CN114093473B - An ophthalmic surgery patient management system - Google Patents

Abstract

The present invention discloses an ophthalmic surgery patient management system, including an information collection terminal, an operation plan generation terminal, a personnel allocation terminal and an item allocation terminal, by generating optimal parameter sets corresponding to multiple operation plans, matching the collected preoperative examination data of the first patient with the optimal parameter sets corresponding to multiple different ophthalmic operation plans, and generating a first ophthalmic operation plan for the first patient, and at the same time, the first ophthalmic operation plan to be generated is graded, and a corresponding number of medical staff are reasonably allocated, and the nursing staff are responsible for the corresponding medical equipment and drugs. Compared with the prior art, the present invention allocates nursing staff according to the difficulty level of the patient's operation plan, realizes the rational use of personnel, improves work efficiency, and reduces safety hazards.

Description

An ophthalmic surgery patient management system

Technical Field

The present invention relates to the technical field of medical systems, and in particular to an ophthalmic surgery patient management system.

Background Art

With the improvement of medical level and the development of science and technology, surgical treatment has become the preferred treatment for many diseases. Taking ophthalmology as an example, the ophthalmic medical market includes three major sectors: eye disease diagnosis and treatment, laser myopia surgery and medical optometry. 70% of them can be treated by surgery, but for different ophthalmic diseases, the difficulty of surgical treatment is different. The level of nursing staff can directly or indirectly help doctors perform better operations and improve efficiency. However, the current level of nursing staff is uneven. Directly configuring nursing staff according to the schedule is not conducive to improving surgical efficiency.

Currently, the demand for ophthalmic surgery is high, the number of patients is large, and most ophthalmic surgeries are performed under local anesthesia. The operation time is short, which leads to a high turnover of surgical patients in a short period of time. Replacing medical equipment and drugs in a short period of time can easily cause confusion of medical equipment and drugs during surgery. In order to ensure safety, it takes a lot of time to verify, which affects efficiency.

Summary of the invention

The technical problem to be solved by the present invention is to provide an ophthalmic surgery patient management system, which realizes the rational use of personnel, improves efficiency and reduces safety hazards by configuring different nursing staff according to the difficulty level of the patient's surgical plan.

In order to solve the above technical problems, the present invention provides an ophthalmic surgery patient management system, including: an information collection end, a surgery plan generation end, a personnel allocation end and an item allocation end, specifically:

The information collection terminal is used to collect nursing staff information and first patient information, wherein the first patient information includes preoperative examination data;

The proposed surgical plan generating terminal is used to generate multiple training data sets according to historical preoperative examination data of patients corresponding to multiple ophthalmic surgical plans, process the multiple training data sets to generate optimal parameter sets corresponding to the multiple ophthalmic surgical plans, and obtain an ophthalmic surgical plan corresponding to the first patient as a first ophthalmic surgical plan to be generated according to a data matching rate between the first patient information and the optimal parameter sets corresponding to the multiple ophthalmic surgical plans, and then classify the difficulty level of the first ophthalmic surgical plan;

The personnel allocation terminal is used to classify the collected nursing staff information and allocate nursing staff of corresponding levels according to the difficulty level of the first ophthalmic surgery plan;

The item distribution end is used to distribute the medical instruments and drugs corresponding to the first ophthalmic surgery plan to the nursing staff corresponding to the first ophthalmic surgery plan.

Furthermore, the surgical plan generation terminal includes an acquisition module, an optimal parameter generation module and a matching module, specifically:

The acquisition module is used to acquire historical preoperative examination data of a large number of ophthalmic patients corresponding to multiple ophthalmic surgical plans, and generate multiple training data sets corresponding to the multiple ophthalmic surgical plans;

The optimal parameter generation module is used to classify the multiple training data sets according to the single preoperative examination items of a single ophthalmic surgery plan among the multiple ophthalmic surgery plans, obtain the optimal parameters of the single preoperative examination items of the single ophthalmic surgery plan under the classification, generate an optimal parameter set for a single ophthalmic surgery plan, traverse the multiple ophthalmic surgery plans, and generate multiple optimal parameter sets corresponding to the multiple ophthalmic surgery plans. The matching module is used to match the collected preoperative examination item data of the first patient with the optimal parameter sets corresponding to the multiple ophthalmic surgery plans, and obtain the ophthalmic surgery plan corresponding to the highest data matching rate as the first ophthalmic surgery plan to be generated for the first patient.

Furthermore, the surgical plan generation terminal also includes a label formulation module and a level difficulty classification module, specifically:

The label formulation module is used to formulate a label set for the multiple ophthalmic surgery plans, the label set including: technical difficulty, complexity and risk, and each label in the label set includes four levels;

The level difficulty classification module is used to combine the labels by level, classify different difficulty levels according to different label combinations, and simultaneously obtain and obtain the level difficulty of the first ophthalmic surgery plan based on the label combination of the first ophthalmic surgery plan, wherein the difficulty level includes a first difficulty level, a second difficulty level, a third difficulty level and a fourth difficulty level.

Furthermore, the information collection terminal includes a nursing staff information collection module and a patient information collection module, specifically:

The nursing staff information collection module is used to collect the work information of all nursing staff in the hospital, wherein the work information includes: years of employment, number of operating room accompanying times, and shift schedule; based on the years of employment and the number of operating room accompanying times, all nursing staff are divided into grades, including first grade, second grade, third grade, and fourth grade;

The patient information collection module is used to collect the first patient information, wherein the first patient information includes: demographic information and preoperative examination information.

Furthermore, the personnel allocation end includes a nursing personnel allocation module, specifically:

The nursing staff allocation module is used to allocate nursing staff of corresponding levels according to the difficulty level of the first ophthalmic surgery plan, and to allocate corresponding numbers of nursing staff according to the first ophthalmic surgery plans of different difficulty levels, wherein the difficulty level of the first ophthalmic surgery plan is proportional to the number of nursing staff.

Furthermore, the item distribution end includes an item distribution module, specifically:

The item allocation module is used to obtain the ophthalmic surgical medical equipment and medicines corresponding to the first ophthalmic surgical plan, and at the same time obtain a list of medical staff with a corresponding number allocated according to the first ophthalmic surgical plan of different difficulty levels, so that the medical staff in the list of medical staff are responsible for different medical equipment and medicines.

Compared with the prior art, the ophthalmic surgery patient management system of the present invention has the following beneficial effects:

The ophthalmic surgery patient management system includes: an information collection end, an operation plan generation end, a personnel allocation end and an item allocation end. By generating optimal parameter sets corresponding to multiple operation plans, matching the collected preoperative examination data of the first patient with the optimal parameter sets corresponding to the multiple operation plans, and generating the first ophthalmic surgery plan to be generated for the first patient, the workload of the doctor can be further reduced, and the efficiency can be improved under the condition of heavy workload. At the same time, the first ophthalmic surgery plan to be generated is graded, and the corresponding nursing staff is reasonably allocated, and the nursing staff is responsible for the corresponding medical equipment and drugs, so as to ensure the accuracy of the configuration of medical equipment and drugs and reduce safety hazards. Compared with the prior art, the present invention allocates nursing staff according to the difficulty level of the patient's operation plan, realizes the rational use of personnel, improves efficiency and reduces safety hazards.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic structural diagram of an embodiment of an ophthalmic surgery patient management system provided by the present invention;

FIG2 is a schematic diagram of the structure of an information collection terminal of an embodiment of an ophthalmic surgery patient management system provided by the present invention;

3 is a schematic diagram of the structure of a surgical plan generation end of an embodiment of an ophthalmic surgery patient management system provided by the present invention;

FIG4 is a schematic diagram of the structure of a personnel allocation end of an embodiment of an ophthalmic surgery patient management system provided by the present invention;

FIG. 5 is a schematic structural diagram of an item distribution end of an embodiment of an ophthalmic surgery patient management system provided by the present invention.

DETAILED DESCRIPTION

The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

Example 1

Referring to FIG. 1 , FIG. 1 is a flow chart of an embodiment of an ophthalmic surgery patient management system provided by the present invention. As shown in FIG. 1 , the system includes an information collection terminal 101, a surgery plan generation terminal 102, a personnel allocation terminal 103, and an item allocation terminal 104, as follows:

The information collection terminal 101 is used to collect nursing staff information and first patient information, wherein the first patient information includes preoperative examination data.

In this embodiment, the information collection terminal 101 includes a nursing staff information collection module 1011 and a patient information collection module 1012, as shown in FIG. 2 .

In this embodiment, the nursing staff information collection module 1011 is used to collect the work information of all nursing staff in the hospital, wherein the work information includes: years of employment, number of operating room accompaniment, and shift schedule; the information of all nursing staff in the hospital can be obtained based on the personal information collected when the nursing staff joins the job, and the entry information corresponding to all nursing staff is entered into the ophthalmic surgery patient management system, wherein the entry information includes but is not limited to the graduation year of the nursing staff. As an example in this embodiment, the ophthalmic surgery patient management system extracts the graduation year in the personal information of the nursing staff, calculates the difference between the graduation year and the current year, obtains the years of employment of the nursing staff, and generates a set of years of employment corresponding to all nursing staff; at the same time, for the statistics of the number of operating room accompaniment of the nursing staff, the ophthalmic surgery patient management system will perform statistics according to the shift schedule of the nursing staff, which includes but is not limited to working hours, work content and leave information, and updates the number of operating room accompaniment of the nursing staff according to the preset time, wherein the preset time can be one week or one month, which can be adjusted according to the needs of the hospital.

In this embodiment, the ophthalmic surgery patient management system automatically classifies all nursing staff into grades according to their years of experience and the number of surgical accompaniment. The grades of nursing staff include first grade, second grade, third grade and fourth grade. As a preferred solution in this embodiment, the level of nursing staff whose years of employment are less than the first year threshold and whose number of surgical accompanying times is less than the first preset number threshold is classified as the first level; the level of nursing staff whose years of employment are greater than the first year threshold and less than or equal to the second year threshold and whose number of surgical accompanying times is greater than the first preset number and less than or equal to the second preset number threshold is classified as the second level; the level of nursing staff whose years of employment are greater than the second year threshold and whose number of surgical accompanying times is greater than the second preset number threshold is classified as the third level; the level of nursing staff whose years of employment are greater than the third year threshold and whose number of surgical accompanying times is greater than the third preset number threshold is classified as the fourth level, wherein the setting of the first year threshold, the second year threshold, the first year threshold, the second preset number threshold, the third preset number threshold and the third preset number threshold is mainly set according to the requirements of the hospital, such as the level of nursing staff whose years of employment are less than one year and whose number of surgical accompanying times is less than 20 times is classified as the first level. Similarly, the level assessment of nursing staff is updated according to the preset time, and the update time can be in months or years.

In this embodiment, after all nursing staff are automatically graded, the ophthalmic surgery patient management system automatically generates a nursing staff grade list table based on the graded results, wherein the nursing staff grade list table includes a first-grade nursing staff list table, a second-grade nursing staff list table, a third-grade nursing staff list table, and a fourth-grade nursing staff list table.

In this embodiment, the patient information collection module 1012 is used to collect the first patient information, wherein the first patient information includes: demographic information and preoperative examination information. When the first patient is admitted to the hospital, the demographic information of the first patient is collected according to the normal admission process, and the collected demographic information of the first patient is registered in the ophthalmic surgery patient management system, wherein the demographic information of the first patient includes age, gender, history of drug allergies, occupation, and past ophthalmic history. At the same time, according to the type of ophthalmic surgery scheduled by the first patient, the preoperative ophthalmic examination data of the first patient after admission is obtained. As an example in this embodiment, if the first patient makes an appointment for myopia surgery, the preoperative ophthalmic examination data includes but is not limited to vision examination and optometry examination, to understand the accurate myopia and astigmatism of the first patient, and also includes checking the corneal topography of the first patient to determine the thickness of the cornea, corneal curvature and other indicators of the eye.

The surgical plan generation terminal 102 is used to generate multiple training data sets based on the historical preoperative examination data of patients corresponding to multiple ophthalmic surgical plans, process the multiple training data sets to generate optimal parameter sets corresponding to the multiple ophthalmic surgical plans, and obtain the ophthalmic surgical plan corresponding to the first patient as the first ophthalmic surgical plan to be generated based on the data matching rate between the first patient information and the optimal parameter sets corresponding to the multiple ophthalmic surgical plans, and then classify the difficulty level of the first ophthalmic surgical plan.

In this embodiment, the surgical plan generation terminal 102 includes an acquisition module 1021, an optimal parameter generation module 1022 and a matching module 1023, as shown in FIG3. In this embodiment, the acquisition module 1021 is used to acquire historical preoperative examination data of a large number of ophthalmic patients corresponding to multiple ophthalmic surgical plans, and generate multiple training data sets corresponding to multiple ophthalmic surgical plans. According to the type of ophthalmic surgery scheduled by the first patient, multiple ophthalmic surgical plans corresponding to the ophthalmic surgical type stored in the ophthalmic surgical patient management system are acquired, and historical preoperative examination data of a large number of ophthalmic patients corresponding to multiple ophthalmic surgical plans are acquired, and the historical preoperative examination data of multiple ophthalmic patients corresponding to a single ophthalmic surgical plan are used as a training set to generate multiple training data sets corresponding to multiple ophthalmic surgical plans. As an example in this embodiment, when the type of ophthalmic surgery scheduled for the first patient is myopia ophthalmic surgery, multiple ophthalmic surgery plans for myopia ophthalmic surgery are obtained, such as the all-femtosecond ophthalmic surgery plan and the half-femtosecond ophthalmic surgery plan, and historical preoperative examination data of multiple patients with the all-femtosecond ophthalmic surgery plan in the ophthalmic surgery patient management system are obtained, and at the same time, historical preoperative examination data of multiple patients with the half-femtosecond ophthalmic surgery plan are obtained, and the historical preoperative examination data of multiple patients with the all-femtosecond ophthalmic surgery plan are integrated to form a training data set for the all-femtosecond ophthalmic surgery plan, and the historical preoperative examination data of multiple patients with the half-femtosecond ophthalmic surgery plan are integrated to form a training data set for the half-femtosecond ophthalmic surgery plan.

In this embodiment, the optimal parameter generation module 1022 is used to classify the multiple training data sets according to the single preoperative examination items of the single ophthalmic surgery scheme in the multiple ophthalmic surgery schemes, obtain the optimal parameters of the single preoperative examination items of the single ophthalmic surgery scheme under the classification, generate the optimal parameter set of the single ophthalmic surgery scheme, traverse the multiple ophthalmic surgery schemes, and generate multiple optimal parameter sets corresponding to the multiple ophthalmic surgery schemes. The single training data set corresponding to the single ophthalmic surgery scheme is used as the original development data set, and the multiple data corresponding to different ophthalmic preoperative examination items under the single training data set generated after the original development data set is classified and processed are used as the development data set of the pre-training algorithm model, and the development data set is averaged by support vector sets, random deep forests or artificial neural networks, and the mean of the multiple data of different ophthalmic preoperative examination items is used as the optimal parameter of the corresponding single ophthalmic preoperative examination item, and the optimal parameter sets corresponding to different ophthalmic preoperative examination items of the single ophthalmic surgery scheme are generated, and the multiple ophthalmic surgery schemes are traversed to generate multiple optimal parameter sets corresponding to the multiple optimal ophthalmic surgery schemes. As an example in this embodiment, the training data set corresponding to the all-femtosecond ophthalmic surgery plan in myopia ophthalmic surgery is classified according to individual ophthalmic preoperative examination items, such as classifying the training data set according to vision examination items, ophthalmology examination items and corneal topography examination items, and obtaining the preoperative examination data of multiple patients corresponding to the vision examination items, ophthalmology examination items and corneal topography examination items under the classification. The average value of the preoperative examination data of multiple patients corresponding to the vision examination items, ophthalmology examination items and corneal topography examination items is calculated through the pre-trained algorithm model as the optimal parameter corresponding to the vision examination items, ophthalmology examination items and corneal topography examination items, and the all-femtosecond ophthalmic surgery plan with an optimal parameter set containing multiple optimal parameters is generated.

In this embodiment, the pre-trained algorithm model is generated by artificial intelligence technology, which can further utilize the advantages of big data and computing power to continuously iterate and update the pre-selected algorithm model, solving the problem of the current limited variety of ophthalmic surgical options and improving the scope of application.

In this embodiment, the matching module 1023 is used to match the collected preoperative examination item data of the first patient with the optimal parameter sets corresponding to multiple ophthalmic surgery plans, and obtain the ophthalmic surgery plan corresponding to the highest data matching rate as the first ophthalmic surgery plan to be generated for the first patient. The ophthalmic surgery patient management system extracts the preoperative examination data of the first patient collected by the patient information collection module 1012 in the information collection terminal 101, and matches the extracted preoperative examination data of the first patient with the multiple optimal parameter sets corresponding to the multiple optimal ophthalmic surgery plans generated in the optimal parameter generation module 1022. The ophthalmic surgery patient management system generates multiple corresponding numerical curves from the optimal parameter sets corresponding to the multiple ophthalmic surgery plans, and similarly generates numerical curves from the extracted preoperative examination data of the first patient. Through system comparison, the data matching rate between the numerical curve corresponding to the first patient and the numerical curves corresponding to the multiple ophthalmic surgery plans is generated, and the ophthalmic surgery plan corresponding to the highest data matching rate is obtained as the first ophthalmic surgery plan to be generated for the first patient.

In this embodiment, the surgical plan generation terminal 102 further includes a label setting module 1024 and a level difficulty classification module 1025, as shown in FIG. 3 .

In this embodiment, the label formulation module 1024 is used to formulate a label set for the multiple ophthalmic surgical plans, and the label set includes: technical difficulty, complexity and risk. Each label in the label set contains four levels, among which the four levels corresponding to each label are low technical difficulty, general technical difficulty, high technical difficulty and high technical difficulty; simple surgical procedure, uncomplicated surgical procedure, relatively complex surgical procedure and complex surgical procedure; and low risk, medium risk, high risk and high risk.

In this embodiment, the level difficulty classification module 1025 is used to combine the labels by level, classify different difficulty levels according to different label combinations, and simultaneously obtain and obtain the level difficulty of the first ophthalmic surgery plan according to the label combination of the first ophthalmic surgery plan, wherein the difficulty level includes a first difficulty level, a second difficulty level, a third difficulty level, and a fourth difficulty level. As an example in this embodiment, the label combination corresponding to the first difficulty level is various surgeries with low technical difficulty, simple surgical procedures, and low risk; the label combination corresponding to the second difficulty level is various surgeries with general technical difficulty, uncomplicated surgical procedures, and medium risk; the label combination corresponding to the third difficulty level is various surgeries with high technical difficulty, complex surgical procedures, and high risk; the label combination corresponding to the fourth difficulty level is various surgeries with high technical difficulty, complex surgical procedures, and high risk.

In this embodiment, for the formulation of labels, an evaluation standard is formulated by experts for the technical difficulty, complexity and risk in the labels. In this embodiment, multiple ophthalmic surgery plans are segmented to generate a segmented document set, and each phrase in the segmented text set is converted into a spatial vector through a weighted optimization algorithm, so as to obtain a spatial vector set corresponding to each segmented text, so as to digitize the segmented document set, divide the spatial vector set into a validation set and a training set, perform model training on the spatial vector set, generate an original evaluation model, and perform model tuning processing on the original evaluation model in combination with the validation set to generate a pre-trained evaluation model, evaluate the technical difficulty, complexity and risk of multiple ophthalmic surgery plans, generate predicted evaluation results, and compare the evaluation results with the technical difficulty, complexity and risk evaluation standards formulated by experts, and generate corresponding label combinations for multiple ophthalmic surgery plans according to the comparison results.

The personnel allocation terminal 103 is used to classify the collected nursing staff information and allocate nursing staff of corresponding levels according to the difficulty level of the first ophthalmic surgery plan.

In this embodiment, the personnel allocation terminal 103 includes a nursing staff allocation module 1031, as shown in FIG4. The nursing staff allocation module 1031 is used to allocate nursing staff of corresponding levels according to the difficulty level of the first ophthalmic surgery plan, and allocate corresponding numbers of nursing staff according to the first ophthalmic surgery plans of different difficulty levels, wherein the difficulty level of the first ophthalmic surgery plan is proportional to the number of the nursing staff. As an example in this embodiment, by presetting the number of medical staff corresponding to ophthalmic surgery plans of different difficulty levels in the ophthalmic surgery patient management system, the time of the scheduled ophthalmic surgery is obtained, and the duty information of the current medical staff in the time period is obtained according to the duty table of the nursing staff, and the corresponding number of nursing staff is randomly arranged to be responsible for the ophthalmic surgery plan in combination with the level of the medical staff, and the corresponding schedule information of the nursing staff is updated after the arrangement, so that the nursing staff can obtain the work content in time. Since the higher the difficulty level of ophthalmic surgery, the longer it takes and the greater the workload, the allocation of nursing staff according to the difficulty level of ophthalmic surgery can further help doctors and improve the efficiency of surgery.

The item distribution end 104 is used to distribute the medical instruments and drugs corresponding to the first ophthalmic surgery plan to the nursing staff corresponding to the first ophthalmic surgery plan.

In this embodiment, the item distribution end 104 includes an item distribution module 1041, as shown in Figure 5. The item distribution module 1041 is used to obtain the ophthalmic surgical medical instruments and drugs corresponding to the first ophthalmic surgical plan, and at the same time obtain a list of nursing staff of a corresponding number assigned according to the first ophthalmic surgical plan of different difficulty levels, so that the nursing staff in the list of nursing staff are responsible for different medical instruments and drugs.

In this embodiment, when determining the first ophthalmic surgery plan to be generated for the first patient, the list of medical devices and the list of drugs corresponding to the first ophthalmic surgery plan are obtained, and the obtained list of medical devices and the list of drugs are configured with corresponding sequence codes one by one, and at the same time, the list of nursing staff of the corresponding number assigned to the first ophthalmic surgery plan is obtained, and the sequence codes are randomly assigned to the corresponding nursing staff, so that the nursing staff can take the corresponding medical devices and drugs according to the sequence codes, and update the medical devices and drugs. As an example in this embodiment, the ophthalmic surgery patient management system first configures the sequence codes for the list of medical devices and the list of drugs corresponding to the first ophthalmic surgery plan of the first patient, and currently, the use of medical devices and drugs is to be delivered; after the special delivery personnel compare the list of medical devices and the list of drugs one by one and deliver them to the corresponding operating room, they are stored in the corresponding position, and at this time, the use of medical devices and drugs is updated to have been placed in the receiving operating room and are waiting to be taken; before the operation begins, the corresponding number of nursing staff assigned by the first ophthalmic surgery plan checks and takes the corresponding medical devices and drugs according to the sequence codes, and places them in the corresponding position for use. Compared with the existing practice of only having delivery personnel check and deliver to the operating room, in this embodiment, corresponding nursing staff are also added to check the corresponding medical devices and drugs, which further improves the accuracy of the delivery of medical devices and drugs and reduces the error rate. At the same time, serial numbers are configured for medical devices and drugs and assigned to dedicated nursing staff to facilitate subsequent accountability and improve the management system.

In summary, the present invention provides an ophthalmic surgery patient management system, including an information collection terminal, an operation plan generation terminal, a personnel allocation terminal, and an item allocation terminal. By generating optimal parameter sets corresponding to multiple operation plans, matching the collected preoperative examination data of the first patient with the optimal parameter sets corresponding to the multiple operation plans, and generating the first ophthalmic operation plan to be generated for the first patient, the workload of the doctor can be further reduced, and the efficiency can be improved under the condition of heavy workload. At the same time, the first ophthalmic operation plan to be generated is graded, and the corresponding nursing staff is reasonably allocated, and the nursing staff is responsible for the corresponding medical equipment and drugs, so as to ensure the accuracy of the configuration of medical equipment and drugs and reduce safety hazards. Compared with the prior art, the present invention allocates nursing staff according to the difficulty level of the patient's operation plan, realizes the rational use of personnel, improves efficiency, and reduces safety hazards.

The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention. These improvements and substitutions should also be regarded as the scope of protection of the present invention.

Claims (5)

1. An ophthalmic surgical patient management system comprising: the information acquisition end, the operation scheme planning generation end, the personnel distribution end and the article distribution end are specifically as follows:

the information acquisition end is used for acquiring nursing staff information and first patient information, wherein the first patient information comprises preoperative examination data;

The surgical scheme generating end is used for generating a plurality of training data sets according to historical preoperative examination data of patients corresponding to a plurality of ophthalmic surgical schemes, processing the plurality of training data sets to generate an optimal parameter set corresponding to the plurality of ophthalmic surgical schemes, and acquiring an ophthalmic surgical scheme corresponding to a first patient according to the data matching rate of the first patient information and the optimal parameter set corresponding to the plurality of ophthalmic surgical schemes, and then performing difficulty grade division on the first ophthalmic surgical scheme;

The personnel allocation end is used for grading the acquired nursing personnel information and allocating nursing personnel with corresponding grades according to the difficulty grade of the first ophthalmic operation scheme;

The article distribution end is used for distributing medical instruments and medicines corresponding to the first ophthalmic operation scheme to nursing staff corresponding to the first ophthalmic operation scheme;

the surgical scheme generating end comprises an acquisition module, an optimal parameter generating module and a matching module, and specifically comprises the following steps:

The acquisition module is used for acquiring historical preoperative examination data of massive ophthalmic patients corresponding to a plurality of ophthalmic surgical schemes and generating a plurality of training data sets corresponding to the plurality of ophthalmic surgical schemes;

The optimal parameter generating module is used for classifying the training data sets according to single preoperative inspection items of a single ophthalmic surgery scheme in the ophthalmic surgery schemes, acquiring optimal parameters of the single preoperative inspection items of the single ophthalmic surgery scheme under classification, generating an optimal parameter set of the single ophthalmic surgery scheme, traversing the ophthalmic surgery schemes, generating a plurality of optimal parameter sets corresponding to the ophthalmic surgery schemes, and the matching module is used for matching the acquired preoperative inspection item data of the first patient with the optimal parameter sets corresponding to the ophthalmic surgery schemes to acquire the ophthalmic surgery scheme corresponding to the highest value of the data matching rate as the first ophthalmic surgery scheme to be generated of the first patient.

2. The ophthalmic surgery patient management system according to claim 1, wherein the surgery plan generating end further comprises a label making module and a grading difficulty grading module, specifically:

The label formulation module is used for formulating a label set for the plurality of ophthalmic surgical schemes, and the label set comprises: technical difficulty, complexity and risk, each tag in the set of tags comprising four levels;

The grade difficulty dividing module is used for combining the labels according to grades, dividing different difficulty grades according to different label combinations, and simultaneously acquiring grade difficulty of the first ophthalmic surgery scheme according to the label combinations of the first ophthalmic surgery scheme, wherein the difficulty grades comprise a first difficulty grade, a second difficulty grade, a third difficulty grade and a fourth difficulty grade.

3. The ophthalmic surgery patient management system according to claim 1, wherein the information collection terminal comprises a nursing staff information collection module and a patient information collection module, and specifically comprises:

The nursing staff information acquisition module is used for acquiring working information of all nursing staff in a hospital, wherein the working information comprises: years of practice, times of accompanying operating room, and scheduling list; ranking said all caregivers in combination with said years of practice and said number of operating room accompanies, said ranking comprising a first ranking, a second ranking, a third ranking and a fourth ranking;

the patient information acquisition module is configured to acquire the first patient information, where the first patient information includes: demographic information and pre-operative exam information.

4. An ophthalmic surgical patient management system according to claim 3 wherein the personnel dispensing end comprises a caretaker dispensing module, in particular:

The nursing staff allocation module is used for allocating nursing staff of corresponding grades according to the difficulty grades of the first ophthalmic operation schemes and allocating corresponding numbers of nursing staff according to the first ophthalmic operation schemes with different difficulty grades, wherein the difficulty grades of the first ophthalmic operation schemes are proportional to the numbers of the nursing staff.

5. An ophthalmic surgical patient management system according to claim 4 wherein the article dispensing end includes an article dispensing module, in particular:

The article distribution module is used for obtaining the medical instruments and medicines of the ophthalmic surgery corresponding to the first ophthalmic surgery scheme according to the first ophthalmic surgery scheme, and simultaneously obtaining the medical staff lists of the corresponding quantity distributed according to the first ophthalmic surgery scheme with different difficulty levels, so that the medical staff in the medical staff lists are corresponding to different medical instruments and medicines.