Time-phased physical examination reservation and management system based on intelligent optimization

Abstract

The invention belongs to the technical field of information, and discloses a time-phased physical examination reservation and management system based on intelligent optimization, and the system comprises a physical examination reservation client which is used for a user to complete the selection of a physical examination package, the reservation of a time period and the like online through a mobile phone client according to the actual condition of the user, the self-service machine only needs to print a physical examination guide sheet and sign in and take a number on the site on the same day, and then the whole physical examination process is completed according to system prompts; and the system management end is used for project maintenance, personnel management, system management and the like of physical examination center management personnel. According to the invention, by introducing a time-phased physical examination appointment mode, an intelligent hospital guide service is provided for a user, and a set of time-phased physical examination appointment and management system based on intelligent optimization is designed. The result is that the user only needs to make physical examination before the reservation time period through the online physical examination reservation, and examination is carried out according to the intelligent hospital guide prompt. Through time-phased appointment management, physical examination persons can be averagely arranged in all time periods, the number of physical examination persons on site is effectively controlled, the physical examination queuing time of the users is shortened, and the satisfaction degree of the physical examination users is further improved.

Description

Technical Field

[0001] The present invention belongs to but is not limited to the field of information technology, and in particular relates to a time-segment physical examination reservation and management system based on intelligent optimization. Background Art

[0002] In the traditional physical examination mode, there is no need to make an appointment and only on-site payment is required for the examination. The number of people undergoing physical examinations in each period is highly random, and the number of people undergoing physical examinations in each period is uncertain. When there are fewer people, the workload of the physical examination staff is not saturated; during peak hours, people are crowded together, the order is relatively chaotic and cross-infection is easy. This mode not only causes a waste of resources and reduces user satisfaction with physical examinations, but also is not conducive to the physical examination center's physical examination scheduling for group personnel. Therefore, there is an urgent need for a time-divided physical examination appointment and management system based on intelligent optimization. Physical examinees can consult online and select physical examination packages through the WeChat official account, and then make physical examination appointments according to their actual personal conditions according to the physical examination precautions. The physical examination center can reasonably schedule and arrange physical examinations for group personnel according to the appointment situation, thereby effectively reducing the waiting time for physical examinees and improving the quality of physical examination services. Summary of the invention

[0003] In view of the problems existing in the prior art, the present invention provides a time-slot physical examination reservation and management system based on intelligent optimization.

[0004] The present invention is implemented as follows: a time-divided physical examination reservation and management system based on intelligent optimization, the system comprising:

[0005] The physical examination appointment client is used by users to complete the selection of physical examination packages and appointment of time periods online according to their actual situation through the mobile client. Users only need to go to the on-site self-service machine to print the physical examination guide sheet and sign in to get a number on the day of the check-in, and then complete the entire physical examination process according to the system prompts;

[0006] The data collection and analysis module calculates the user load in each period through the time series prediction model based on the appointment data, queue data and physical examination report; the expression of the model is:

[0007] ARIMA or LSTM, predict the user load L in each period t , the model expression is:

[0008]

[0009] The ARIMA model predicts short-term load based on historical trends and is suitable for stable data; the LSTM model captures long-term dependencies and is suitable for scenarios with large load fluctuations. The prediction results provide accurate load values ​​for the period, providing a basis for dynamically adjusting signal source allocation;

[0010] According to the predicted user load and the reception capacity of the physical examination center, the system sets a basic appointment number for each time period. Combined with the patient package content, the number source allocation for the time period is dynamically adjusted. The core of the algorithm is to analyze the possible overlap of projects for patients who make appointments for this time period, such as the extreme scenario where patients in the same time period all include color ultrasound projects. By calculating the maximum reception capacity of the color ultrasound equipment in this time period, the number of appointments for the color ultrasound project in this time period is limited. At the same time, the algorithm is dynamically adjusted according to the resource occupancy of other projects to ensure that the reception capacity of the physical examination center is maximized and the user experience is optimized under the conditions of limited equipment and personnel resources.

[0011] The forecast results are used to dynamically adjust time period capacity and check resource allocation;

[0012] Self-service check-in hardware equipment, which supports QR code scanning, fingerprint or face recognition, is used for users to check in and print physical examination instructions. At the same time, it generates a priority queue for medical guidance based on the user's appointment time period information; smart medical guidance screens are installed in the physical examination center to display the progress of examination items and queue status in real time, and support data synchronization with mobile clients;

[0013] The electronic report management system stores physical examination reports through a distributed database and combines it with a permission management module based on an encrypted hash algorithm to ensure data security when users query reports online;

[0014] The message board and health consultation module adopts a health risk prediction model based on logistic regression, combining the message content and physical examination report data. The model expression is:

[0015]

[0016] Where X is the "user health indicator feature" and y=1 indicates the presence of health risks; the prediction results are used to automatically generate targeted health suggestions and push them to users;

[0017] The system management end is used by physical examination center managers to perform project maintenance, personnel management, system management, etc.

[0018] Furthermore, the physical examination appointment client uses the WeChat public account and integrates the health questionnaire analysis algorithm to provide physical examination users with appointment, payment, navigation, report inquiry and other services, which basically covers all the business of the entire physical examination process before, during and after the examination; it parses the health problems input by the user through natural language processing (NLP) technology and automatically recommends physical examination packages.

[0019] Furthermore, the physical examination appointment client uses a dynamic priority sorting algorithm to generate the optimal guidance path in real time according to the appointment time, queue status and examination item location of the physical examination person. The objective function is to minimize the user waiting time T w :

[0020]

[0021] where t wait (q i ) represents the waiting time in queue, t travel (p i-1 , p i ) represents the moving time between physical examination items;

[0022] The physical examination reservation client is based on the physical examination reservation data D={d1, d2, ..., d n} and the physical examination center period capacity C t , use the load balancing algorithm to dynamically adjust the maximum number of reservations for each time period A t , the objective function is to minimize the period overload:

[0023]

[0024] Where T represents the total number of time periods, and the constraints are used to ensure that the examinees are allocated to a reasonable time period:

[0025] N is the total number of reservations.

[0026] Furthermore, the data collection and analysis module applies a check resource scheduling algorithm and uses a heuristic optimization algorithm to select the device availability A e , Staff Scheduling p and check project priority P c , to achieve the optimal allocation of inspection resources:

[0027]

[0028] Where R u Indicates resource utilization, with the goal of improving equipment utilization efficiency and reducing the waiting time for examinees;

[0029] The data collection and analysis module applies the user health risk prediction model, based on the health questionnaire data and historical physical examination reports, and uses the logistic regression or support vector machine (SVM) model to predict the user's potential health risk. The model expression is:

[0030]

[0031] Where y = l indicates the presence of health risk, X = {x1, x2, …, x n} is the health indicator feature, β i is the model coefficient; the prediction results are used to provide health consultation and customized physical examination package recommendations.

[0032] The data collection and analysis module builds a model for predicting the personnel load of the physical examination center through the historical data of the physical examination center.

[0033] H={h1,h2,…,h m}, use the time series prediction model to predict the reservation load in each future period, the model expression is:

[0034]

[0035] in is the predicted load of the tth period, p is the size of the historical data window, and f is the model function. The prediction results are used to dynamically adjust the period capacity and guidance plan to optimize resource allocation.

[0036] Furthermore, the pre-inspection services specifically include:

[0037] With the help of this system, the examinee can complete all pre-examination services such as information entry, appointment, consultation, etc. online, so that the examinee can complete the physical examination as long as the appointment time is met, without running back and forth; the examinee logs in to the hospital's WeChat official account and enters personal basic information in the personal center for later push, etc.; enters the physical examination appointment menu and fills in the personal health questionnaire. The system provides a health consultation function. The relevant consultation questions raised by the user will be summarized and answered by the center staff. Typical questions and answers will be published for all users to inquire; users can choose individual and group user categories according to their own situation and complete the selection of physical examination packages; after selecting the package, they can make an appointment for the physical examination time according to their actual situation, pay the fee after the appointment is successful, and return the physical examination appointment form;

[0038] The inspection services specifically include:

[0039] The examinee only needs to come to the examination center before the appointment time, sign in at the self-service machine and print the examination guide sheet; the examinee completes each examination item according to the intelligent guidance and system prompts, and can check the current queue status of each examination item online. According to the examination sequence recommended by the system, the examination time can be arranged reasonably, which reduces the situation of examinees queuing blindly, speeds up the examination process, reduces the workload of manual guidance, and improves the user experience of the examination;

[0040] The post-inspection services specifically include:

[0041] After the physical examination is completed, the system provides an online query function for electronic reports, reducing the issuance of paper reports, which is both environmentally friendly and saves costs for the physical examination center; through the message board function provided by the system, users can consult experts online based on questions in their own reports.

[0042] Furthermore, the system management terminal provides managers with project management, shift management, basic data management, system settings, and report query functions, including setting the basic duration of each examination item, and estimating the number of examinees that can be accommodated in each period through comprehensive analysis of the examination resources in each period, and dynamically adjusting the number allocation of appointment periods accordingly, so as to optimize the reception capacity and resource utilization of the physical examination center. Furthermore, the basic data management specifically includes:

[0043] Maintain all inspection items provided to the outside, including basic information such as item introduction, item price, inspection location, and inspection precautions. At the same time, it is necessary to mark the items that need to be inspected and queued, and maintain the estimated inspection time of the items for the calculation of the intelligent guidance queue sequence;

[0044] The shift management specifically includes:

[0045] Maintain staff scheduling information, set the number of online and offline numbers, and generate a resource pool based on the schedule for users to make appointments; arrange group physical examination time reasonably according to the number of numbers, and ensure that some numbers are reserved every day for temporary physical examination personnel on site; system management: including the setting of a blacklist for missed appointments, prohibiting online appointments for people who have missed appointments multiple times, but have not reported;

[0046] Another object of the present invention is to provide a time-divided physical examination appointment and management method based on intelligent optimization based on the time-divided physical examination appointment and management system based on intelligent optimization, the method specifically comprising:

[0047] S1: Intelligent package recommendation and dynamic design of time-divided number sources;

[0048] 1) Smart package recommendation

[0049] The system recommends suitable medical examination packages to users through intelligent algorithms based on the user's health information (such as age, gender, historical medical examination data, etc.) and the package items provided by the medical examination center;

[0050] The recommended algorithm is implemented as follows:

[0051] For individual users, the system matches the user's historical physical examination data, combines it with health risk assessment models (such as chronic disease prediction algorithms), and intelligently generates recommended packages;

[0052] For group users, the system provides fixed packages or price items according to the type of physical examination contract signed by the unit, and allows personalized payment to add items;

[0053] When users select a recommended package, they can manually adjust the items. The system will calculate the cost after adding or removing items in real time and update the recommendation results.

[0054] 2) Dynamic design of time-divided signal source

[0055] The physical examination center divides a day into KK appointment time periods (based on hours, and the time period duration can be customized). Based on historical data and scheduling, the maximum number of people served in each time period is estimated to be M+NM+N:

[0056] MM: number of online appointment numbers;

[0057] NN: number of offline manual appointment numbers (for on-site temporary physical examinations or those who are inconvenient to make appointments online);

[0058] The system dynamically adjusts the number source allocation:

[0059] Real-time monitoring of appointment progress and on-site personnel flow in each time period. When the actual number of people arriving for examination is lower than M+NM+N, the number of people in the last time period can be automatically released to the current time period in advance to improve work saturation;

[0060] If the number of people who make reservations in advance exceeds the estimated upper limit M+NM+N, the system will dynamically add more numbers and prompt the user to select a subsequent free time period;

[0061] After the user successfully makes an appointment, the system assigns a unique physical examination number, which has a fixed generation rule and is used for physical examination, report collection and later data mining;

[0062] By introducing intelligent package recommendations and dynamically adjusting number source design, users can reasonably choose physical examination items and go to the physical examination center according to the appointment time, thereby improving user experience and center resource utilization;

[0063] S2: Intelligent time-slot reservation and dynamic adjustment of number sources;

[0064] 1) Time-slot appointment process

[0065] Users can enter the appointment interface through WeChat official account or other online platforms, enter user information and select package, and then freely choose the physical examination time:

[0066] Individual users: select a reservation time period through intelligently recommended packages or custom items;

[0067] Group users: Pass the unit authorization identity verification, select the adaptation package, and allow personalized project adjustments;

[0068] After the reservation is successful, the system will generate a physical examination number for the user and push the physical examination instructions; the user's reservation information includes: package content, reservation time period, precautions, etc.

[0069] 2) Dynamically adjust the number source

[0070] During the reservation process, the system monitors the usage of numbers in each time period in real time:

[0071] If the number of people who have made reservations for a certain time period is lower than the maximum limit M+NM+N, the system will remind users who have not made reservations to choose this time period through notifications, thereby improving the utilization rate of number resources;

[0072] When the number of reservations for a certain time period approaches the upper limit M+NM+N, the system dynamically releases the number of subsequent time periods, or guides users to choose other free time periods;

[0073] Through time-slot reservations and dynamic adjustment of appointment numbers, the system enables efficient matching of user-on-demand reservations with physical examination center resources;

[0074] S3: Intelligent guidance and shortest queuing time algorithm;

[0075] 1) Check-in and queue sequence management

[0076] The user signs in 30 minutes before the appointment time to receive the queue number and enter the waiting area; the system dynamically updates the inspection process based on the real-time queue data;

[0077] The large screen in the waiting area displays the serial number currently being checked (first MM digits). The system pushes the new serial number to the large screen only after the previous batch of users have completed the inspection;

[0078] 2) Check order optimization

[0079] Based on the package selected by the user and the real-time queue status of each inspection item, the system generates an inspection sequence with the shortest queue time for the user;

[0080] Algorithm implementation:

[0081] Each inspection item is set with an estimated inspection duration TiT_i, which is dynamically updated based on historical data and actual conditions;

[0082] Each project maintains a real-time queue number NiN_i, and the queue duration Qi=Ti×NiQ_i=T_i\timesN_i;

[0083] The user's examination order is arranged from small to large according to QiQ_i, and a guide map with the shortest waiting time is generated;

[0084] After the user completes a project, the system automatically updates the queue time QiQ_i of the remaining projects and generates a new inspection order;

[0085] Data structure design:

[0086] Queue: stores the queue information of each item. Each element in the queue contains: item number i, number of people in the queue N i , the checking time of a single user is T i , and the queue time Q i ;

[0087] Sorting mechanism: Queues are sorted based on the queue time Q i Automatic sorting ensures that each inspection is arranged in ascending order according to the shortest waiting time;

[0088] Calculation of queue time:

[0089] The queue time for each item can be calculated using the following formula:

[0090] Q i =T i ×N i

[0091] in:

[0092] T i The duration of a single inspection for the project;

[0093] N i The real-time queue number for this project;

[0094] Update the queue order:

[0095] Initially, all items are pressed Q i , sort, generate a guide map and present it to the user;

[0096] After a user completes a project, the system automatically updates the queue information for that project;

[0097] Specifically, the number of people in the queue who have completed the project N i reduce;

[0098] Then calculate the new queue time Q based on the new queue number i =T i ×N i ;

[0099] The system presses the new Q again i Sort items and generate a new inspection order;

[0100] System update steps:

[0101] Initialize queue information: the number of people in queue for each item N i and single inspection time T i is entered into the system;

[0102] Calculate the queue time Q i The queue time for each item is given by the formula Q i =T i ×N i Calculated;

[0103] Press Q i Sorting: According to the queue time of each item Q i, the system sorts all items and generates the inspection order with the shortest queue time;

[0104] Update order: After a user completes a project, the system automatically updates the number of people in the queue for that project N i , and recalculate the new queue time Q i ;

[0105] Re-rank: According to the new Q i , the system reorders the items and generates a new guide map;

[0106] 3) Dynamic adjustment and guidance

[0107] The system supports users to skip the recommended order inspection and dynamically updates other queue data to ensure that the inspection optimization of subsequent users is not affected;

[0108] Visualized medical guide maps are pushed in real time through mobile terminals to help users plan the medical examination process reasonably and avoid long queues for certain items;

[0109] Through the recommendation of the shortest waiting time and dynamic guidance mechanism, the system effectively reduces the user's overall waiting time and improves the efficiency of physical examinations.

[0110] Another object of the present invention is to provide a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method for scheduling and managing physical examinations in different time periods based on intelligent optimization.

[0111] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the method for scheduling and managing physical examinations in different time periods based on intelligent optimization.

[0112] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0113] The present invention provides intelligent medical guidance services to users by introducing a time-divided medical examination appointment mode, and designs a time-divided medical examination appointment and management system based on intelligent optimization. Results: Users can make an online medical examination appointment and only need to come for the medical examination during the appointment period and perform the examination according to the intelligent medical guidance prompts. Through time-divided appointment management, the examinees can be evenly arranged in each time period, effectively controlling the number of on-site medical examinations, reducing the waiting time for users to have medical examinations, and further improving the user satisfaction of medical examinations.

[0114] The core innovations of the present invention are reflected in three aspects: first, based on the user's health data and physical examination needs, the system intelligently recommends the most suitable physical examination package, and provides scientific and accurate package selection suggestions by analyzing the user's historical physical examination records, health risks and personalized needs; second, the system dynamically adjusts the allocation of time slot numbers based on the package content of the appointment personnel and the equipment resources and operation time of each examination item, especially optimizing the configuration of examination resources during peak hours to minimize waiting time and resource conflicts; finally, on the day of the physical examination, the system uses the intelligent guidance function to dynamically adjust the patient's examination path according to the real-time examination status, queuing information and equipment availability, providing an efficient and smooth physical examination process, and comprehensively improving the user experience and center operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0115] Figure 1 It is a schematic diagram of the structure of a time-divided physical examination reservation and management system based on intelligent optimization provided by an embodiment of the present invention;

[0116] Figure 2 It is a time-division signal source generation rule diagram provided by an embodiment of the present invention;

[0117] Figure 3 This is a flow chart of a time-divided physical examination reservation provided by an embodiment of the present invention;

[0118] Figure 4 This is a flow chart of a method for scheduling and managing physical examinations in different time periods based on intelligent optimization provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0119] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0120] like Figure 1 As shown, an embodiment of the present invention provides a time-divided physical examination reservation and management system based on intelligent optimization, the system comprising:

[0121] The physical examination appointment client is used by users to complete the selection of physical examination packages and appointment of time periods online according to their actual situation through the mobile client. Users only need to go to the on-site self-service machine to print the physical examination guide sheet and sign in to get a number on the day of the check-in, and then complete the entire physical examination process according to the system prompts;

[0122] The data collection and analysis module uses time series prediction models, such as ARIMA or LSTM, to predict the user load L in each period based on appointment data, queue data, and physical examination reports. t , the model expression is:

[0123]

[0124] The forecast results are used to dynamically adjust time period capacity and check resource allocation;

[0125] Self-service check-in hardware equipment, which supports QR code scanning, fingerprint or face recognition, is used for users to check in and print physical examination instructions. At the same time, it generates a priority queue for medical guidance based on the user's appointment time period information; smart medical guidance screens are installed in the physical examination center to display the progress of examination items and queue status in real time, and support data synchronization with mobile clients;

[0126] The electronic report management system stores physical examination reports through a distributed database and combines it with a permission management module based on an encrypted hash algorithm to ensure data security when users query reports online;

[0127] The message board and health consultation module adopts a health risk prediction model based on logistic regression, combining the message content and physical examination report data. The model expression is:

[0128]

[0129] Where X is the "user health indicator feature" and y=1 indicates the presence of health risks; the prediction results are used to automatically generate targeted health suggestions and push them to users;

[0130] The system management end is used by physical examination center managers to perform project maintenance, personnel management, system management, etc.

[0131] The physical examination appointment client uses the WeChat public account and integrates the health questionnaire analysis algorithm to provide physical examination users with appointment, payment, navigation, report inquiry and other services, which basically covers all the business of the entire physical examination process before, during and after the examination; it analyzes the health problems input by users through natural language processing (NLP) technology and automatically recommends physical examination packages.

[0132] The physical examination appointment client uses a dynamic priority sorting algorithm to generate the optimal guidance path in real time according to the physical examination patient's appointment time, queue status and examination item location. The objective function is to minimize the user waiting time T w :

[0133]

[0134] where t wait (q i ) represents the waiting time in queue, t travel (p i-1 , p i ) represents the moving time between physical examination items;

[0135] The physical examination reservation client is based on the physical examination reservation data D={d1, d2, ..., d n} and the physical examination center period capacity C t , use the load balancing algorithm to dynamically adjust the maximum number of reservations for each time period A t , the objective function is to minimize the period overload:

[0136]

[0137] Where T represents the total number of time periods, and the constraints are used to ensure that the examinees are allocated to a reasonable time period:

[0138] N is the total number of reservations.

[0139] Furthermore, the data collection and analysis module applies a check resource scheduling algorithm and uses a heuristic optimization algorithm to select the device availability A e , Staff Scheduling p and check project priority P c , to achieve the optimal allocation of inspection resources:

[0140]

[0141] Where R u Indicates resource utilization, with the goal of improving equipment utilization efficiency and reducing the waiting time for examinees;

[0142] The data collection and analysis module applies the user health risk prediction model, based on the health questionnaire data and historical physical examination reports, and uses the logistic regression or support vector machine (SVM) model to predict the user's potential health risk. The model expression is:

[0143]

[0144] Where y = l indicates the presence of health risk, X = {x1, x2, …, x n} is the health indicator feature, β i is the model coefficient; the prediction results are used to provide health consultation and customized physical examination package recommendations.

[0145] The data collection and analysis module physical examination center staff load prediction model is based on the physical examination center historical data H = {h1, h2, ..., h m}, use the time series prediction model to predict the reservation load in each future period, the model expression is:

[0146]

[0147] in is the predicted load of the tth period, p is the size of the historical data window, and f is the model function. The prediction results are used to dynamically adjust the period capacity and guidance plan to optimize resource allocation.

[0148] The pre-inspection services specifically include:

[0149] With the help of this system, the examinee can complete all pre-examination services such as information entry, appointment, consultation, etc. online, so that the examinee can complete the physical examination as long as the appointment time is met, without running back and forth; the examinee logs in to the hospital's WeChat official account and enters personal basic information in the personal center for later push, etc.; enters the physical examination appointment menu and fills in the personal health questionnaire. The system provides a health consultation function. The relevant consultation questions raised by the user will be summarized and answered by the center staff. Typical questions and answers will be published for all users to inquire; users can choose individual and group user categories according to their own situation and complete the selection of physical examination packages; after selecting the package, they can make an appointment for the physical examination time according to their actual situation, pay the fee after the appointment is successful, and return the physical examination appointment form;

[0150] The inspection services specifically include:

[0151] The examinee only needs to come to the examination center before the appointment time, sign in at the self-service machine and print the examination guide sheet; the examinee completes each examination item according to the intelligent guidance and system prompts, and can check the current queue status of each examination item online. According to the examination sequence recommended by the system, the examination time can be arranged reasonably, which reduces the situation of examinees queuing blindly, speeds up the examination process, reduces the workload of manual guidance, and improves the user experience of the examination;

[0152] The post-inspection services specifically include:

[0153] After the physical examination is completed, the system provides an online query function for electronic reports, reducing the issuance of paper reports, which is both environmentally friendly and saves costs for the physical examination center; through the message board function provided by the system, users can consult experts online based on questions in their own reports.

[0154] Furthermore, the system management terminal provides managers with functions such as project management, shift management, basic data management, system settings, and report query.

[0155] Furthermore, the basic data management specifically includes:

[0156] Maintain all inspection items provided to the outside, including basic information such as item introduction, item price, inspection location, and inspection precautions. At the same time, it is necessary to mark the items that need to be inspected and queued, and maintain the estimated inspection time of the items for the calculation of the intelligent guidance queue sequence;

[0157] The shift management specifically includes:

[0158] Maintain the staff's shift information, set the number of online and offline numbers, and generate a resource pool based on the shift for users to make appointments. According to the number of numbers, reasonably arrange the physical examination time for groups and units to ensure that some numbers are reserved every day for temporary physical examination personnel on site. System management: including the setting of a blacklist for missed appointments, prohibiting online appointments for people who have missed appointments many times, but not reported. Foreign studies have reported that surgeons are reluctant to report adverse events. After an adverse event occurs, clinical staff usually think that the operation has failed, and they deny their clinical skills, their own abilities, and even their career choices. At present, there are few reports of adverse medical events in my country, which is mainly related to the severe situation of the medical staff's working environment. When a serious adverse event occurs, in order to avoid responsibility and criticism, doctors are reluctant to take the initiative to report it until the patient complains or a dispute occurs. Only through identification can it be determined whether there is a clear responsibility, but solving the problem through this way cannot be understood by patients, and it also takes a lot of time for staff to deal with disputes. In order to improve the reporting of adverse events by medical staff, a non-punitive medical safety culture should be gradually established. At the same time, doctors' reporting of adverse events should be used as an indicator for department assessment, and severe penalties should be imposed on the underreporting of grade I and II serious adverse events, so as to achieve the purpose of reducing the underreporting of adverse events.

[0159] Another object of the present invention is to provide a time-divided physical examination appointment and management method based on intelligent optimization based on the time-divided physical examination appointment and management system based on intelligent optimization, the method specifically comprising:

[0160] like Figure 2 As shown in the figure, the time slot number source design; the physical examination center takes one hour as a time slot, and the segment duration can be customized. There are K time slots available for appointment throughout the day. According to past work experience and staff scheduling, the maximum number of people that can be served in each time slot is estimated to be M+N; M number sources are provided for online appointment in each time slot. Considering temporary physical examination personnel and those who are inconvenient to make online appointments, N offline number sources are reserved in each time slot for on-site manual appointments; the same sequence number queue is shared online and offline, with no difference in sorting. There are M+N number sources for selection in each time slot, and the next time slot number source is selected after the appointment is full; since the number of people available for appointment in each time slot is an estimated value, the work of the inspection personnel may not be saturated during the actual inspection process, so the system allows the last time slot to temporarily increase the number source offline for appointment; each time slot number source shares a physical examination number sequence, and a unique physical examination number will be assigned when the user makes an appointment, which is used for later physical examinations, report collection, etc. The physical examination number has an established generation rule, which is convenient for later data statistics and mining; by introducing time slot number sources, the physical examination person can roughly know his or her own examination time, so that he or she can reasonably arrange his or her time to come to the hospital according to the appointment time;

[0161] like Figure 3As shown, appointments are made in different time periods; users enter the physical examination appointment interface through the hospital's WeChat official account and select the user category; for individual physical examination users, they need to enter their basic personal information in advance and then choose a checkup package; for group users, they need to pass identity verification and then choose a fixed package or fixed-price project according to the different types of physical examination contracts signed by the unit. Taking into account the personalized needs of employees, additional projects can be added at individual expense; after the project selection is completed, users can freely choose the time period for their own health examination according to their actual situation, and the physical examination of the examinees can be divided into different time periods to achieve personnel diversion and reduce the flow of people in the physical examination center; after selecting the physical examination time period, users confirm and pay for the physical examination package and physical examination time period they choose, and group users pay the fees that exceed the standard. After the appointment is successful, the system returns a physical examination number and relevant physical examination instructions, and the system will push relevant precautions to the user through SMS and official accounts one day before the physical examination;

[0162] Intelligent medical guidance: According to the medical examination package selected by the examinee and the queue situation of each item, an examination sequence with the shortest waiting time is generated for the user for reference; first, the user arrives at the site in advance according to the appointment time, and signs in by self-service machine to obtain the queue number. The system only allows sign-in and number collection half an hour before the appointment time to enter the waiting queue sequence; the system maintains a maximum number of people M who can be examined at the same time. The numbers in the first M positions in the current sequence will be displayed on the large screen of the waiting area, and the examinee will enter the examination area for physical examination according to the number called on the large screen; only after the examinee in front has completed all the examinations, the system will display the next waiting number on the large screen and call the examinee to notify him, so as to ensure the number of people in the examination area; secondly, the system uses the shortest queue time algorithm to provide users with a visual examination sequence guidance diagram as a reference through the mobile client; the algorithm is implemented as follows, the system will set an estimated examination time Ti for each examination item based on historical data, and update it regularly according to the actual examination situation Ti, and each item maintains a queue sequence separately, and records the real-time queue number Ni, so the estimated queue time for each queue is Qi=Ti×Ni; before each queue selection by the user, the system will calculate the remaining queue time Qi for each item, and then provide a check-up sequence guide map for the physical examination personnel according to the queue time from short to long, based on the principle of priority for the shortest waiting time; when the user chooses to queue for a certain item, he needs to swipe the physical examination number to sign in, thereby updating the queue number Ni; at the same time, considering that not all users will be examined in the recommended order, and the time will be extended due to unexpected situations during the examination, each queue sequence will change dynamically; after the user completes the examination of each item, the system automatically updates the estimated queue time of each queue for the user's remaining items, and generates a new examination sequence for reference; through the recommendation of the shortest queue time, guide patients to be evenly distributed to various examination items, avoid crowding in certain items and long waiting time, and effectively reduce the total queue examination time of patients.

[0163] like Figure 4 As shown, the present invention provides a method for scheduling and managing physical examinations in different time periods based on intelligent optimization, including:

[0164] S1: Intelligent package recommendation and dynamic design of time-divided number sources;

[0165] 1) Smart package recommendation

[0166] The system recommends suitable medical examination packages to users through intelligent algorithms based on the user's health information (such as age, gender, historical medical examination data, etc.) and the package items provided by the medical examination center;

[0167] The recommended algorithm is implemented as follows:

[0168] For individual users, the system matches the user's historical physical examination data, combines it with health risk assessment models (such as chronic disease prediction algorithms), and intelligently generates recommended packages;

[0169] For group users, the system provides fixed packages or price items according to the type of physical examination contract signed by the unit, and allows personalized payment to add items;

[0170] When users select a recommended package, they can manually adjust the items. The system will calculate the cost after adding or removing items in real time and update the recommendation results.

[0171] 2) Dynamic design of time-divided signal source

[0172] The physical examination center divides a day into KK appointment time periods (based on hours, and the time period duration can be customized). Based on historical data and scheduling, the maximum number of people served in each time period is estimated to be M+NM+N:

[0173] MM: number of online appointment numbers;

[0174] NN: number of offline manual appointment numbers (for on-site temporary physical examinations or those who are inconvenient to make appointments online);

[0175] The system dynamically adjusts the number source allocation:

[0176] Real-time monitoring of appointment progress and on-site personnel flow in each time period. When the actual number of people arriving for examination is lower than M+NM+N, the number of people in the last time period can be automatically released to the current time period in advance to improve work saturation;

[0177] If the number of people who make reservations in advance exceeds the estimated upper limit M+NM+N, the system will dynamically add more numbers and prompt the user to select a subsequent free time period;

[0178] After the user successfully makes an appointment, the system assigns a unique physical examination number, which has a fixed generation rule and is used for physical examination, report collection and later data mining;

[0179] By introducing intelligent package recommendations and dynamically adjusting number source design, users can reasonably choose physical examination items and go to the physical examination center according to the appointment time, thereby improving user experience and center resource utilization;

[0180] S2: Intelligent time-slot reservation and dynamic adjustment of number sources;

[0181] 1) Time-slot appointment process

[0182] Users can enter the appointment interface through WeChat official account or other online platforms, enter user information and select package, and then freely choose the physical examination time:

[0183] Individual users: select a reservation time period through intelligently recommended packages or custom items;

[0184] Group users: Pass the unit authorization identity verification, select the adaptation package, and allow personalized project adjustments;

[0185] After the reservation is successful, the system will generate a physical examination number for the user and push the physical examination instructions; the user's reservation information includes: package content, reservation time period, precautions, etc.

[0186] 2) Dynamically adjust the number source

[0187] During the reservation process, the system monitors the usage of numbers in each time period in real time:

[0188] If the number of people who have made reservations for a certain time period is lower than the maximum limit M+NM+N, the system will remind users who have not made reservations to choose this time period through notifications, thereby improving the utilization rate of number resources;

[0189] When the number of reservations for a certain time period approaches the upper limit M+NM+N, the system dynamically releases the number of subsequent time periods, or guides users to choose other free time periods;

[0190] Through time-slot reservations and dynamic adjustment of appointment numbers, the system enables efficient matching of user-on-demand reservations with physical examination center resources;

[0191] S3: Intelligent guidance and shortest queuing time algorithm;

[0192] 1) Check-in and queue sequence management

[0193] The user signs in 30 minutes before the appointment time to receive the queue number and enter the waiting area; the system dynamically updates the inspection process based on the real-time queue data;

[0194] The large screen in the waiting area displays the serial number currently being checked (first MM digits). The system pushes the new serial number to the large screen only after the previous batch of users have completed the inspection;

[0195] 2) Check order optimization

[0196] Based on the package selected by the user and the real-time queue status of each inspection item, the system generates an inspection sequence with the shortest queue time for the user;

[0197] Algorithm implementation:

[0198] Each inspection item is set with an estimated inspection duration TiT_i, which is dynamically updated based on historical data and actual conditions;

[0199] Each project maintains a real-time queue number NiN_i, and the queue duration Qi=Ti×NiQ_i=T_i\timesN_i;

[0200] The user's examination order is arranged from small to large according to QiQ_i, and a guide map with the shortest waiting time is generated;

[0201] After the user completes a project, the system automatically updates the queue time QiQ_i of the remaining projects and generates a new inspection order;

[0202] Data structure design:

[0203] Queue: stores the queue information of each item. Each element in the queue contains: item number i, number of people in the queue N i , the checking time of a single user is T i , and the queue time Q i ;

[0204] Sorting mechanism: Queues are sorted based on the queue time Q i Automatic sorting ensures that each inspection is arranged in ascending order according to the shortest waiting time;

[0205] Calculation of queue time:

[0206] The queue time for each item can be calculated using the following formula:

[0207] Q i =T i ×N i

[0208] in:

[0209] T i The duration of a single inspection for the project;

[0210] N i The real-time queue number for this project;

[0211] Update the queue order:

[0212] Initially, all items are pressed Q i , sort, generate a guide map and present it to the user;

[0213] After a user completes a project, the system automatically updates the queue information for that project;

[0214] Specifically, the number of people in the queue who have completed the project N i reduce;

[0215] Then calculate the new queue time Q based on the new queue number i =T i ×N i ;

[0216] The system presses the new Q again i Sort items and generate a new inspection order;

[0217] System update steps:

[0218] Initialize queue information: the number of people in queue for each item N i and single inspection time T i is entered into the system;

[0219] Calculate the queue time Q i The queue time for each item is given by the formula Q i =T i ×N i Calculated;

[0220] Press Q i Sorting: According to the queue time of each item Q i , the system sorts all items and generates the inspection order with the shortest queue time;

[0221] Update order: After a user completes a project, the system automatically updates the number of people in the queue for that project N i , and recalculate the new queue time Q i ;

[0222] Re-rank: According to the new Q i , the system reorders the items and generates a new guide map;

[0223] 3) Dynamic adjustment and guidance

[0224] The system supports users to skip the recommended order inspection and dynamically updates other queue data to ensure that the inspection optimization of subsequent users is not affected;

[0225] Visualized medical guide maps are pushed in real time through mobile terminals to help users plan the medical examination process reasonably and avoid long queues for certain items;

[0226] Through the recommendation of the shortest waiting time and dynamic guidance mechanism, the system effectively reduces the user's overall waiting time and improves the efficiency of physical examinations.

[0227] 1. Specific application fields or related products of the present invention

[0228] 1. Hospital physical examination appointment system

[0229] The present invention is applicable to the reservation management system of a hospital or a physical examination center, and particularly during the peak period of physical examination, physical examination resources can be reasonably allocated through the time-segment intelligent optimization method to improve the reservation efficiency.

[0230] 2. Enterprise physical examination management platform

[0231] In the employee physical examination management of large enterprises, intelligent optimization technology can be used to arrange physical examinations in different time periods to ensure full utilization of resources while improving employee experience.

[0232] 3. Health insurance service platform

[0233] Health insurance companies can use the present invention to provide value-added services to customers, and help customers reasonably arrange examination time and items through accurate time-slot physical examination reservation functions.

[0234] 4. Smart health self-service terminal

[0235] Integrated in the health self-service terminal in the hospital or community, it provides users with convenient physical examination appointment and management functions, while handling efficient time-slot resource allocation.

[0236] 5. Remote health monitoring and management system

[0237] The present invention is applicable to a remote health management platform, and coordinates distributed physical examination resources through an intelligent optimization algorithm to solve the difficulties in physical examination appointments caused by geographical restrictions.

[0238] 6. Smart elderly care service platform

[0239] In the field of elderly care services, the system can provide accurate physical examination appointment services for the elderly, and optimize physical examination time periods and resource arrangements based on the special needs of the elderly.

[0240] II. Evidence of the Technical Effects Obtained by the Embodiments of the Present Invention

[0241] 1. Improve physical examination efficiency

[0242] The present invention effectively balances the physical examination load in different time periods by intelligently optimizing the physical examination appointment management in different time periods, reduces the waiting time in queues, and improves the reception efficiency of the physical examination center.

[0243] 2. Optimize resource utilization

[0244] The system dynamically adjusts time allocation and resource usage based on an intelligent optimization algorithm, making full use of physical examination equipment and human resources and avoiding waste of resources or overload operation.

[0245] 3. Reduce manual intervention

[0246] The automatic execution of physical examination appointments and time-slot management through computer programs reduces the complexity of traditional manual scheduling, improves management efficiency, and reduces the rate of human error.

[0247] 4. Improved user experience

[0248] The system can provide personalized appointment time periods based on user preferences and physical examination needs, reducing the complexity of user selection while improving user satisfaction.

[0249] 5. Multi-scenario adaptability

[0250] This method supports physical examination appointment needs in different scenarios, including online appointments, offline appointments and self-service terminal appointments, and has high flexibility and wide applicability.

[0251] 6. Data-driven decision support

[0252] Based on big data analysis, the system can optimize appointment strategies in a timely manner, provide data support for physical examination centers, and help improve service processes and future resource planning.

[0253] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. It can be understood by a person of ordinary skill in the art that the above-mentioned devices and methods can be implemented using computer executable instructions and / or contained in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium. The device and its modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0254] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principle of the present invention should be covered by the protection scope of the present invention.

Claims

1. A time-divided physical examination reservation and management system based on intelligent optimization, characterized in that: The system includes: The physical examination appointment client is used by users to complete the selection of physical examination packages and appointment of time periods online according to their actual situation through the mobile client. Users only need to go to the on-site self-service machine to print the physical examination guide sheet and sign in to get a number on the day of the check-in, and then complete the entire physical examination process according to the system prompts; The data collection and analysis module uses time series prediction models, such as ARIMA or LSTM, to predict the user load L in each period based on appointment data, queue data, and physical examination reports. t , the model expression is: The forecast results are used to dynamically adjust time period capacity and check resource allocation; Self-service check-in hardware equipment, which supports QR code scanning, fingerprint or face recognition, is used for users to check in and print physical examination instructions. At the same time, it generates a priority queue for medical guidance based on the user's appointment time period information; smart medical guidance screens are installed in the physical examination center to display the progress of examination items and queue status in real time, and support data synchronization with mobile clients; The electronic report management system stores physical examination reports through a distributed database and combines it with a permission management module based on an encrypted hash algorithm to ensure data security when users query reports online; The message board and health consultation module adopts a health risk prediction model based on logistic regression, combining the message content and physical examination report data. The model expression is: Where X is the "user health indicator feature" and y=1 indicates the presence of health risks; the prediction results are used to automatically generate targeted health suggestions and push them to users; The system management end is used by physical examination center managers to perform project maintenance, personnel management, system management, etc.

2. The time-divided physical examination reservation and management system based on intelligent optimization according to claim 1 is characterized in that: The physical examination appointment client uses WeChat public accounts and integrates health questionnaire analysis algorithms to provide physical examination users with appointment, payment, navigation, report query and other services, which basically covers all the services of the entire physical examination process before, during and after the examination; it uses natural language processing (NLP) technology to analyze health problems input by users and automatically recommend physical examination packages; The data collection and analysis module calculates the user load of each time period through a time series prediction model based on the reservation data, queuing data and physical examination reports; the expression of the model is: ARIMA or LSTM, predict the user load L in each period t , the model expression is: The ARIMA model predicts short-term load based on historical trends and is suitable for stable data; the LSTM model captures long-term dependencies and is suitable for scenarios with large load fluctuations. The prediction results provide accurate load values ​​for the period, providing a basis for dynamically adjusting signal source allocation; Based on the predicted user load and the reception capacity of the physical examination center, the system sets a basic appointment number for each time period. Combined with the content of the patient's package, the allocation of numbers for this time period is adjusted dynamically. The core of the algorithm is to analyze the possible overlap of items for patients who have made appointments for this time period, such as the extreme scenario where patients in the same time period all have color ultrasound items. By calculating the maximum reception capacity of the color ultrasound equipment in this time period, the number of appointments for the color ultrasound items in this time period is limited. At the same time, the algorithm is dynamically adjusted according to the resource usage of other items to ensure that the reception capacity of the physical examination center is maximized and the user experience is optimized under the conditions of limited equipment and personnel resources.

3. The time-divided physical examination reservation and management system based on intelligent optimization according to claim 1 is characterized in that: The physical examination appointment client uses a dynamic priority sorting algorithm to generate the optimal guidance path in real time according to the physical examination patient's appointment time, queue status and examination item location. The objective function is to minimize the user waiting time T w : where t wait (q i ) represents the waiting time in queue, t travel (p i-1 , p i ) represents the moving time between physical examination items; The physical examination reservation client is based on the physical examination reservation data D={d1, d2, ..., d n } and the physical examination center period capacity C t , use the load balancing algorithm to dynamically adjust the maximum number of reservations for each time period A t , the objective function is to minimize the period overload: Where T represents the total number of time periods, and the constraints are used to ensure that the examinees are allocated to a reasonable time period: N is the total number of reservations.

4. The time-divided physical examination reservation and management system based on intelligent optimization according to claim 1 is characterized in that: The data collection and analysis module applies the inspection resource scheduling algorithm and adopts the heuristic optimization algorithm to calculate the device availability according to the device A e , Staff Scheduling p and check project priority P c , to achieve the optimal allocation of inspection resources: Where R u Indicates resource utilization, with the goal of improving equipment utilization efficiency and reducing the waiting time for examinees; The data collection and analysis module applies the user health risk prediction model, based on the health questionnaire data and historical physical examination reports, and uses the logistic regression or support vector machine (SVM) model to predict the user's potential health risk. The model expression is: Where y = l indicates the presence of health risk, X = {x1, x2, …, x n } is the health indicator feature, β i is the model coefficient; the prediction results are used to provide health consultation and customized physical examination package recommendations. The data collection and analysis module physical examination center staff load prediction model is based on the physical examination center historical data H = {h1, h2, ..., h m }, use the time series prediction model to predict the reservation load in each future period, the model expression is: in is the predicted load of the tth period, p is the size of the historical data window, and f is the model function. The prediction results are used to dynamically adjust the period capacity and guidance plan to optimize resource allocation.

5. The time-divided physical examination reservation and management system based on intelligent optimization according to claim 2 is characterized in that: The pre-inspection services specifically include: With the help of this system, the examinee can complete all pre-examination services such as information entry, appointment, consultation, etc. online, so that the examinee can complete the physical examination as long as the appointment time is met, without running back and forth; the examinee logs in to the hospital's WeChat official account and enters personal basic information in the personal center for later push, etc.; enters the physical examination appointment menu and fills in the personal health questionnaire. The system provides a health consultation function. The relevant consultation questions raised by the user will be summarized and answered by the center staff. Typical questions and answers will be published for all users to inquire; users can choose individual and group user categories according to their own situation and complete the selection of physical examination packages; after selecting the package, they can make an appointment for the physical examination time according to their actual situation, pay the fee after the appointment is successful, and return the physical examination appointment form; The inspection services specifically include: The examinee only needs to come to the examination center before the appointment time, sign in at the self-service machine and print the examination guide sheet; the examinee completes each examination item according to the intelligent guidance and system prompts, and can check the current queue status of each examination item online. According to the examination sequence recommended by the system, the examination time can be arranged reasonably, which reduces the situation of examinees queuing blindly, speeds up the examination process, reduces the workload of manual guidance, and improves the user experience of the examination; The post-inspection services specifically include: After the physical examination is completed, the system provides an online query function for electronic reports, reducing the issuance of paper reports, which is both environmentally friendly and saves costs for the physical examination center; through the message board function provided by the system, users can consult experts online based on questions in their own reports.

6. The time-divided physical examination reservation and management system based on intelligent optimization as claimed in claim 1, characterized in that: The system management terminal provides managers with functions such as project management, shift management, basic data management, system settings, and report query.

7. The time-divided physical examination reservation and management system based on intelligent optimization as claimed in claim 1, characterized in that: The basic data management specifically includes: Maintain all inspection items provided to the outside, including basic information such as item introduction, item price, inspection location, and inspection precautions. At the same time, it is necessary to mark the items that need to be inspected and queued, and maintain the estimated inspection time of the items for the calculation of the intelligent guidance queue sequence; The shift management specifically includes: Maintain the staff's shift information, set the number of online and offline numbers, and generate a resource pool based on the shift for users to make appointments. According to the number of numbers, reasonably arrange the physical examination time for groups and units to ensure that some numbers are reserved every day for temporary physical examination personnel on site. System management: including the setting of a blacklist for missed appointments, prohibiting online appointments for people who have missed appointments many times, but not reported. Foreign studies have reported that surgeons are reluctant to report adverse events. After an adverse event occurs, clinical staff usually think that the operation has failed, and they deny their clinical skills, their own abilities, and even their career choices. At present, there are few reports of adverse medical events in my country, which is mainly related to the severe situation of the medical staff's working environment. When a serious adverse event occurs, in order to avoid responsibility and criticism, doctors are reluctant to take the initiative to report it until the patient complains or a dispute occurs. Only through identification can it be determined whether there is a clear responsibility, but solving the problem through this way cannot be understood by patients, and it also takes a lot of time for staff to deal with disputes. In order to improve the reporting of adverse events by medical staff, a non-punitive medical safety culture should be gradually established. At the same time, doctors' reporting of adverse events should be used as an indicator for department assessment, and severe penalties should be imposed on the underreporting of grade I and II serious adverse events, so as to achieve the purpose of reducing the underreporting of adverse events.

8. A method for scheduling and managing physical examinations in different time periods based on intelligent optimization based on the physical examination scheduling and management system in different time periods based on intelligent optimization as claimed in claims 1 to 7, characterized in that: The method specifically includes: S1: Intelligent package recommendation and dynamic design of time-divided number sources; 1) Smart package recommendation Based on the user's health information and the packages provided by the physical examination center, the system recommends suitable physical examination packages to users through intelligent algorithms; The recommended algorithm is implemented as follows: For individual users, the system matches the user's historical physical examination data, combines it with health risk assessment models (such as chronic disease prediction algorithms), and intelligently generates recommended packages; For group users, the system provides fixed packages or price items according to the type of physical examination contract signed by the unit, and allows personalized payment to add items; When users select a recommended package, they can manually adjust the items. The system will calculate the cost after adding or removing items in real time and update the recommendation results. 2) Dynamic design of time-divided signal source The physical examination center divides a day into KK appointment time periods. Based on historical data and shift scheduling, the maximum number of people served in each time period is estimated to be M+NM+N: MM: number of online appointment numbers; NN: number of offline manual appointment numbers; The system dynamically adjusts the number source allocation: Real-time monitoring of appointment progress and on-site personnel flow in each time period. When the actual number of people arriving for examination is lower than M+NM+N, the number of people in the last time period can be automatically released to the current time period in advance; If the number of people who make reservations in advance exceeds the estimated upper limit M+NM+N, the system will dynamically add more numbers and prompt the user to select a subsequent free time period; After the user successfully makes an appointment, the system assigns a unique physical examination number, which has a fixed generation rule and is used for physical examination, report collection and later data mining; By introducing intelligent package recommendations and dynamically adjusting number source design, users can reasonably choose physical examination items and go to the physical examination center according to the appointment time; S2: Intelligent time-slot reservation and dynamic adjustment of number sources; 1) Time-slot appointment process Users can enter the appointment interface through WeChat official account or other online platforms, enter user information and select package, and then freely choose the physical examination time: Individual users: select a reservation time period through intelligently recommended packages or custom items; Group users: Pass the unit authorization identity verification, select the adaptation package, and allow personalized project adjustments; After the reservation is successful, the system will generate a physical examination number for the user and push the physical examination instructions; the user's reservation information includes: package content, reservation time period, and precautions; 2) Dynamically adjust the number source During the reservation process, the system monitors the usage of numbers in each time period in real time: If the number of people who have made reservations for a certain time period is lower than the maximum limit M+NM+N, the system will notify users who have not made reservations to select that time period. When the number of reservations for a certain time period approaches the upper limit M+NM+N, the system dynamically releases the number of subsequent time periods, or guides users to choose other free time periods; Through time-slot reservations and dynamic adjustment of appointment numbers, the system enables efficient matching of user-on-demand reservations with physical examination center resources; S3: Intelligent guidance and shortest queuing time algorithm; 1) Check-in and queue sequence management The user signs in 30 minutes before the appointment time to receive the queue number and enter the waiting area; the system dynamically updates the inspection process based on the real-time queue data; The large screen in the waiting area displays the serial number currently being checked. The system pushes the new serial number to the large screen only after the previous batch of users have completed the inspection; 2) Check order optimization Based on the package selected by the user and the real-time queue status of each inspection item, the system generates an inspection sequence with the shortest queue time for the user; Algorithm implementation: Each inspection item is set with an estimated inspection duration TiT_i, which is dynamically updated based on historical data and actual conditions; Each project maintains a real-time queue number NiN_i, and the queue duration Qi=Ti×NiQ_i=T_i\timesN_i; The user's examination order is arranged from small to large according to QiQ_i, and a guide map with the shortest waiting time is generated; After the user completes a project, the system automatically updates the queue time QiQ_i of the remaining projects and generates a new inspection order; Data structure design: Queue: stores the queue information of each item. Each element in the queue contains: item number i, number of people in the queue N i , the checking time of a single user is T i , and the queue time Q i ; Sorting mechanism: Queues are sorted based on the queue time Q i Automatic sorting ensures that each inspection is arranged in ascending order according to the shortest waiting time; Calculation of queue time: The queue time for each item can be calculated using the following formula: Q i =T i ×N i in: T i The duration of a single inspection for the project; N i The real-time queue number for this project; Update the queue order: Initially, all items are pressed Q i , sort, generate a guide map and present it to the user; After a user completes a project, the system automatically updates the queue information for that project; Specifically, the number of people in the queue who have completed the project N i reduce; Then calculate the new queue time Q based on the new queue number i =T i ×N i ; The system presses the new Q again i Sort items and generate a new inspection order; System update steps: Initialize queue information: the number of people in queue for each item N i and single inspection time T i is entered into the system; Calculate the queue time Q i The queue time for each item is given by the formula Q i =T i ×N i Calculated; Press Q i Sorting: According to the queue time of each item Q i , the system sorts all items and generates the inspection order with the shortest queue time; Update order: After a user completes a project, the system automatically updates the number of people in the queue for that project N i , and recalculate the new queue time Q i ; Re-rank: According to the new Q i , the system reorders the items and generates a new guide map; 3) Dynamic adjustment and guidance The system supports users to skip the recommended order inspection and dynamically updates other queue data to ensure that the inspection optimization of subsequent users is not affected; The visual medical guide map is pushed in real time via mobile terminals to help users plan the medical examination process reasonably and avoid long queues for certain items.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the time-segment physical examination reservation and management method based on intelligent optimization as claimed in claim 6.

10. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the method for scheduling and managing physical examinations in different time periods based on intelligent optimization as claimed in claim 6.

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