Integrated intelligent medical service system, method and equipment

Abstract

The invention relates to the technical field of medical services, in particular to an integrated intelligent medical service system, method and equipment. The system comprises a doctor-seeing appointment service module, a hospital guide service module, a post-diagnosis service module and a service rating module. The doctor-seeing appointment service module is used for generating doctor-seeing appointment suggestions according to doctor-seeing demands input by the patient and receiving doctor-seeing appointment information selected by the patient from the doctor-seeing appointment suggestions; the hospital guide service module is used for carrying out hospital guide on the patient based on the treatment appointment information in the treatment process of the patient and recording treatment data in the treatment process of the patient; the after-diagnosis service module is used for generating health suggestions based on the treatment data and recording feedback information of the patient for the health suggestions; and the service rating module is used for generating a rating report of the doctor seeing service for the patient based on the doctor seeing reservation information, the doctor seeing data and the feedback information, and generating an improvement strategy based on the rating report. The service quality and efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the field of medical service technology, and in particular to an integrated smart medical service system, method and equipment. Background Art

[0002] In the current medical service field, although there have been many attempts at electronicization and informatization, such as online registration systems and electronic medical record systems, these systems often operate independently and fail to form an integrated closed loop of medical services. Patients often need to switch between different platforms or systems to complete the entire process from appointment registration to medical treatment and then to post-diagnosis care, which not only increases the complexity of patients' operations, but also affects the overall efficiency and experience of medical services. Summary of the invention

[0003] In order to solve the problem of low efficiency of the existing medical service system, the present application provides an integrated intelligent medical service system, method and equipment.

[0004] In the first aspect, the present application provides an integrated smart medical service system, which adopts the following technical solutions: An integrated smart medical service system, including: a medical appointment service module, a medical guidance service module, a post-diagnosis service module and a service rating module; The medical appointment service module is used to generate medical appointment suggestions according to the medical needs input by the patient, and receive medical appointment information selected by the patient from the medical appointment suggestions; The medical guidance service module is used to guide the patient during the medical consultation process based on the medical consultation appointment information, and record the medical consultation data of the patient during the medical consultation process; The post-diagnosis service module is used to generate health advice based on the medical data and record the patient's feedback information on the health advice; The service rating module is used to generate a rating report on the medical service for the patient based on the medical appointment information, the medical data and the feedback information, and to generate an improvement strategy based on the rating report.

[0005] By adopting the above technical solution, the medical appointment service module analyzes the medical needs input by the patient to generate personalized medical appointment suggestions, reducing the time cost of patients' self-inquiry and comparison, allowing patients to choose the most suitable option from multiple appointment suggestions, and increasing patients' initiative and satisfaction in the medical process; the medical guidance service module provides patients with accurate medical guidance services based on medical appointment information, including guiding the location of departments, informing medical procedures, etc., reducing patients' time wasted due to unfamiliar environment, recording patients' medical data during the medical process, providing data support for subsequent services, and can also be used as a basis for evaluating the quality of hospital services. The post-diagnosis service module generates personalized health recommendations based on medical appointment data. It helps patients better understand their own health conditions, develop and implement health management plans, and establish continuous communication channels with patients by recording patients' feedback on health suggestions, thereby increasing patients' trust and reliance on the hospital. It integrates medical appointment information, medical data, and patient feedback information to generate comprehensive and objective medical service rating reports, providing a scientific basis for hospitals to improve their services and forming a closed-loop medical service process. From appointment services before medical treatment, to medical guidance services during the medical treatment, to health management and service evaluation after medical treatment, the integrated service model not only improves patients' medical experience, but also optimizes the hospital's service processes and resource allocation, and improves service quality and efficiency.

[0006] In a preferred example, the present application may be further configured as follows: the medical appointment service module includes a symptom analysis unit, a medical visit analysis unit and an appointment unit, and the medical visit requirements include patient symptoms and an expected medical visit time period; The symptom analysis unit is used to determine the department for consultation according to the patient's symptoms; The consultation analysis unit is used to obtain the consultation information of the doctor corresponding to the consultation department, and determine a plurality of appointment information based on the expected consultation time period and the doctor's consultation information; The reservation unit is used to sort the multiple reservable information according to the reservable time period and doctor ability information contained in each reservable information to obtain medical appointment suggestions.

[0007] By adopting the above technical solution, the symptom analysis unit can quickly and accurately determine the treatment department according to the patient's symptom description, avoiding the patient from wasting time and energy running between multiple departments due to uncertainty about the treatment department. The visit analysis unit obtains the visit information of the doctor in the treatment department and generates multiple appointment information in combination with the patient's expected visit time period, intelligently matches the doctor's visit time and the patient's expected time, which helps to reduce the patient's waiting time and meet the patient's personalized needs for visit time. The appointment unit comprehensively considers the doctor's ability information and the patient's expectations, which helps to guide the patient to a more suitable doctor, thereby improving the overall quality of medical services.

[0008] In a preferred example, the present application may be further configured as follows: the medical guidance service module includes a medical consultation reminder unit, a medical guidance unit and a medical guidance data collection unit; The medical consultation reminder unit is used to generate a departure medical consultation reminder according to the medical consultation appointment suggestion; The medical guidance unit is used to determine multiple medical treatment items according to the medical treatment appointment information after the patient arrives at the hospital, and generate a medical guidance path for the multiple medical treatment items, wherein the medical guidance path includes location information and estimated medical treatment duration of each medical treatment item; The medical guidance data collection unit is used to record the patient's medical treatment path and medical record data during the patient's medical treatment process. The medical guidance path, the medical record data and the medical treatment path constitute the medical treatment data during the patient's medical treatment process.

[0009] By adopting the above technical solution, the medical reminder unit generates a departure reminder for medical consultation according to the medical appointment suggestion, which can notify the patient of the medical consultation time in advance, reduce the patient's lateness or missed medical consultation due to forgetfulness or improper time management, thereby improving the patient's punctuality rate. The medical guidance unit can intelligently generate a medical guidance path containing multiple medical consultation item location information and estimated consultation time according to the patient's medical consultation appointment information, which can help patients quickly find the medical consultation location, reduce blind searching and waiting time in the hospital, and improve medical consultation efficiency. The medical guidance data collection unit records the medical consultation path and medical record data in real time during the patient's medical consultation process, which provides an important reference for the patient's subsequent treatment and also provides data support for the hospital's service quality evaluation.

[0010] In a preferred example, the present application can be further configured as follows: the post-diagnosis service module is used to generate health advice with time information according to the medical record data, and send the health advice to the patient's terminal device based on the time information.

[0011] By adopting the above technical solution, the post-diagnosis service module can generate personalized health advice based on the patient's specific condition and health status by analyzing the patient's medical record data. The health advice combined with the real-time information can provide reminders when the patient needs it most, such as medication time, follow-up time, diet adjustment, etc. The timed reminder service enhances the practicality and effectiveness of health advice and helps patients better implement health management plans.

[0012] In a preferred example, the present application may be further configured as follows: the service rating module includes an appointment analysis unit, a medical consultation analysis unit, a feedback analysis unit, and a comprehensive analysis unit; The appointment analysis unit is used to generate a score for the medical appointment service according to the arrangement order of the medical appointment information in the medical appointment suggestion; The medical consultation analysis unit is used to compare the medical guidance path with the medical consultation path to obtain a medical guidance service score; The feedback analysis unit is used to generate a post-diagnosis service score according to the feedback information; The comprehensive analysis unit is used to generate a smart medical service score and a rating report based on the medical appointment service score, the medical guidance service score and the post-diagnosis service score.

[0013] By adopting the above technical solutions, based on the three links of appointment analysis, medical analysis and feedback analysis, the service rating module can objectively and comprehensively evaluate each link of smart medical services, reduce the interference of subjective judgment, and realize the refined evaluation of service quality.

[0014] In a preferred example, the present application can be further configured as follows: the comprehensive analysis unit is also used to receive patient self-ratings and third-party ratings for medical appointment services, medical guide services and post-diagnosis services, and to update the smart medical service ratings based on the self-ratings and the third-party ratings.

[0015] By adopting the above-mentioned technical solution and incorporating patient self-ratings and third-party ratings, the comprehensive analysis unit can collect more diversified evaluation information. As direct users of services, patients' self-ratings can truly reflect their service experience; while third-party ratings provide more objective evaluations from a professional perspective.

[0016] In a preferred example, the present application may be further configured as follows: the system further includes a personnel management module; The personnel management module is used to determine the personnel identity information of the logged-in user, and determine the corresponding data access rights according to the personnel identity information, and record the user's operation information after the user successfully logs in.

[0017] By adopting the above technical solution, the personnel management module ensures that only authorized users can access the system by determining the personal identity information of the logged-in user, effectively preventing unauthorized access and ensuring the security of the system. According to the personal identity information of different users, corresponding data access rights are allocated. The permission control mechanism ensures that sensitive data will not be accessed by unauthorized users, further enhancing the security of the system.

[0018] In a preferred example, the present application may be further configured as follows: the system further includes a security protection module; The security protection module is used to divide the accessible network into multiple micro-segments, mark the user's dangerous operations based on the micro-segments corresponding to the operation information and the data access permissions, and dynamically adjust the data access permissions based on the dangerous operations.

[0019] By adopting the above technical solutions, the security protection module significantly improves the system's network security, security protection capabilities, stability and reliability through micro-segment division, real-time dangerous operation monitoring, dynamic permission adjustment, policy optimization and other functions, providing the hospital with a safer, more reliable and efficient smart medical service system.

[0020] In the second aspect, the present application provides an integrated smart medical service method, which adopts the following technical solutions: An integrated smart medical service method, including: Generate a consultation appointment suggestion according to the consultation demand input by the patient, and receive the consultation appointment information selected by the patient from the consultation appointment suggestion; During the patient's consultation, guiding the patient based on the consultation appointment information, and recording the patient's consultation data during the consultation; Generate health advice based on the medical consultation data, and record the patient's feedback information on the health advice; A rating report of the medical service for the patient is generated based on the medical appointment information, the medical data and the feedback information, and an improvement strategy is generated based on the rating report.

[0021] In a third aspect, the present application provides a computer program product, which adopts the following technical solution: A computer program product includes a computer program. When the computer program is executed by a processor, it implements the integrated intelligent medical service method as described in the second aspect.

[0022] In a fourth aspect, the present application provides an electronic device, which adopts the following technical solution: one or more processors; Memory; At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the integrated smart medical service method as described in the second aspect.

[0023] In a fifth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute the integrated intelligent medical service method as described in the second aspect.

[0024] In summary, this application includes the following beneficial technical effects: This application generates personalized appointment suggestions for medical consultations by analyzing the medical consultation needs input by the patient through the appointment service module, reducing the time cost of patients' self-inquiry and comparison, allowing patients to choose the most suitable option from multiple appointment suggestions, and increasing patients' initiative and satisfaction in the medical consultation process; the guidance service module provides patients with accurate guidance services based on the appointment information for medical consultations, including guiding the location of departments, informing the medical consultation process, etc., reducing patients' time wasted due to unfamiliarity with the environment, recording the medical consultation data of patients during the medical consultation process, providing data support for subsequent services, and also serving as a basis for evaluating the quality of hospital services; the post-diagnosis service module generates personalized health suggestions based on the medical consultation data to help Help patients better understand their own health conditions, develop and implement health management plans, establish continuous communication channels with patients by recording their feedback on health advice, improve patients' trust and reliance on the hospital, and integrate medical appointment information, medical data and patient feedback information to generate comprehensive and objective medical service rating reports, providing a scientific basis for hospitals to improve their services and forming a closed-loop medical service process. From appointment services before the visit, to guide services during the visit, to health management and service evaluation after the visit, the integrated service model not only improves patients' medical experience, but also optimizes the hospital's service processes and resource allocation, and improves service quality and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a structural diagram of an integrated smart medical service system provided in an embodiment of the present application; Figure 2 It is a flowchart of an integrated smart medical service method provided by an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The following is combined with Figure 1 -Attached Figure 3 This application is described in further detail.

[0027] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make modifications to the present embodiment without any creative contribution as needed, but such modifications are protected by the patent law as long as they are within the scope of the claims of the present application.

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0029] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0030] It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the embodiments of the present application involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained. The embodiments also need to be implemented with the authorization and consent of the object.

[0031] The present application embodiment provides an integrated smart medical service system, such as Figure 1 As shown, the system includes a medical appointment service module, a medical guidance service module, a post-diagnosis service module and a service rating module.

[0032] The medical appointment service module is used to generate medical appointment suggestions based on the medical needs input by the patient, and receive the medical appointment information selected by the patient from the medical appointment suggestions.

[0033] Specifically, patients can input their medical needs, including symptom descriptions and expected medical time periods, through mobile applications or web pages on terminal devices (such as mobile phones). The appointment service module matches the disease type and the corresponding medical department based on the symptom description, and then matches the doctor's visit information corresponding to the medical department with the patient's expected medical time period, and generates a medical appointment suggestion containing multiple appointment information, which is displayed on the interactive interface for patients to choose independently. The appointment information includes an appointment time period and an appointment doctor. At the same time, the interface displays the personal information of the appointment doctor (doctor's name, professional title, length of practice, field of expertise, etc.). The patient selects an appointment information from the appointment suggestion, and the appointment module automatically makes an appointment for the patient based on the appointment information, and uses the appointment information as the patient's appointment information.

[0034] The medical guidance service module is used to guide patients based on medical appointment information during the patient's medical treatment process and record the patient's medical treatment data during the medical treatment process.

[0035] Specifically, the medical guidance service module determines multiple medical treatment items based on the patient's medical appointment information, and sorts them according to the logical relationship between the multiple medical treatment items (such as payment before medication, and payment items before medication window items), and generates a medical guidance path based on the location information of the sorted multiple medical treatment items. The obtained medical guidance path is then transmitted to the interactive interface of the patient's terminal device to provide guidance for the patient's medical treatment process. During the patient's medical treatment process, the medical guidance service module obtains the actual medical treatment path and medical record data in real time. The medical guidance path, medical record data and medical treatment path constitute the patient's medical treatment data.

[0036] The post-diagnosis service module is used to generate health advice based on the medical data and record the patient's feedback on the health advice.

[0037] Specifically, the post-diagnosis service module can generate health advice with time information based on the medical record data after the patient's visit, and send the health advice to the patient's terminal device in a timely manner based on the time information. For example, the patient can be reminded to return for a follow-up visit after a period of time. The feedback information includes whether the patient adopts the health advice and how effective it is.

[0038] The service rating module is used to generate a rating report on the patient's medical services based on the medical appointment information, medical data and feedback information, and to generate an improvement strategy based on the rating report.

[0039] Specifically, the smart medical service score is calculated and a rating report is generated by combining medical appointment information, medical data and feedback information. The rating report includes scores for medical appointment services, medical guidance services, and post-diagnosis services respectively. The low-scoring items in the rating report are analyzed, and improvement strategies are generated based on the analysis results, such as optimizing appointment algorithms, improving medical guidance paths, and improving the quality of health advice.

[0040] The embodiment of the present application analyzes the medical treatment needs input by the patient through the medical treatment appointment service module to generate personalized medical treatment appointment suggestions, thereby reducing the time cost of patients' self-inquiry and comparison, allowing patients to choose the option that best suits them from multiple appointment suggestions, and increasing the patient's initiative and satisfaction in the medical treatment process; the medical guidance service module provides patients with accurate medical guidance services based on the medical appointment information, including guiding the location of the department, informing the medical treatment process, etc., reducing the time wasted by patients due to unfamiliarity with the environment, recording the medical treatment data of the patient during the medical treatment process, providing data support for subsequent services, and can also be used as a basis for evaluating the service quality of the hospital; the post-diagnosis service module generates personalized health suggestions based on the medical treatment data , help patients better understand their own health conditions, develop and implement health management plans, establish continuous communication channels with patients by recording patients' feedback on health advice, improve patients' trust and reliance on hospitals, and integrate medical appointment information, medical data and patient feedback information to generate comprehensive and objective medical service rating reports, providing a scientific basis for hospitals to improve services and forming a closed-loop medical service process, from appointment services before consultation, to guide services during the consultation, to health management and service evaluation after consultation. The integrated service model not only improves patients' medical experience, but also optimizes the hospital's service processes and resource allocation, and improves service quality and efficiency.

[0041] In a possible implementation of the embodiment of the present application, the medical appointment service module includes a symptom analysis unit, a medical visit analysis unit and an appointment unit, and the medical visit requirements include the patient's symptoms and the expected medical visit time period; Symptom analysis unit, used to determine the department to be consulted based on the patient's symptoms; A consultation analysis unit, used to obtain the consultation information of the doctor corresponding to the consultation department, and determine multiple appointment information based on the expected consultation time period and the doctor's consultation information; The reservation unit is used to sort the multiple reservable information according to the reservable time period and doctor ability information contained in each reservable information, and obtain the medical appointment suggestion.

[0042] In this embodiment, the consultation reservation module can be started first to record necessary configuration information, including hospital department information, doctor information, doctor scheduling information, etc. The patient's consultation request is received through the interactive interface of the patient terminal device, including the patient's symptom description and the expected consultation time period.

[0043] The symptom analysis unit can use natural language processing technology to parse the patient's symptom description, extract key symptom information, and then search for matching treatment departments in the preset department and symptom mapping table based on the parsed symptom information, and use the matched department as the patient's target treatment department.

[0044] The outpatient analysis unit accesses the hospital information system to obtain the outpatient information of all doctors in the patient's outpatient department, including the doctor's name, title, field of expertise, daily outpatient time period, etc. According to the patient's expected outpatient time period, screen out the doctors who have outpatient arrangements within that time period. Generate appointment information for each screened doctor, and an appointment information includes an appointment time period and an appointment doctor. For example, 10:00-12:00 in the morning is the time period when a doctor is not scheduled, and a patient can make an appointment for 30 minutes. The appointment time periods include: 10:00-10:30, 10:30-11:00, 11:00-11:30, 11:30-12:00, and the doctor can generate 4 appointment information during the period of 10:00-12:00.

[0045] The reservation unit retrieves the doctor's ability information, including professional title and years of work experience. For any doctor, the doctor's ability information can be represented as an ability index for the doctor based on the professional title and years of work experience. Optionally, a professional title index can be set for each professional title in advance, and the sum of the professional title index and years of work experience of the doctor is used as the ability index. For the available time period of the available information, a corresponding time index can be generated based on the early and late time period of the available time period. Optionally, each available information is sorted from early to late according to the available time period, and the order of each available information in the sorting result and the total number of available information are determined, and the difference between the total number and the order is used as the time index of the corresponding available information.

[0046] After determining the time index corresponding to the bookable time period and the capability index corresponding to the doctor's capability information, the sum of the time index and capability index of each bookable information is calculated, and the sums are sorted from large to small. The obtained sequence is used as the medical appointment suggestion.

[0047] In the embodiment of the present application, the symptom analysis unit quickly and accurately determines the treatment department according to the patient's symptom description, thereby avoiding the patient wasting time and energy running between multiple departments due to uncertainty about the treatment department. The visit analysis unit obtains the visit information of the doctor in the treatment department and generates multiple appointment information in combination with the patient's expected visit time period, and intelligently matches the doctor's visit time with the patient's expected time, which helps to reduce the patient's waiting time and meets the patient's personalized needs for the visit time. The appointment unit comprehensively considers the doctor's ability information and the patient's expectations, which helps to guide the patient to a more suitable doctor, thereby improving the overall quality of medical services.

[0048] In a possible implementation of the embodiment of the present application, the medical guidance service module includes a medical consultation reminder unit, a medical guidance unit and a medical guidance data collection unit; A medical appointment reminder unit, used to generate a departure medical appointment reminder based on the medical appointment suggestion; A medical guidance unit, which is used to determine multiple medical treatment items according to the medical appointment information after the patient arrives at the hospital, and generate a medical guidance path for the multiple medical treatment items, the medical guidance path including the location information and estimated medical treatment duration of each medical treatment item; The guidance data collection unit is used to record the patient's treatment path and medical record data during the patient's treatment process. The guidance path, medical record data and treatment path constitute the patient's treatment data during the treatment process.

[0049] In this embodiment, the medical appointment reminder unit generates a departure appointment reminder based on the patient's location information and the medical appointment time period recommended by the medical appointment. The departure appointment reminder can be given twice, one day before the medical appointment time period and the other on the medical appointment time period. This embodiment does not make any specific limitations.

[0050] The guidance unit obtains multiple medical items corresponding to the medical appointment information from the hospital data information database. The hospital data information database pre-stores medical items corresponding to each medical department with a logical relationship of sequence. For example, for a surgical outpatient clinic, you need to first go to the registration office to register, then go to the surgical outpatient clinic for treatment, go to the payment office to pay after the treatment, and then go to the medicine pick-up office to pick up the medicine. The guidance unit determines the corresponding multiple medical items based on the patient's medical appointment information, and determines the location information of each medical item in combination with the hospital map data. The estimated duration of each medical item is estimated based on the queuing situation at each medical item. For medical items that do not have a sequence, they can be sorted from short to long according to the estimated duration, and finally a guidance path including the order of treatment is obtained. The guidance path can be displayed through the patient's terminal device.

[0051] The medical guidance data collection unit tracks and records the actual medical treatment path during the patient's medical treatment process. After each medical treatment item is completed, the doctor enters the medical record data into the system. The medical guidance data collection unit automatically associates the medical record data, the medical guidance path and the medical treatment path and stores them in the medical treatment data.

[0052] In the embodiment of the present application, the medical consultation reminder unit generates a departure medical consultation reminder based on the medical consultation appointment suggestion, which can notify the patient of the medical consultation time in advance, reduce the patient's lateness or missed medical consultation due to forgetfulness or improper time management, thereby improving the patient's punctuality rate. The medical consultation guide unit can intelligently generate a medical consultation route containing location information of multiple medical consultation items and estimated consultation time based on the patient's medical consultation appointment information, which can help the patient quickly find the medical consultation location, reduce blind searching and waiting time in the hospital, and improve medical consultation efficiency. The medical consultation guide data collection unit records the medical consultation route and medical record data in real time during the patient's medical consultation process, which provides an important reference for the patient's subsequent treatment and also provides data support for the hospital's service quality evaluation.

[0053] A possible implementation method of an embodiment of the present application is a post-diagnosis service module, which is used to generate health advice with time information based on medical record data, and send the health advice to the patient's terminal device based on the time information.

[0054] In this embodiment, the post-diagnosis service module obtains the patient's medical record data, including diagnosis results, treatment plans, doctor's orders and medication information, etc. A series of health advice templates can be pre-set, covering health guidance content for different diseases and different treatment stages. The post-diagnosis service module matches the most suitable health advice template according to the patient's medical record data. The matching process can be achieved through natural language processing and machine learning algorithms to obtain health advice after the medical record data and the health advice template are matched.

[0055] The post-consultation service module in the embodiment of the present application can generate personalized health advice based on the patient's specific condition and health status by analyzing the patient's medical record data. The health advice combined with time information can provide reminders when the patient needs it most, such as medication time, follow-up time, diet adjustment, etc. The timed reminder service enhances the practicality and effectiveness of health advice and helps patients better implement health management plans.

[0056] In a possible implementation of the embodiment of the present application, the service rating module includes an appointment analysis unit, a medical consultation analysis unit, a feedback analysis unit, and a comprehensive analysis unit; An appointment analysis unit, used to generate a score for the appointment service according to the order in which the appointment information is arranged in the appointment suggestion; A medical consultation analysis unit is used to compare the medical consultation path with the medical consultation path to obtain a medical consultation service score; A feedback analysis unit, used to generate a post-diagnosis service score based on feedback information; The comprehensive analysis unit is used to generate smart medical service scores and rating reports based on the medical appointment service scores, medical guide service scores and post-diagnosis service scores.

[0057] In this embodiment, the appointment analysis unit obtains the patient's appointment information, represents the number of times the appointment information is arranged in the appointment suggestion as a, represents the number of appointment information that can be booked in the appointment suggestion as n, and uses the calculation result of (na) / n×100 as the appointment service score. Among them, the order of arrangement in the appointment suggestion indicates the degree of recommended appointment, and the higher the order, the higher the recommendation. If the patient chooses the first place in the appointment suggestion, it means that the first appointment information recommended in this embodiment is the most suitable for the patient's needs, and the corresponding appointment service score is higher. The range of (na) / n is 0-1, and the appointment service score is expressed in percent, and the appointment service score is mapped to the range of 0-100.

[0058] The medical consultation analysis unit obtains the medical guidance path and the medical consultation path, and then calculates the difference between the medical guidance path and the medical consultation path, and maps the obtained difference to 0-100 as the medical guidance service score. The optional path difference calculation method is a graph matching algorithm (such as subgraph isomorphism).

[0059] The feedback analysis unit obtains feedback information, which includes the patient's feedback on the health advice. The number of advice in the health advice is represented by m, and the number of health advices executed by the patient in the feedback information is represented by b. The result of b / m×100 is calculated as the post-diagnosis service score. If the patient executes all the health advice, b / m is 1, and the post-diagnosis service score is 100.

[0060] The comprehensive analysis unit summarizes the score of the appointment service, the guide service and the post-diagnosis service, and performs weighted summation. The specific weight value can be flexibly set according to actual needs, and this embodiment does not specifically limit it. The weighted summation result is used as the smart medical score. The rating report includes the source, calculation method and result analysis of each score.

[0061] The embodiment of the present application is based on three aspects: appointment analysis, medical analysis and feedback analysis. The service rating module can objectively and comprehensively evaluate each aspect of smart medical services, reduce the interference of subjective judgment, and achieve a refined evaluation of service quality.

[0062] In a possible implementation of an embodiment of the present application, the comprehensive analysis unit is also used to receive patient self-ratings and third-party ratings for medical appointment services, medical guide services, and post-diagnosis services, and to update the smart medical service ratings based on the self-ratings and third-party ratings.

[0063] In this embodiment, an interactive interface can be developed to allow patients to rate and provide feedback on the service after completing the appointment, consultation and post-consultation services. For each link, the rating can include multiple dimensions, such as service attitude, efficiency, professionalism, environmental comfort, etc. Different weights can be set for each dimension, and the weights of each dimension are weighted and summed to obtain the patient's self-rating for each link. The third-party rating can be the rating of each link by three-party professionals.

[0064] For any link in the medical appointment service, medical guide service and post-diagnosis service, the score obtained by the comprehensive analysis unit is used as the initial score, that is, the medical appointment service corresponds to the initial medical appointment service score, the medical guide service corresponds to the initial medical guide service score, and the post-diagnosis service corresponds to the initial post-diagnosis service score. For any link, the comprehensive analysis unit performs a weighted summation of the patient's self-score, third-party score and initial score of the link to obtain the service score of the link. Then, the weighted summation of the service scores corresponding to the medical appointment service, medical guide service and post-diagnosis service is performed to obtain the updated smart medical service score.

[0065] By incorporating patient self-ratings and third-party ratings, the comprehensive analysis unit of the embodiment of the present application can collect more diversified evaluation information. As direct users of services, patients' self-ratings can truly reflect their service experience; while third-party ratings provide more objective evaluations from a professional perspective.

[0066] In a possible implementation of the embodiment of the present application, the system further includes a personnel management module; The personnel management module is used to determine the personal identity information of the logged-in user and determine the corresponding data access rights based on the personal identity information. After the user logs in successfully, the user's operation information is recorded.

[0067] In this embodiment, the hospital system provides a user registration function. The user fills in basic information and sets a login password. The system ensures the authenticity of the registration information through a verification mechanism (such as email verification, SMS verification code, etc.). After verification, the user's basic information is stored in the database and a unique user ID is assigned to each user. Data access rights for different personnel identities are pre-defined. The rights can be specific to functional modules, data tables, and data rows. User identities include doctors, nurses, administrators, patients, etc. Each identity corresponds to a specific set of permissions. When the user logs in, the corresponding data access rights are retrieved. For any data, if the user has access rights, the access operation is allowed. If the user does not have access rights, the access request is rejected, and each access operation is recorded.

[0068] In the embodiment of the present application, the personnel management module determines the personal identity information of the logged-in user to ensure that only authorized users can access the system, effectively preventing unauthorized access and ensuring the security of the system. According to the personal identity information of different users, corresponding data access rights are allocated. The permission control mechanism ensures that sensitive data will not be accessed by unauthorized users, further enhancing the security of the system.

[0069] In a possible implementation of the embodiment of the present application, the system further includes a security protection module; The security protection module is used to divide the accessible network into multiple micro-segments, mark the user's dangerous operations based on the micro-segments and data access permissions corresponding to the operation information, and dynamically adjust the data access permissions based on the dangerous operations.

[0070] In this embodiment, according to business needs and security policies, the accessible network is divided into multiple logical or physical micro-segments (such as intranet, extranet, database area, Web service area, etc.), and network equipment and firewall rules are configured to ensure that the communication between different micro-segments is strictly controlled and the necessary isolation is achieved. , a unique identifier is assigned to each micro-segment, and a mapping relationship between the micro-segment and the specific network resources (such as server, database, application, etc.) is established in the system. The user's operation information in the network is collected in real time through a log agent, Syslog server or other log collection tool. The collected operation information is parsed to extract key fields such as operation time, operation type, operation object, user identity, etc. According to the IP address or other identifier of the operation object, the operation information is associated with the corresponding network micro-segment. A set of dangerous operation rules are pre-defined, which are formulated based on multiple factors such as operation type, time, frequency, context, etc. The parsed operation information is matched with the dangerous operation rules to determine whether the user has performed a dangerous operation. The successfully matched dangerous operations are marked and detailed information is recorded, including operation details, occurrence time, involved data, etc. The user's data access rights are dynamically adjusted. For example, if a user frequently performs dangerous operations, their permission level can be temporarily reduced or their access to sensitive data can be restricted. After the permission is adjusted, a notification is sent to the user, explaining the reason and deadline for the permission change. At the same time, user feedback can also be collected to optimize the permission management strategy later.

[0071] The security protection module in the embodiment of the present application significantly improves the system's network security, security protection capabilities, stability and reliability through functions such as micro-segment division, real-time dangerous operation monitoring, dynamic permission adjustment, and policy optimization, providing the hospital with a safer, more reliable and efficient smart medical service system.

[0072] The present application embodiment provides an integrated smart medical service method, such as Figure 2 As shown, the method provided in the embodiment of the present application is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. The method includes steps S201 to S204, wherein: S201. Generate a medical appointment suggestion according to the medical treatment needs input by the patient, and receive the medical appointment information selected by the patient from the medical appointment suggestions.

[0073] S202: During the patient's consultation, the patient is guided based on the consultation appointment information, and the consultation data of the patient is recorded.

[0074] S203: Generate health advice based on the medical consultation data, and record the patient's feedback on the health advice.

[0075] S204: Generate a rating report on the medical service for the patient based on the medical appointment information, medical data and feedback information, and generate an improvement strategy based on the rating report.

[0076] An embodiment of the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, the contents shown in the aforementioned integrated smart medical service method embodiment are implemented.

[0077] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0078] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0079] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0080] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0081] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the embodiment of the aforementioned integrated smart medical service method.

[0082] Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0083] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the contents shown in the aforementioned integrated smart medical service method embodiment.

[0084] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0085] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An integrated intelligent medical service system, characterized in that: include: Medical appointment service module, medical guidance service module, post-diagnosis service module and service rating module; The medical appointment service module is used to generate medical appointment suggestions according to the medical needs input by the patient, and receive medical appointment information selected by the patient from the medical appointment suggestions; The medical guidance service module is used to guide the patient during the medical consultation process based on the medical consultation appointment information, and record the medical consultation data of the patient during the medical consultation process; The post-diagnosis service module is used to generate health advice based on the medical data and record the patient's feedback information on the health advice; The service rating module is used to generate a rating report on the medical service for the patient based on the medical appointment information, the medical data and the feedback information, and to generate an improvement strategy based on the rating report.

2. The integrated intelligent medical service system according to claim 1, characterized in that: The medical appointment service module includes a symptom analysis unit, a medical visit analysis unit and an appointment unit, and the medical visit requirements include the patient's symptoms and the expected medical visit time period; The symptom analysis unit is used to determine the department for consultation according to the patient's symptoms; The consultation analysis unit is used to obtain the consultation information of the doctor corresponding to the consultation department, and determine a plurality of appointment information based on the expected consultation time period and the doctor's consultation information; The reservation unit is used to sort the multiple reservable information according to the reservable time period and doctor ability information contained in each reservable information to obtain medical appointment suggestions.

3. The integrated intelligent medical service system according to claim 1, characterized in that: The medical guidance service module includes a medical consultation reminder unit, a medical guidance unit and a medical guidance data collection unit; The medical consultation reminder unit is used to generate a departure medical consultation reminder according to the medical consultation appointment suggestion; The medical guidance unit is used to determine multiple medical treatment items according to the medical treatment appointment information after the patient arrives at the hospital, and generate a medical guidance path for the multiple medical treatment items, wherein the medical guidance path includes location information and estimated medical treatment duration of each medical treatment item; The medical guidance data collection unit is used to record the patient's medical treatment path and medical record data during the patient's medical treatment process. The medical guidance path, the medical record data and the medical treatment path constitute the medical treatment data during the patient's medical treatment process.

4. The integrated intelligent medical service system according to claim 3 is characterized in that: The post-diagnosis service module is used to generate health advice with time information according to the medical record data, and send the health advice to the patient's terminal device based on the time information.

5. The integrated intelligent medical service system according to claim 3 is characterized in that: The service rating module includes an appointment analysis unit, a medical consultation analysis unit, a feedback analysis unit, and a comprehensive analysis unit; The appointment analysis unit is used to generate a score for the medical appointment service according to the arrangement order of the medical appointment information in the medical appointment suggestion; The medical consultation analysis unit is used to compare the medical guidance path with the medical consultation path to obtain a medical guidance service score; The feedback analysis unit is used to generate a post-diagnosis service score according to the feedback information; The comprehensive analysis unit is used to generate a smart medical service score and a rating report based on the medical appointment service score, the medical guidance service score and the post-diagnosis service score.

6. The integrated intelligent medical service system according to claim 5, characterized in that: The comprehensive analysis unit is also used to receive patient self-ratings and third-party ratings for medical appointment services, medical guidance services and post-diagnosis services, and update the smart medical service ratings based on the self-ratings and the third-party ratings.

7. The integrated intelligent medical service system according to claim 1, characterized in that: The system also includes a personnel management module; The personnel management module is used to determine the personnel identity information of the logged-in user, and determine the corresponding data access rights according to the personnel identity information, and record the user's operation information after the user successfully logs in.

8. The integrated intelligent medical service system according to claim 7, characterized in that: The system also includes a safety protection module; The security protection module is used to divide the accessible network into multiple micro-segments, mark the user's dangerous operations based on the micro-segments corresponding to the operation information and the data access permissions, and dynamically adjust the data access permissions based on the dangerous operations.

9. An integrated intelligent medical service method, characterized in that: include: Generate a consultation appointment suggestion according to the consultation demand input by the patient, and receive the consultation appointment information selected by the patient from the consultation appointment suggestion; During the patient's consultation, guiding the patient based on the consultation appointment information, and recording the patient's consultation data during the consultation; Generate health advice based on the medical consultation data, and record the patient's feedback information on the health advice; A rating report of the medical service for the patient is generated based on the medical appointment information, the medical data and the feedback information, and an improvement strategy is generated based on the rating report.

10. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the integrated smart medical service method described in claim 9.

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