e.g., machine learning model, deep learning model, etc.) may be trained using the labeled analysis results, thereby obtaining a trained model. The trained models can accumulate data and then synchronously train in the using process, so that through accumulation of clinical big data, the models can automatically record and analyze the correlation, thereby improving the accuracy of summarizing and refining and better assisting clinical decisions.
The stability conclusion belongs to the overall evaluation of the physiological structure, and the risk early warning, the diagnosis proposal and the diagnosis conclusion can reflect the stability of the physiological structure to a certain extent, so that the second evaluation information can be obtained from at least one of the other three evaluation information. In particular, the processor 50 obtains at least one of the first evaluation information, the third evaluation information and the fourth evaluation information of the physiological structure of the patient based on the medical data of the patient, and in this embodiment, a plurality of these three evaluation information can be generally obtained, and the manner of obtaining these three evaluation information is described in the foregoing, which is not repeated herein. Further, the processor 50 analyzes at least one of the first evaluation information, the third evaluation information, and the fourth evaluation information to obtain second evaluation information. The second evaluation information is obtained by one or more of the other three evaluation information, namely, the stability conclusion of the physiological structure is obtained by analyzing one or more conclusions of different clinical dimensions, and the accuracy of the obtained stability conclusion is high because the conclusions of different dimensions are integrated.
The processor 50 may control the display to display the assessment information of the patient's physiological structure via text information or graphics. Alternatively, text information and graphics may be used in combination. When the text information mode is adopted, the character strings related to the evaluation information can be preconfigured, wherein the character strings comprise the character strings for representing the physiological structure, the character strings for representing the specific conclusion and the like. The character string may be preset by an expert for each evaluation information, or may be adapted to the current specific evaluation information using a natural language processing-related method. The string may also allow a user to configure or modify, for example. When the graphic mode is adopted, a graphic which can visually represent the conclusion related to the conclusion of each evaluation information can be stored in advance, and the graphic can be called for display after the conclusion of the evaluation information is determined.
In one embodiment, the display interface displaying the evaluation information of the physiological structure may be a monitoring interface of the physiological structure of the patient, and the monitoring interface displays other information besides the evaluation information, so that the medical staff can know the illness state in more detail.
The processor 50 reduces the medical data of the patient to obtain reduced medical data of the physiological structure of the patient, wherein the reduced medical data of the physiological structure comprises a plurality of physiological parameters related to the physiological structure, inspection indexes related to the physiological structure, scores related to the physiological structure, diagnosis and treatment measures related to the physiological structure, equipment parameters of treatment equipment and statistical data of treatment target achievement conditions, and therefore the reduced medical data of the physiological structure is displayed on a monitoring interface of the physiological structure of the patient. The curves and values to the right of the evaluation window B in fig. 15 and 16 are simply reduced medical data. The medical data information may be part of the reduced medical data. The simplified medical data is more abundant than the evaluation information though being simplified, belongs to important medical data of various medical data source devices, and can enable doctors to master more detailed information.
In each piece of evaluation information, a conclusion of a specific angle is displayed in association with its medical data information, typically the conclusion of the specific angle is displayed in front and its medical data information is displayed in back. With multiple assessment information, multiple angle-specific conclusions can be displayed together, and multiple medical data information can be displayed together. For example, two kinds of evaluation information are displayed together as follows:
cardiogenic shock may occur, considering that cardiotonic drugs are used, SBP <90mmHg > 30min, maintaining blood pressure by x, urine volume <30mL/h, skin temperature x, CI < 2.2L/(min. M2), PCWP > 15mmHg.
The "possible cardiogenic shock" is the risk early warning conclusion of the third evaluation information, the "taking into account the cardiotonic" is the diagnosis and treatment measure suggestion of the first evaluation information, and the medical data information of the two follow-up information.
As shown in fig. 16, in the evaluation window B, the evaluation information of the respiratory system includes first and second evaluation information. The respiratory support device is recommended to be used for diagnosis and treatment measures in the first evaluation information, the respiratory system abnormality is the stability conclusion in the second evaluation information, and three lines of contents below the respiratory support device and the respiratory support device are medical data information.
For another example, three kinds of evaluation information are displayed together as follows:
The effective circulation blood volume is insufficient and has shock risk, and the recommended fluid replacement is SBP <90mmHg lasting for more than or equal to 30min, x is being applied to maintain blood pressure, consciousness level x, lactic acid >2mmol/L, urine volume <30mL/h, and skin temperature x.
The effective circulating blood volume deficiency is a diagnosis conclusion of the fourth evaluation information, the shock risk is a risk early warning conclusion of the third evaluation information, the recommended fluid replacement is a diagnosis and treatment measure suggestion of the first evaluation information, and the medical data information of the three follow-up elements is provided.
The above conclusions are obtained according to the following conclusion interpretation information (medical data information), the conclusions are not in conflict or rejection, but are based on the conclusion interpretation information combination, the conclusion interpretation information can support the conclusions of which dimensions, and the interface displays the conclusions of which dimensions.
The display interface is a monitoring interface of a physiological structure and mainly displays various information of the physiological structure. In some embodiments, the processor 50 may also obtain the evaluation information of the plurality of physiological structures and the reduced medical data in the manner described above, so as to correspondingly display the evaluation information of the one or more physiological structures and the reduced medical data in one or more display areas of the display interface of the display 60. Such a display interface may be referred to as a patient monitoring interface for ease of distinction. The doctor can see the disease condition of each physiological structure of the patient through the patient monitoring interface, and the method is very convenient.
The monitoring interface can enable the medical care to know the current real-time illness state of the patient, and the invention also provides a review interface which can be used for the medical care to review the illness state for a long time, and the specific process is shown in fig. 3, and the method comprises the following steps:
Step 4, acquiring the medical data of the patient, for convenience of distinction, the medical data in the foregoing embodiment may be referred to as first medical data, and the medical data in the embodiment shown in fig. 3 may be referred to as second medical data. The second medical data may include a first type of medical data and a third type of medical data. Specifically, a first type of medical data and a third type of medical data of the patient are acquired, e.g., the processor 50 acquires the first type of medical data and the third type of medical data of the patient via the communication module 70. Wherein the first type of medical data reflects the physiological condition of the patient and the third type of medical data reflects the medical procedure accepted by the patient. The execution subject of the scheme can be various hospital systems including clinical information systems. The system can be directly connected with the data source in a point-to-point communication mode, and can also be indirectly connected with the data source through transfer equipment such as a gateway and the like.
Wherein the healthcare operation may include at least one of a therapeutic measure, a diagnostic measure, and a care operation. Therapeutic measures are for example non-invasive ventilation, administration, CRRT treatment, etc. measures to provide life support for the patient. Diagnostic measures are for example updating the image report, making more detailed checks, invasive monitoring, monitoring frequency, checking frequency, etc. Examples of the nursing operation include drainage, and tube placement. It can be seen that the third type of medical data does not describe specific physiological parameters, but only what medical procedure the patient received. In some embodiments, the processor 50 may obtain the first type of medical data of the patient directly from the first type of medical data source device through the communication module 70, or may obtain the first type of medical data collected or generated by the first type of medical data source device indirectly, such as from various systems in a hospital, or even by manually inputting medical data displayed by a medical care in light of the first type of medical data source device, as long as the first type of medical data is collected or generated by the first type of medical data source device (the final source), and how the processor 50 obtains the data is not limited. Likewise, the processor 50 may obtain the third type of medical data of the patient directly from the third type of medical data source device through the communication module 70, or may indirectly obtain the third type of medical data collected or generated by the third type of medical data source device, such as from various systems in a hospital, even if the medical care is manually input with respect to the medical data displayed by the third type of medical data source device, as long as the third type of medical data is collected or generated by the third type of medical data source device (final source), and how the processor 50 obtains the data is not limited. The first type of medical data source device may include at least one of a monitoring device, a treatment device, an imaging device, and an in vitro diagnostic device. The monitoring device may be, for example, a bedside monitor, a monitoring central station, etc., and the medical data may include monitored data. The treatment device may be, for example, a ventilator, an anesthesia machine, an infusion pump, an extracorporeal circulation device, etc., the medical data of which may include treatment data. The imaging device may be, for example, an ultrasound imaging device, an X-ray radiography system, a nuclear magnetic resonance device, an endoscope device, etc., and the medical data thereof may include image data. The in vitro diagnostic device may be, for example, a biochemical analyzer, an immunoassay analyzer, a urine and other sample analysis device, etc., and the medical data may include detection data. The first type of medical data may include physiological data collected by the first type of medical data source device, for example, the monitored data may include various physiological parameters (such as temperature, blood oxygen saturation, heart rate, etc.), variation trends thereof, medical components, etc., the treatment data may include physiological parameters, variation trends thereof, device parameters, etc., the image data may include various medical images, measurement values based on medical images, etc., and the detection data may include various inspection indexes (such as blood routine, liver, kidney function indexes, etc.), etc. And a third type of medical data source device includes a treatment device and/or a third party system, etc. The medical data in the treatment facility may reflect patient-accepted treatment, and the third party system may include an electronic medical record system (EMR), a Hospital Information System (HIS), a hospital enterprise resource planning system (HERP), a central office, or an in-vitro diagnostic information system, etc., where the medical data in the electronic medical record system may reflect patient-accepted diagnostic measures, care operations, etc. The third type of medical data may include device parameters collected by the treatment device (e.g., drug dosage, drive pressure, tidal volume, inspiratory-expiratory ratio, PEEP, etc.), diagnostic measure records and care operation records collected by a third party system, etc. The device parameters of the various treatment devices can reflect the treatment measures. In addition, the data source in this embodiment is not necessarily a direct data source, but may be an indirect data source relayed by other devices.
Since the summary information of the physiological structure is required to be given based on the first type and the third type of medical data, and belongs to the summary of the physiological structure of the patient in the past period of time, in this embodiment, the first type of medical data acquired by the processor 50 is the first type of medical data of the patient preset for the second period of time, and the acquired third type of medical data is the third type of medical data of the patient preset for the second period of time. The preset second period of time may be set as required, for example, may be 24 hours, and the preset second period of time is longer than the preset first period of time.
Step 5, the processor 50 obtains summary information of one or more physiological structures of the patient based on the first type of medical data and the third type of medical data of the patient. Wherein the physiological structure comprises a physiological system or organ of the patient. Wherein the physiological system may include at least one of a motor system, a nervous system, an endocrine system, a circulatory system, a respiratory system, a digestive system, a urinary system, and a reproductive system. The organ may include at least one of a brain, heart, lung, liver, stomach, and kidney. In some embodiments, the physiological structure may include other physiological structures in addition to the physiological systems and/or organs described above, such as, for example, physiological structures including one or more of the patient's physiological system, physiological organs, physiological sites, tissues, characteristics of physiological systems, and characteristics of physiological organs. The physiological site may include at least one of a head, a chest, and an abdomen. The tissue may include at least one of muscle tissue, nerve tissue, and epithelial tissue. The characteristics of the physiological system or the characteristics of the physiological organ may include at least one of an amount of access, coagulation, nutrition, infection, blood glucose, and a medical event. In this embodiment, summary information of several physiological structures can be obtained according to the first type and the third type of medical data.
The specific content of the summary information of the physiological structure is important for the doctor to quickly understand the condition of the patient, so that not only the condition of the patient can be comprehensively and comprehensively summarized, but also the reason for supporting the summary is needed to be given, and the medical care can accept the summary conclusion given by the machine. Compared with the prior art, the physiological structure summary information of the invention is more comprehensive, and can follow the paradigm of the summary information no matter what physiological structure is, so that the physiological structure of the patient is clear at a glance. Two summary information are illustrated below.
Summary information of physiological structure includes three summaries, a summary of physiological structure status, a summary of healthcare procedures based on details of healthcare procedures, and a summary of conditions based on physiological data and/or details of changes thereof. Wherein the details of the healthcare operation are obtained based on the third type of medical data, that is, the processor 50 may process the third type of medical data to obtain the details of the healthcare operation, so that the healthcare operation is summarized based on the details of the healthcare operation, and the summary is equivalent to a conclusion reflecting the overall situation of the healthcare operation in the preset time period. Specifically, in this embodiment, details of the medical operation are specifically details of a change of the medical operation, and the summary is equivalent to a conclusion reflecting a change situation of the medical operation in a preset period of time. The physiological data and/or the change details thereof are obtained based on the first type of medical data, i.e. the processor 50 may process the first type of medical data to obtain the physiological data and/or the change details thereof, so as to summarize the condition based on the physiological data and/or the change details thereof, wherein the summarization is equivalent to a conclusion reflecting the condition change condition of the physiological structure within the preset time period. Wherein, the summary of medical care operation and the summary of illness state are used for supporting the summary of physiological structure state from two different clinical dimensions, namely, the experienced doctor sees the summary of medical care operation and the summary of illness state, and can obtain the summary of physiological structure state by himself, and the invention is automatically realized by a system. That is, the three summaries are related, and the change of medical care operation and disease state can reflect the state of physiological structure, for example, the patient changes from non-invasive ventilation to invasive ventilation, which indicates that the respiratory system state is worse, and the blood oxygen saturation is too low and/or the respiratory system state is worse. Such as an increase in the frequency of monitoring a physiological parameter, may also be indicative of the health care at the bedside regarding a deterioration of the condition of a physiological system of the patient. In the prior art, physiological parameters or disease summary reflect improvement of the disease condition of a patient, the physiological structural state obtained by the prior art is stable, however, the conclusion is that the improvement of the disease condition is realized under the condition that therapeutic measures are added, that the physiological structural state is not stable in practice, that is, the patient changes from noninvasive ventilation to invasive ventilation, then the blood oxygen saturation rises, and if the physiological parameters are just seen as in the prior art, the conclusion that the state is stable or improved is possibly obtained, and the state of the patient is not good in practice due to the fact that the invasive ventilation is used. therefore, the invention can support and verify the summary of the physiological structure state from two dimensions of diagnosis and treatment intervention and disease change, and the information is more comprehensive and reliable. The summary of the physiological structure state is equivalent to the condition of summarizing the physiological structure by a sentence, and the summary of the medical care operation and the summary of the illness state not only give the summary of the physiological structure in two clinical dimensions of medical care intervention and illness state more carefully, but also support and verify the summary of the physiological structure state, so that doctors can not doubt the correctness of the summary of the physiological structure state. As mentioned above, the summary of the prior art generally only summarizes from one dimension of the condition, even though a summary of the condition is mentioned, the summary of the state is essentially a summary of the condition due to the fact that only one factor of the condition (based on physiological parameters) is considered. The three summaries included in the summary information of the invention, namely one summary overview outline of the physiological structure state, briefly summarises the physiological structure of the patient, and the other two summaries summarize the medical intervention and the two dimensions of the illness state, and mutually verify and support the summary of the physiological structure state. Obviously, the summary information provided by the invention is more comprehensive and has higher credibility, so that doctors can know the condition of patients more quickly. The summary information of the physiological structure in this embodiment belongs to a summary of the physiological structure of the patient in the past for a period of time, so the summary information of the physiological structure further includes a preset period of time, that is, has information capable of representing the preset period of time. Thus, doctors can quickly master the comprehensive situation of the physiological structure of the patient in the preset time period in the past.
Because most of the conventional monitoring interface is composed of various physiological parameters, numerical values of equipment parameters, curves and the like, the medical care has difficulty in extracting key information from the physiological parameters, the numerical values of equipment parameters, the curves and the like. Therefore, the three summary of the embodiment are text information, and summary of physiological structure is given from three angles through text content conciseness, so that the medical care can rapidly extract key information. Summary information of several physiological structures is exemplified below.
An example of summary information for the respiratory system includes that the patient respiratory system was unstable, intervened escalation, and the condition was not improved for the past 24 hours. The "past 24 hours of patient respiratory instability" or "patient respiratory instability" is a summary of respiratory status, "intervention escalation" is a summary of healthcare procedures, and "condition not improvement" is a summary of conditions. The summary of the physiological structure states can be in front of the other two summaries, so that the reading habit of total → minute is met, three summaries are included in one sentence, and the information quantity is very high.
An example of summary information for the circulatory system includes the past 24 hours of unstable circulatory system, intervention upgrades, and improvement in the condition of the patient.
Another example of summary information for the circulatory system includes the patient circulatory system stabilization, intervention degradation, and improvement in condition over the past 24 hours.
Another example of summary information for the respiratory system includes past 24 hours, respiratory instability, intervention adjustments, and improvement.
The summary information of another physiological structure is more detailed, and includes other contents besides the three summary. Specifically, the three above summary are referred to as the overall situation conclusion of the physiological structure. Summary information of physiological structures includes details of medical procedures related to physiological structures and details of physiological data and/or changes thereof related to physiological structures, in addition to general case conclusions of physiological structures. Likewise, the overall situation conclusion of the physiological structure may be a textual message.
Details of the healthcare operation associated with the physiological structure are derived based on the third type of medical data, and details of the physiological data and/or variations thereof associated with the physiological structure are derived based on the first type of medical data. The details of the medical operation related to the physiological structure are used for supporting corresponding summary of the medical operation from clinical dimension, namely, after a doctor sees the details of the medical operation related to the physiological structure, the doctor can infer the summary of the medical operation, so that after seeing the summary of the medical operation, the doctor can see the details of the medical operation related to the physiological structure without worry, and the doctor are in a mutually-verified relationship, so that the reliability of the summary of the medical operation is improved. In this embodiment, the details of the medical operation are the details of the change of the medical operation, so that the doctor can see whether the medical operation has changed, whether the medical operation has been newly added, reduced, strengthened, weakened, etc. in the past, so that the medical operation is approved to be summarized. Similarly, the physiological data and/or the change details thereof related to the physiological structure are used for supporting the corresponding summary of the illness state from the clinical dimension, namely, after the doctor sees the physiological data and/or the change details thereof related to the physiological structure, the doctor can infer the summary of the illness state, so that after seeing the summary of the illness state, if the doctor is not relieved, the doctor can see the physiological data and/or the change details thereof related to the physiological structure, and the physiological data and/or the change details thereof are in a mutually-printed relationship, thereby improving the credibility of the summary of the illness state. The following is also illustrative of summary information of several physiological structures.
Summary information examples of respiratory systems are as follows:
The respiratory system of the patient is unstable, the intervention is updated, and the illness state is not improved in the past 24 hours
Intervention analysis respiratory support was changed from non-invasive mechanical ventilation to invasive mechanical ventilation, peep=8, fio2=60%
Index analysis, oxygenation index=260, blood oxygen saturation=91%
The intervention analysis column is the details of the medical care operation related to the physiological structure, and the index analysis column is the details of the physiological data and/or the change of the physiological data related to the physiological structure.
Taking the above summary information as an example, the first row of information may be referred to as summary information of the physiological structure, the second row of information may be referred to as details of the treatment measures related to the physiological structure, and the third row of information may be referred to as physiological structure-related physiological data (if index data of two moments are included in the third row of information, that may also be referred to as details of changes in physiological structure-related physiological data). The first display element in the first line of information is that the patient circulatory system is unstable for the past 24 hours, the second display element in the first line of information is that the intervention and upgrading can be regarded as the summary of treatment measures, and the third display element in the first line of information is that the illness state is not improved can be regarded as the summary of illness state. An example of summary information for a circulatory system is as follows:
The circulatory system of the patient is unstable, intervenes and upgrades in the past 24 hours, and the illness state is improved
Intervention analysis, norepinephrine dose was increased from 0.4 to 1.0, dopamine was used in parallel, dose 15.0
Index analysis SBP increased from 70mmHg to 105mmHg, heart rate from 53 to 90, CO from 1.0 to 2.5
Another example of summary information for a circulatory system is as follows:
The circulatory system of the patient is stable, the intervention is degraded and the illness state is improved in the past 24 hours
Intervention analysis, deactivation of norepinephrine
Index analysis sbp=101 mmhg, hr=96, co=3.0
Another example of summary information for the respiratory system is as follows:
in the past 24 hours, the respiratory system is unstable, the intervention measures are adjusted, and the illness state is improved
Intervention analysis, the breathing machine mode is adjusted to simv from psv, the oxygen inhalation concentration is increased to 70 from 50, the bronchofiberscope inhales phlegm for 1 time, and in closed thoracic drainage, meropenem 1g tid
Index analysis 22:00SpO2 was decreased from 95 to 70, 10SpO2 was increased to 95, and the latest blood gas analysis result showed no acid-base imbalance
It should be emphasized that this embodiment summarizes a patient state analysis and presentation paradigm that is not a simple data listing, and that each element within a paradigm has its own clear internal connections. The information analyzed and presented by the paradigm can help medical care to better judge the state of the physiological structure of the patient. See in particular the following description and analysis:
Referring to fig. 4, the summary information of the physiological structure has three levels and two clinical dimensions, the information of the lower layer can support the summary of the upper layer and also is the explanation of the summary of the upper layer, the three levels are gradually mutually verified and supported layer by layer, and the three levels are better than the prior art with two levels and a single dimension, and the displayed information is more comprehensive, accurate and reliable. That is, the summary information of the physiological structure is generally an organic whole, and each information has different emphasis points, but the combination can enable the medical care to quickly grasp the illness state of the patient and promote the diagnosis and treatment efficiency of the medical care.
The processor 50 obtains summary information of one or more physiological structures of the patient based on the first type of medical data and the third type of medical data of the patient, in a number of ways, as will be exemplified below.
For details of the medical care operation related to the physiological structure and summary of the medical care operation based on the details of the medical care operation, two processing methods are exemplified.
In the first processing mode, the summary of the medical operation can be obtained on the basis of the details of the medical operation related to the physiological structure by combining with the clinical priori knowledge, namely the details of the medical operation related to the physiological structure are the reason, the reason and the explanation of the summary of the medical operation, so that doctors can understand and approve the summary of the medical operation, and the details of the medical operation related to the physiological structure can be analyzed to obtain the summary of the medical operation. That is, the processor 50 analyzes the third type of medical data of the patient to obtain details of the medical procedure associated with the physiological structure of the one or more physiological structures of the patient, and further analyzes the details of the medical procedure associated with the physiological structure to obtain a summary of the medical procedure. For example, the processor 50 analyzes the third type of medical data of the patient to obtain medical care operations at different times within a preset time period of the patient, for example, according to the device parameters of the treatment device, according to the diagnostic measure records of the third party system, according to the medical care operations at different times within the preset time period, according to the corresponding relationship between the preset medical care operations and the physiological structures, determines the physiological structure corresponding to the medical care operations of the patient (such as invasive/noninvasive ventilation corresponding to the respiratory system, specific drug type corresponding to the specific physiological structure, etc.), that is, obtains one or more medical care operations of the physiological structure at different times, and further obtains medical care operations related to the physiological structure according to the medical care operations of the physiological structure at different times, if the medical care operations have not changed, the details of the medical care operations include the current medical care operations (such as continuous invasive mechanical ventilation), and can also include the device parameters associated with the medical care operations (such as peep=8, fi2=60), if the medical care operations have changed, the medical care operations include the medical care operations including the invasive ventilation details (such as the ventilation details after the medical care operations have been changed FiO2 was adjusted from 50% to 80% under invasive ventilation, norepinephrine dose was reduced from 1.0 to 0.4, etc.). The system is preset with a plurality of judging rules (for convenience of distinction, such judging rules can be called as third rules), and the corresponding relation between the judging rules and the summary of the medical care operation is preset. The processor 50 judges whether details of the medical care operation related to the physiological structure satisfy a preset judgment rule, takes the satisfied preset judgment rule as a target judgment rule, and takes a summary of the medical care operation corresponding to the target judgment rule as a summary of the medical care operation of the physiological structure according to a correspondence relationship between the judgment rule and the summary of the medical care operation. The judging rules are various, for example, the medical operation is unchanged, the medical operation is from no to no, the medical operation is from no to from strong to weak, the medical operation is from weak to strong, and the like. Summary of healthcare operations is a summary of changes in healthcare operations, such as no changes, upgrades, downgrades, etc. The details of the medical care operation related to the physiological structure are detailed records of the change condition of the medical care operation, such as the increase or decrease of the drug dosage from XX to XXX, the change from noninvasive ventilation to invasive ventilation, and the like, which at least cover one preset judgment rule, in this embodiment, the details of the medical care operation related to the physiological structure are richer than the preset judgment rule, because the judgment rule may be just the change of the medical care operation, and the change details give out the specific medical care operation.
The obtained summary of the physiological structure and the medical operation can be one of the following six summaries of the medical operation, namely that the medical operation does not occur, the medical operation does not change, the medical operation is adjusted, the medical operation is upgraded, the medical operation is degraded and the medical operation is omitted. Wherein, the judging rule corresponding to the medical operation does not appear comprises that the medical operation is not found in the details of the medical operation. The decision rule corresponding to no change in the healthcare operation includes no change in the healthcare operation in the details of the healthcare operation (e.g., continuous invasive mechanical ventilation of the patient for a preset period of time, peep=8, fio2=60%). The decision rule corresponding to the medical operation adjustment includes that the medical operation in the change details is changed, but whether the medical operation is upgraded or downgraded (i.e., whether the medical operation is strong or weak before and after the change cannot be judged). The medical operation adjustment is mainly that some medical operations are simply adjusted, and whether the medical operations are upgrading or downgrading cannot be judged. For example, the replacement of a vasoactive drug may be performed in some cases because the patient is adjusted according to the change in the condition, and the patient is not promoted or demoted, thus prompting the doctor to adjust the treatment. One decision rule corresponding to the healthcare operation upgrade includes that the healthcare operation changes from none to none, for example, the change detail is noninvasive ventilation to invasive ventilation. Another decision rule corresponding to an upgrade of a healthcare operation includes that the same healthcare operation is changed from weak to strong, for example, the change details are that FiO2 is adjusted from 50% to 80% under invasive ventilation. One decision rule corresponding to healthcare operation degradation includes the presence or absence of a healthcare operation, e.g., the change detail is that the patient is offline. Another decision rule corresponding to a degradation of healthcare operation includes a weakening of the healthcare operation from strong, for example, a change in details of the norepinephrine dosage from 1.0 to 0.4. The decision rule corresponding to the omission of the medical care operation includes that the medical care operation to be executed does not appear in the change details (the medical care operation to be executed can be obtained from a third party system, such as a medical order, a check list and the like), for example, the change details are that the image report is not updated for three days.
Based on the above-described decision logic, the present embodiment summarizes a patient state analysis and presentation paradigm that is not a simple data listing, with each element within the paradigm having its own clear internal connections. The information analyzed and presented by the paradigm can help medical care to better judge the state of the physiological structure of the patient.
In a second processing mode, the processor 50 inputs a third type of medical data of the patient into a pre-trained model, resulting in details of and summaries of the healthcare operations associated with the physiological structure of the patient's one or more physiological structures output by the model. For example, a third type of medical data of a large number of patients may be collected in advance, and labeled by a doctor, corresponding summary of medical operations and details of medical operations related to physiological structures are labeled, and the model (such as a machine learning model, a deep learning model, etc.) is trained by using the labeled third type of medical data, so as to obtain a trained model. The trained models can accumulate data and then synchronously train in the using process, so that through accumulation of clinical big data, the models can automatically record and analyze the correlation, thereby improving the accuracy of summarizing and refining and better assisting clinical decisions.
The invention not only gives a summary of medical care operation in the past period, but also gives a summary reason, namely gives specific medical care operation change conditions, such as treatment measure upgrading, and gives specific treatment measure upgrading conditions (such as that a patient changes from noninvasive ventilation to invasive ventilation or the concentration of oxygen inhaled by a patient breathing machine is adjusted from 50% to 80%. A.) so as to give an efficient and reliable prompt to medical staff after the follow-up indication.
For physiological data related to physiological structure and/or its change details and summary of the condition based on the physiological data and/or its change details, two treatment modes are exemplified.
In the first treatment mode, the summary of the illness state can be obtained by combining clinical priori knowledge on the basis of the physiological data related to the physiological structure and/or the change details thereof, namely the physiological data related to the physiological structure and/or the change details thereof are the reason, the reason and the explanation of the summary of the illness state, so that doctors can understand and approve the summary of the illness state, and therefore the physiological data related to the physiological structure and/or the change details thereof can be analyzed, and the summary of the illness state is obtained. In addition, essentially every physiological structure has one or more important (critical) physiological parameters, test indicators or medical scores etc., so that a summary of the condition can be made based on these critical physiological data. For ease of illustration, concepts of condition indicators are introduced, the condition indicators including at least one of physiological parameters, test indicators, and medical scores. The key disease index types are associated with each physiological structure in advance, and the key disease index types associated with the physiological structure are the types of key physiological parameters, the types of key inspection indexes, the types of key medical scores and the like of the physiological structure. The processor 50 analyzes the first medical data of the patient according to one or more pre-associated critical condition index types of the physiological structure of the patient to obtain critical condition indexes associated with the physiological structure, and specifically may include directly extracting critical condition indexes from the first medical data or processing the first medical data to obtain critical condition indexes, where the critical condition indexes include at least one of critical physiological parameters, critical inspection indexes and critical medical scores, and the critical condition indexes are used as physiological data related to the physiological structure, and/or the critical condition indexes are changed (such as a change trend, a change curve, etc.) according to the corresponding relationship between the critical condition indexes and time, and the critical condition indexes are changed as physiological data change details related to the physiological structure. The system is pre-configured with a plurality of decision rules (such decision rules may be referred to as first rules for ease of distinction). And judging whether physiological data and/or change details thereof related to the physiological structure meet preset judging rules or not, if so, determining that the summary of the illness state is improved, and if not, determining that the summary of the illness state is not improved. The preset judging rule is actually the condition of improving the illness state, is the expectation of medical care on the critical illness state index of the patient and/or the change of the critical illness state index, and can comprise that the critical illness state index reaches a preset interval, the change of the critical illness state index meets the preset condition, and the like. The preset of the judgment rules can be preset by a system or manually set by medical staff. Therefore, the summary of the illness state can be used for leading doctors to know whether the illness state of the current patient is improved or not, and the main basis is whether the critical illness state indexes of the patient meet the expectations of medical care on the patient or not and whether the change trend of the indexes meets the expectations of the medical care on the patient or not.
For example, the physiological data change details related to the physiological structure are that SBP is increased from 65mmHg to 100mmHg and heart rate is increased from 50bpm to 98bmp, and the corresponding summary of the illness state is that the illness state is improved, namely the summary reflects the illness state improvement of the patient, and the physiological data change details are in accordance with medical care expectations. As another example, the physiological data change details related to the physiological structure are that SBP is reduced from 110mmHg to 78mmHg and SpO2 is reduced from 96 to 85, and the corresponding summary of the illness state is that the illness state is not improved, namely the summary reflects that the illness state of the patient is not improved, and the physiological data change details are not in accordance with medical care expectations. Also for example, the physiological data related to physiological structure is lactic acid=5.0 mmol/L and WBC=18X10X10ζ9/L, and the corresponding summary of the condition is that the condition is not improved, i.e. the summary reflects that the condition of the patient is not improved, and the physiological data does not conform to the medical expectations.
In a second processing mode, the processor 50 inputs the first type of medical data of the patient into a pre-trained model to obtain physiological data related to the physiological structure and/or details of its changes and a summary of the condition output by the model. For example, a large number of first type medical data of patients can be acquired in advance, and marked by a doctor, corresponding summary of disease operation and physiological data related to physiological structures and/or change details thereof are marked, and the model (such as a machine learning model, a deep learning model and the like) is trained by using the first type medical data with marks, so that a trained model is obtained.
The summary of physiological structural states is also obtained in two ways.
In a first processing mode, after the processor 50 obtains a summary of the condition of one or more physiological structures and a summary of the medical care operation by the method described above, two clinical dimensions, that is, the summary of the condition and the summary of the medical care operation, are comprehensively analyzed to obtain a summary of the physiological structure state. For example, the system is preset with a summary of the illness state and a correspondence between the summary of the medical care operation and the summary of the physiological structure state, and the processor 50 obtains the first two summaries, and then determines the summary of the physiological structure state according to the correspondence. The physiological structure state summary is obtained by integrating the summary of the illness state and the summary of the medical care operation, so that the accuracy is high, for example, the summary of the illness state reflects the stability of the physiological structure state, but the summary of the medical care operation reflects the instability of the physiological structure state, so that the unstable summary of the physiological structure state can be obtained, and the situation that a single physiological dimension obtains one-sided inaccurate conclusion is avoided.
In a second processing mode, the processor 50 inputs the first type of medical data and the third type of medical data of the patient into a pre-trained model to obtain summary information of one or more physiological structures of the patient output by the model. For example, a large number of first-class medical data and third-class medical data of a patient may be acquired in advance, the first-class medical data and the third-class medical data are labeled by a doctor, summary information of corresponding physiological structures is labeled, and models (such as a machine learning model, a deep learning model, etc.) are trained by using the first-class medical data and the third-class medical data with labels, so that a trained model is obtained.
Step 6, the processor 50 displays summary information of one or more physiological structures on the display interface of the display 60. In theory, the disease and treatment of the current patient relate to which physiological structures, and summary information of which physiological structures can be obtained. The general condition conclusion of the physiological structure is summarized based on diagnosis and treatment information (first type and third type medical data of a preset time period) of patient history, so that medical care can quickly know the past disease development condition of the patient and the medical care diagnosis and treatment condition of the patient, and the medical care diagnosis and treatment system has remarkable clinical value for daily management, diagnosis and treatment of the patient, daily switching and the like.
In this embodiment, the summary information is displayed in units of physiological structures, and the processor 50 correspondingly displays the summary information of one or more physiological structures in one or more display areas of the display interface of the display 60. That is, the display interface is divided into one or more display areas, each display area is used for displaying information of one physiological structure, and summary information of each physiological structure is displayed in the display area to which the display interface belongs, so that medical care can conveniently view the summary information of the physiological structure which the medical care wants to see.
In one embodiment, the overall condition conclusion of the physiological structure, details of the medical procedure associated with the physiological structure, and physiological data associated with the physiological structure and/or details of changes thereto are displayed in association. As shown in the summary information in the preceding tables, the general case conclusion (three summaries) of the physiological structure is shown before, and the details of the medical procedure related to the physiological structure and the details of the physiological data related to the physiological structure and/or the changes thereof are shown after, showing the data support structure shown in fig. 4. The reading habit of medical care is met, and the information can be extracted more efficiently.
The system provided by the invention is suitable for making clinical decisions for doctors, for example, the system can be a CDSS system (clinical decision support system), a CIS system (clinical information system) and the like, can realize various functions mentioned by the invention no matter what the system is called, can be arranged on various devices with processing capability, such as a PC (personal computer), a notebook computer, a tablet personal computer, a mobile terminal and the like, and is convenient for doctors to master the condition of patients at any time. The system can also display medical data acquired from a medical data source device, but the medical data is diverse in source and large in data amount, one interface displays less data and doctors want to see important data, so that the acquired medical data can be simplified. For example, the processor 50 may reduce the first type of medical data and/or the third type of medical data to obtain reduced medical data for one or more of the aforementioned physiological structures, such that the reduced medical data for the physiological structure is also displayed in the display area (each of the figures represents a display area) in which summary information for the physiological structure is displayed, as shown in fig. 6-12. Wherein the reduced medical data of the physiological structure as a whole is located before or after the summarized information of the physiological structure, and is located before in the figure. As can be seen, the reduced medical treatment includes one or more of physiological parameters associated with the physiological structure, test indicators, medical scores, medical procedures, device parameters of the treatment device, and statistics of the achievement of the treatment objective. The simplified medical data is more abundant than summary information though being simplified, belongs to important medical data of various medical data source devices, and can enable doctors to master more detailed information.
The whole display interface is shown in fig. 13, and the simplified medical data and summary information of a plurality of physiological structures are displayed in different areas, so that a user can see the summary and the detailed data on one interface, the device is very convenient, and the human-computer interaction efficiency is high. For ease of distinction, the aforementioned display interface, i.e., the display interface shown in FIG. 13, may be referred to as a review interface for reviewing patient conditions over a predetermined period of time, such as over 24 hours.
As shown in fig. 13, a logo a of the physiological structure is also displayed in the display area in which the summary information of the physiological structure is displayed. The identifier a is used for uniquely identifying the physiological structure, and may be a schematic diagram of the physiological structure.
The mark a may correspond to the summary of the illness state, and the display modes of the mark a corresponding to the summary of the illness state and the non-illness state are different, for example, the summary of different illness states corresponds to the mark a with different sizes, colors, brightness and the like. The medical care can quickly know the summary of the illness state through the display mode of the mark A. Specifically, the image element of the mark A corresponds to the summary of the illness state, and the summary of the illness state are different. Image elements. The image elements are the basic components that make up the logo a, such as one or more of color, shape, background, shading. If the disease condition changes to blue, the disease condition does not change to red.
The mark A can also correspond to the summary of the physiological structure states, and the display modes of the mark A corresponding to the two overall states of stable physiological structure and unstable physiological structure are different. The medical care can know the summary of the physiological structure state through the display mode of the mark A, and the method is fast and convenient. Specifically, the image element of the mark a may correspond to the summary of the physiological structure states, and the two overall states of physiological structure stability and physiological structure instability correspond to different image elements. For example, blue for stable physiological structure and red for unstable physiological structure.
According to the cognition of clinical medical staff on the whole patient and each physiological structure, the medical data of the patient are structured and presented to the medical staff in a panoramic mode on the basis of the integration of the physiological structures from the whole patient condition to the cognition habit of each physiological structure, and a clinical diagnosis and treatment tool (summarized information) for rapidly evaluating the patient is provided for the medical staff.
In one embodiment, as shown in FIGS. 5-13, the human body is divided into 7 physiological structures according to the principle of the human body pyramid, namely, nervous system, circulatory system, respiratory system, liver and kidney functions, gastrointestinal tract and nutrition, infection and immunity, and coagulation. In the review interface, corresponding display areas can be displayed when the physiological structures acquire the medical data, or 7 display areas can be displayed, the display areas of the physiological structures acquiring the medical data display simplified medical data and summary information, and the display areas of the physiological structures not acquiring the medical data do not display simplified medical data and summary information.
The simplified medical data displayed from each display area is objective data, and the current state of each physiological structure and the disease progression process can be known through the objective data, only by the medical care device according to certain experience and professional knowledge.
As shown in fig. 6, the nervous system display area includes an identification ① (denoted by a in fig. 13), an objective evaluation field ②, a treatment measure field ③, a care operation field ④, a treatment target field ⑤, a summary information field ⑥, and a setting field ⑦.②-⑤ for displaying simplified medical data, and a summary information field ⑥ for displaying summary information.
The objective evaluation field ② may display physiological parameters, test indicators, medical scores, etc. related to physiological structures (nervous system).
The therapeutic measures field ③ may display therapeutic measures and diagnostic measures, such as related medications, may identify only the type of medication, without specific names and dosages (analgesics, sedatives, antiepileptics, dehydrates).
The care operations bar ④ may display care operations such as the name, amount, nature, color, etc. of the brain-related drainage lines.
The treatment goal field ⑤ may display statistics (e.g., standard rate, fluctuation range, frequency of occurrence of different values, etc.) of a doctor setting a treatment goal (e.g., a goal setting value) and a treatment goal achievement situation according to a patient situation. The treatment objective may be a threshold in the decision rule.
The setting column ⑦ is used for increasing or decreasing columns, so that personalized setting is performed on the display area.
As shown in fig. 7, the circulatory system display area includes an identification ①, an objective evaluation field ②, an ultrasonic examination result ③, a device parameter field ④ of the treatment device, a treatment measure field ⑤, a care operation field ⑥, a treatment target field ⑦, a summary information field ⑧, and a setting field ⑨.②-⑦ for displaying simplified medical data, and a summary information field ⑧ for displaying summary information.
The objective evaluation field ② may display physiological parameters, test indicators, medical scores, etc. related to the physiological structure (circulatory system).
The ultrasound examination results ③ may display circulatory-system-related ultrasound examination results.
The device parameters field ④ of the treatment device may display device parameters of the treatment device, such as ECMO values, specifically, rotational speed, blood flow, anterior/posterior pressure, etc.
The therapeutic measures field ⑤ may display therapeutic measures and diagnostic measures, for example, 1, related medication, only identification of medication type, no need of specific medication name and dosage (vasoactive drugs, cardiac insufficiency treatment drugs, antiarrhythmic drugs, anticholinergic drugs), 2, modes of therapeutic equipment, such as ECMO & ECMO mode, IABP, PICCO, pacemaker & pacing mode, etc., 3, specific therapeutic measures, such as synchronous electrical cardioversion, fluid resuscitation, etc.
The nursing operation bar ⑥ may display nursing operations such as related posture changes, head of bed too low, etc.
The treatment goal field ⑦ may display statistics (e.g., standard rate, fluctuation range, frequency of occurrence of different values, etc.) of a doctor setting a treatment goal (e.g., a goal setting value) and a treatment goal achievement situation according to a patient situation. The treatment objective may be a threshold in the decision rule.
The setting column ⑨ is used for increasing or decreasing columns, so that personalized setting is performed on the display area.
As shown in fig. 8, the respiratory system display area includes an identification ①, an objective evaluation field ②, a treatment measure field ③, a care operation field ④, a treatment target field ⑤, a summary information field ⑥, and a setting field ⑦.②-⑤ for displaying simplified medical data, and a summary information field ⑥ for displaying summary information.
If the patient is diagnosed with ARDS (acute respiratory distress syndrome), the ARDS may be labeled near identifier ① or on identifier ①.
The objective evaluation field ② may display physiological parameters, test indicators, medical scores, etc. related to physiological structures (respiratory systems).
The treatment column ③ may display treatment and diagnostic measures such as 1, treatment device: ventilator mode & inhaled oxygen concentration, cannula/mask, 2, autogenous, 3, chest physical treatment: bronchofiberscope, manual/assisted sputum excretion, etc.
The nursing operation column ④ can display nursing operations such as 1, the name of related drainage pipelines, drainage quantity, properties, colors, 2, related body position changes, head of a bed is too low, and the like.
The treatment goal field ⑤ may display statistics (e.g., standard rate, fluctuation range, frequency of occurrence of different values, etc.) of a doctor setting a treatment goal (e.g., a goal setting value) and a treatment goal achievement situation according to a patient situation. The treatment objective may be a threshold in the decision rule.
The setting column ⑦ is used for increasing or decreasing columns, so that personalized setting is performed on the display area.
As shown in fig. 9, the liver and kidney function display area includes an identification ①, a treatment measure field ②, a kidney function field ③, a liver function field ④, a setting field ⑤, and a summary information field ⑥.②-④ for displaying simplified medical data, and a summary information field ⑥ for displaying summary information.
If the patient is diagnosed with AKI (acute kidney injury), the patient may be labeled with AKI near identifier ① or on identifier ①.
The therapeutic measures column ② may display therapeutic measures and diagnostic measures, such as 1, therapeutic equipment: CRRT and duration of use, 2, medication: diuretic, etc.
The kidney function column ③ may display test indicators such as1, fluid balance, 24 hours urine volume, 24 hours CRRT ultrafiltration volume, 24 hours total balance, 2, kidney function test indicators, etc.
Liver function field ④ may display a test index, such as, for example, a1, child-Pugh score, 2, functional test index, etc.
The setting column ⑤ is used for increasing or decreasing columns, so that personalized setting is performed on the display area.
As shown in fig. 10, the gastrointestinal tract and nutrition display area includes an identification a, a weight field ①, a nutrition field ②, a treatment target field ③, an image data field ④, a care operation field ⑤, a summary information field ⑥, and a setting field ⑦.①-⑤ for displaying simplified medical data, and a summary information field ⑥ for displaying summary information.
The weight column ① may display personal information of the patient, weight.
The nutrition bar ② may display diagnostic operations such as an order, for example, on-site nutrition + total off-site nutrition over 24 hours, etc.
The treatment goal field ③ may display statistics (e.g., standard rate, fluctuation range, frequency of occurrence of different values, etc.) of a doctor setting a treatment goal (e.g., a goal setting value) and a treatment goal achievement situation according to a patient situation. The treatment target can be a thermal card target and can be calculated according to the nutrient solution prescribed by the doctor's advice. The actual heat card may also be displayed and may be calculated based on the nutrient pumping capacity. Standard rate = actual heat card/order heat card%.
The image data field ④ may display image data such as measurement results of an ultrasonic image, e.g., gastric residual quantity (ultrasound), intestinal tract: large/small intestine diameter (ultrasound), etc.
The care operations bar ⑤ may display care operations, such as stomach out XXml, from the last record of care.
The setting column ⑦ is used for increasing or decreasing columns, so that personalized setting is performed on the display area.
As shown in fig. 11, the coagulation display area includes an identification a, a treatment measure field ①, an objective evaluation field ②, a care operation field ③, a summary information field ④, and a setting field ⑤.②-③ for displaying simplified medical data, and a summary information field ④ for displaying summary information.
The therapeutic measures field ① may display therapeutic measures and diagnostic measures such as 1, administration of drugs, anticoagulants, antiplatelet drugs, 2, transfusion platelets, transfusion of red blood cells, etc.
The objective evaluation column ② may display test indicators related to physiological structure (clotting), such as APTT (activated partial thromboplastin time), TT (thrombin time), PLT (platelet count), and the like.
The care operations bar ③ may display care operations such as various post-operative wound treatments and conditions, and the like.
The setting column ⑤ is used for increasing or decreasing columns, so that personalized setting is performed on the display area.
As shown in fig. 12, the infection and immunity display area includes an identification ①, a treatment measure field ②, an objective evaluation field ③, an infection source field ④, a care operation field ⑤, a summary information field ⑥, and a setting field ⑦.②-⑤ for displaying simplified medical data, and a summary information field ⑥ for displaying summary information.
If the patient has confirmed sepsis, the sepsis may be tagged near identifier ① or on identifier ①.
The treatment column ② may display treatment and diagnostic measures, such as 1, medication: antibiotics (extracted from orders), etc.
Objective evaluation column ③ may display physiological parameters, medical scores, test indicators, etc., related to physiological structure (infection and immunity), such as body temperature, delta SOFA (compare last two SOFA scores), test values: PCT, CRP, etc.
The infection source field ④ may display the source of infection, such as viruses, bacteria, etc., and may extract the results based on the test report.
The nursing operation bar ⑤ can display nursing operations such as all the conditions of the pipeline infection and the characteristics of secretion, color, liquid amount and the like.
The setting field ⑦ is used to increase or decrease the columns, so that the display area is personalized, for example, a column can be added to display infection, for example, infection of HIV, hepatitis b, syphilis, etc. (can be extracted from NGS report).
In some embodiments, the treatment in a healthcare operation may be focused on, as there are many cases where interventions (treatments) are to be performed on the patient. Accordingly, the process of displaying the medical data correspondingly may be as shown in fig. 14, and includes the following steps:
Step 4', processor 50 obtains the first type of medical data of the patient from the first type of medical data source device and the second type of medical data of the patient from the second type of medical data source device via communication module 70. The first medical data source device comprises at least one of monitoring equipment, treatment equipment, imaging equipment and in-vitro diagnosis equipment, and the first medical data source device comprises at least two of the four devices. The second type of medical data source device comprises a treatment device, the first type of medical data reflecting the physiological condition of the patient, the second type of medical data reflecting the treatment measures taken by the patient. Similarly, the acquired first type of medical data may be first type of medical data of a patient for a preset period of time, and the acquired second type of medical data may be second type of medical data of the patient for the preset period of time. The second type of medical data source device may be identical to the third type of medical data source device, except that the second type of medical data that is primarily obtained by the processor 50 from the second type of medical data source device is less comprehensive than the third type of medical data, is primarily focused on the treatment data, and reflects the treatment measures that the patient receives. Other aspects of this step are the same as the aforementioned step 1 except for this difference, and are not described here.
Step 5', processor 50 obtains summary information of one or more physiological structures of the patient based on the first type of medical data and the second type of medical data of the patient. The summary information of the physiological structure comprises a conclusion of the overall situation of the physiological structure, details of the treatment measures related to the physiological structure and details of the treatment measures based on the second type of medical data and/or details of the changes thereof based on the first type of medical data. The overall situation conclusion includes a summary of the physiological structural state, a summary of the therapeutic measures based on the details of the therapeutic measures and a summary of the condition based on the physiological data and/or the changing details thereof. Also, the present embodiment is described taking details of the treatment measures as an example of the details of the change of the treatment measures. The overall condition conclusion of the physiological structure may also include a preset time period. It can be seen that this embodiment is more specific than the embodiment shown in fig. 4, with summary information showing three summaries + two detailed interpretations being presented to the healthcare facility.
Likewise, a summary of therapeutic measures and a summary of conditions are used to support a summary of physiological structural states from two different clinical dimensions. Summary of physiological structural states may include both physiological structural stability and instability.
Likewise, details of the physiological structure-related therapeutic measures are used to support corresponding summaries of the therapeutic measures from the clinical dimension. Physiological data related to physiological structure and/or its changing details are used to support corresponding summaries of conditions from the clinical dimension.
It can be seen that the present step is basically obtained by changing the "medical care operation" in the step 5 to the "therapeutic measure" and the "third type medical data" to the "second type medical data".
Similarly, there are two ways of processing to get a summary of the physiological structural state.
For example, the processor 50 analyzes the first type of medical data of the patient to obtain a summary of the condition, analyzes the second type of medical data of the patient to obtain a summary of the treatment, and analyzes the two clinical dimensions of the summary of the condition and the summary of the treatment to obtain a summary of the physiological structural state.
For another example, the processor 50 inputs the first and second types of medical data of the patient into a pre-trained model to obtain summary information of one or more physiological structures of the patient output by the model.
The specific process of these processing modes is the same as that of the aforementioned step 5, and only the third type of medical data in the step 5 is required to be changed into the second type of medical data, and the medical care operation is embodied into a therapeutic measure, which is not described herein.
There are also two treatments to get a summary of the treatment.
For example, the processor 50 analyzes the second type of medical data of the patient to obtain details of the physiological structure-related treatment measures of the one or more physiological structures of the patient, and analyzes the details of the physiological structure-related treatment measures to obtain a summary of the treatment measures.
For another example, the processor 50 inputs the second type of medical data of the patient into a pre-trained model, resulting in details of the physiological structure-related treatment measures of the one or more physiological structures of the patient and a summary of the treatment measures output by the model.
Wherein, in the summary information of the displayed physiological structure, the summary of the treatment measures is one of five kinds of treatment measures which do not occur, the treatment measures have no change, the treatment measures are adjusted, the treatment measures are upgraded and the treatment measures are downgraded.
It can be seen that the specific processes of the two processing manners are the same as those of step 5 except that the third type of medical data is different from the second type of medical data, the medical care operation is different from the treatment measure, and the summary of the treatment measure is less than the summary of the medical care operation, which are not described in detail herein.
In this embodiment, the physiological data related to the physiological structure and/or the details of the changes and the summary of the disease conditions are the same as those of the previous embodiment, so the processing manner is the same, and will not be described here.
Step 6', processor 50 correspondingly displays summary information of one or more physiological structures in one or more display areas of a display interface of display 60. For example, the overall situation conclusion of the physiological structure, the details of the treatment measures related to the physiological structure and the physiological data related to the physiological structure and/or the change details thereof may be displayed in association, wherein the overall situation conclusion of the physiological structure may be displayed before and the details of the treatment measures related to the physiological structure and the physiological data related to the physiological structure and/or the change details thereof may be displayed after. The overall situation conclusion of the physiological structure may be a text message.
Similarly, the processor 50 may reduce the first type of medical data and/or the second type of medical data to obtain one or more reduced medical data of the physiological structure, and further display the reduced medical data of the physiological structure in the display area in which the summary information of the physiological structure is displayed. Of course, such reduced medical data may also be reduced from the first type of medical data and/or the third type of medical data.
Similarly, this step is substantially the same as step 6 except for differences in the type of medical data (third and second types), medical procedures and treatment measures, and will not be described in detail herein.
It can be seen that this embodiment is further defined for the embodiment shown in fig. 3, where the third type of medical data is defined as the second type of medical data, the medical care operation is defined as the therapeutic measure, and other technical details are the same as those of the embodiment shown in fig. 3, and are not described herein.
The second medical data required to be acquired by the review interface is only a little longer than the first medical data required to be acquired by the monitoring interface, so that the evaluation information corresponding to the physiological structure can be displayed in each display area of the review interface, and the medical care can see the review summary of the past period and the current evaluation conclusion. The review interface and the monitoring interface may also be switched by instructions. For example, the user may issue a review instruction that triggers the system to execute the procedure shown in fig. 3 or 14, thereby displaying a patient review interface. Of course, the user may also issue a monitoring instruction, or select a display area on the review interface, so as to trigger the system to execute the flow shown in fig. 2, so as to jump the display interface to the monitoring interface. Therefore, the medical care can well realize the monitoring of patients, and the working efficiency is high. In some embodiments of the present invention, the same healthcare/other user can log into one or more of the above systems simultaneously. A healthcare/other user using a single system can also switch between systems of different embodiments and maintain data in the system.
Reference is made to various exemplary embodiments herein. However, those skilled in the art will recognize that changes and modifications may be made to the exemplary embodiments without departing from the scope herein. For example, the various operational steps and components used to perform the operational steps may be implemented in different ways (e.g., one or more steps may be deleted, modified, or combined into other steps) depending on the particular application or taking into account any number of cost functions associated with the operation of the system.
Additionally, as will be appreciated by one of skill in the art, the principles herein may be reflected in a computer program product on a computer readable storage medium preloaded with computer readable program code. Any tangible, non-transitory computer readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, blu-Ray disks, etc.), flash memory, and/or the like. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including means which implement the function specified. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified.
While the principles herein have been shown in various embodiments, many modifications of structure, arrangement, proportions, elements, materials, and components, which are particularly adapted to specific environments and operative requirements, may be used without departing from the principles and scope of the present disclosure. The above modifications and other changes or modifications are intended to be included within the scope of this document.
The foregoing detailed description has been described with reference to various embodiments. However, those skilled in the art will recognize that various modifications and changes may be made without departing from the scope of the present disclosure. Accordingly, the present disclosure is to be considered as illustrative and not restrictive in character, and all such modifications are intended to be included within the scope thereof. Also, advantages, other advantages, and solutions to problems have been described above with regard to various embodiments. The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, system, article, or apparatus. Furthermore, the term "couple" and any other variants thereof are used herein to refer to physical connections, electrical connections, magnetic connections, optical connections, communication connections, functional connections, and/or any other connection.
Those skilled in the art will recognize that many changes may be made to the details of the above-described embodiments without departing from the underlying principles of the invention. Accordingly, the scope of the invention should be determined from the following claims.

Claims (17)

1. A method of displaying medical data, comprising:
Acquiring medical data of a patient from a medical data source device, wherein the medical data source device comprises at least one of a monitoring device, a treatment device, an imaging device and an in-vitro diagnostic device, the medical data of the patient comprises the monitoring data from the monitoring device when the medical data source device comprises the monitoring device, the medical data of the patient comprises the treatment data from the treatment device when the medical data source device comprises the treatment device, the medical data of the patient comprises the imaging data from the imaging device when the medical data source device comprises the imaging device, and the medical data of the patient comprises the detection data from the in-vitro diagnostic device when the medical data source device comprises the in-vitro diagnostic device;
Obtaining evaluation information of a physiological structure of the patient based on medical data of the patient, the physiological structure including at least one of a physiological system of the patient, a feature of the physiological system, an organ, and a feature of the organ, the evaluation information including a conclusion of a specific angle and medical data information for supporting the conclusion of the specific angle from a clinical dimension, the medical data information being obtained based on medical data of the patient, wherein the evaluation information includes at least first evaluation information in which the conclusion of the specific angle is a medical measure suggestion and the medical data information is medical data information for supporting the medical measure suggestion from the clinical dimension, and
And displaying the evaluation information of the physiological structure on a display interface.
2. The method of claim 1, wherein the assessment information for the physiological structure further comprises at least one of a second assessment information, a third assessment information, and a fourth assessment information, wherein in the second assessment information, the conclusion of the particular angle is a stability conclusion for reflecting a stability condition of the physiological structure and the medical data information is medical data information for supporting the stability conclusion from a clinical dimension, wherein in the third assessment information, the conclusion of the particular angle is a risk pre-warning conclusion and the medical data information is medical data information for supporting the risk pre-warning conclusion from a clinical dimension, and wherein in the fourth assessment information, the conclusion of the particular angle is a diagnosis conclusion and the medical data information is medical data information for supporting the diagnosis conclusion from a clinical dimension.
3. The method according to claim 1 or 2, wherein the medical data information in the first evaluation information includes a relationship between at least two key condition indicators and corresponding thresholds, and/or a trend of at least one key condition indicator, and the key condition indicators are extracted from the medical data or processed from the medical data.
4. The method of claim 1, wherein the countermeasure proposal includes one of prompt information for proposal of implementation of a countermeasure and no specific countermeasure is given, prompt information for proposal of implementation of a countermeasure and giving of a specific countermeasure, and prompt information for proposal of stopping of a current countermeasure.
5. The method of claim 1, wherein the medical data source device further comprises a third party system, and wherein when the medical data source device comprises the third party system, the medical data of the patient comprises personal data and/or clinical data of the patient derived from the third party system.
6. The method of claim 1, wherein the medical measure proposal is a text message.
7. The method of any of claims 1-6, wherein the obtaining the assessment information of the patient's physiological structure based on the patient's medical data comprises:
analyzing the medical data of the patient to determine one or more targeting rules satisfied by the medical data, determining assessment information of a physiological structure corresponding to the one or more targeting rules, the medical data information in the determined assessment information including at least the one or more targeting rules, or
And inputting the medical data of the patient into a pre-trained model to obtain the evaluation information of the physiological structure of the patient output by the model.
8. The method of claim 2, wherein the deriving the assessment information of the patient's physiological structure based on the patient's medical data comprises:
Obtaining at least one of first, third and fourth assessment information of a physiological structure of the patient based on the medical data of the patient;
And analyzing at least one of the first evaluation information, the third evaluation information and the fourth evaluation information to obtain second evaluation information.
9. The method of claim 1, wherein displaying the assessment information of the physiological structure on a display interface comprises:
and displaying the evaluation information of the physiological structure of the patient on a monitoring interface of the physiological structure of the patient.
10. The method as recited in claim 9, further comprising:
The medical data of the patient is reduced to obtain reduced medical data of the physiological structure of the patient, wherein the reduced medical data of the physiological structure comprises a plurality of physiological parameters related to the physiological structure, inspection indexes related to the physiological structure, scores related to the physiological structure, diagnosis and treatment measures related to the physiological structure, equipment parameters of treatment equipment and statistical data of treatment target achievement conditions;
The reduced medical data of the physiological structure is also displayed at a monitoring interface of the physiological structure of the patient.
11. The method as claimed in claim 1, comprising:
before the display interface displays the assessment information of the physiological structure, the method further comprises:
Acquiring first type medical data of a preset time period of a patient from first type medical data source equipment, and acquiring second type medical data of the preset time period of the patient from second type medical data source equipment, wherein the first type medical data reflects the physiological condition of the patient, and the second type medical data reflects the treatment measures accepted by the patient;
Obtaining summary information of one or more physiological structures of the patient based on the first type of medical data and the second type of medical data of the patient, wherein the summary information of the physiological structures comprises a summary of the physiological structure states, a summary of treatment measures based on the change details of the treatment measures and a summary of illness states based on the physiological data and/or the change details thereof;
Correspondingly displaying summary information of one or more physiological structures in a plurality of display areas of a display interface;
The display area may be selected, and displaying the evaluation information of the physiological structure on a display interface includes:
and receiving an instruction for selecting one display area, responding to the instruction, jumping the current display interface to a monitoring interface of a physiological structure displayed in the selected display area, and displaying evaluation information of the physiological structure on the monitoring interface of the physiological structure.
12. The method of claim 11, wherein the summary of therapeutic measures and the summary of conditions are used to support the summary of physiological structural states from two different clinical dimensions, including both physiological structural stability and instability.
13. The method of claim 2, wherein the display interface displays an identification of the physiological structure;
The marks correspond to the stability conclusion, the display modes of the marks corresponding to the stability conclusion of the physiological structure stability and the physiological structure instability are different, or
The identification corresponds to the risk early warning conclusion, and the display modes of the identification corresponding to the risk early warning conclusion and the identification corresponding to the risk early warning conclusion are different.
14. The method of claim 1, wherein the physiological system comprises at least one of the motor system, the nervous system, the endocrine system, the circulatory system, the respiratory system, the digestive system, the urinary system, and the reproductive system, the organ comprises at least one of the brain, the heart, the lung, the liver, the stomach, and the kidney, and the characteristic of the physiological system or the characteristic of the physiological organ comprises blood coagulation, nutrition, infection, or blood glucose.
15. A method of displaying medical data, comprising:
Acquiring medical data of a patient from a medical data source device, wherein the medical data source device comprises at least two of a monitoring device, a treatment device, an imaging device and an in-vitro diagnostic device, the medical data of the patient comprises the monitoring data from the monitoring device when the medical data source device comprises the monitoring device, the medical data of the patient comprises the treatment data from the treatment device when the medical data source device comprises the treatment device, the medical data of the patient comprises the imaging data from the imaging device when the medical data source device comprises the imaging device, and the medical data of the patient comprises the detection data from the in-vitro diagnostic device when the medical data source device comprises the in-vitro diagnostic device;
Obtaining at least one of first, second, third and fourth assessment information of a physiological structure of the patient based on the medical data of the patient, the physiological structure including a physiological system, an organ of the patient, a feature of the physiological system, or a feature of the organ, wherein the first assessment information includes a medical measure recommendation and first medical data information for supporting the medical measure recommendation from a clinical dimension, the second assessment information includes a stability conclusion for reflecting a stability condition of the physiological structure and second medical data information for supporting the stability conclusion from the clinical dimension, the third assessment information includes a diagnosis conclusion and third medical data information for supporting the diagnosis conclusion from the clinical dimension, the fourth assessment information includes a risk pre-warning conclusion and fourth medical data information for supporting the risk pre-warning conclusion from the clinical dimension;
and displaying at least one of the obtained first evaluation information, second evaluation information, third evaluation information and fourth evaluation information of the physiological structure of the patient on a display interface.
16. A medical data processing system, comprising:
A display;
One or more communication interfaces for communicating with one or more medical data source devices;
a memory for storing a program;
a processor for executing the program to implement the method of any one of claims 1-15.
17. A computer readable storage medium, characterized in that the medium has stored thereon a program executable by a processor to implement the method of any of claims 1-15.
CN202510903689.7A 2024-06-30 2025-06-30 A method for displaying and processing medical data Pending CN121237364A (en)

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