CN117954065A

CN117954065A - Appointment method, appointment device, appointment equipment and appointment medium

Info

Publication number: CN117954065A
Application number: CN202410184309.4A
Authority: CN
Inventors: 吴俊宏
Original assignee: Zhejiang Yuantu Technology Co ltd
Current assignee: Zhejiang Yuantu Technology Co ltd
Priority date: 2024-02-19
Filing date: 2024-02-19
Publication date: 2024-04-30

Abstract

The present application relates to the field of medical services, and in particular, to a method, apparatus, device, and medium for appointment of a doctor. The method comprises the following steps: determining a consulting room according to the symptom information, and determining a plurality of selectable doctors and reserved time periods and consultation experience information corresponding to the selectable doctors respectively according to the position information and the consulting room; determining a plurality of time periods from the plurality of reserved time periods according to the idle time periods of the doctor and the plurality of reserved time periods corresponding to the plurality of selectable doctors; determining a recommendation index of a target time period according to the position information of the doctor, the doctor-seeing experience information of the optional doctor corresponding to the target time period and the position information of the hospital; and generating a appointment list of the doctor according to the recommendation indexes corresponding to the time periods. The application can provide more convenient, accurate and personalized service for the doctor, thereby improving the overall efficiency and quality of medical service.

Description

Appointment method, appointment device, appointment equipment and appointment medium

Technical Field

The application relates to the technical field of medical services, in particular to a method, a device, equipment and a medium for appointment of a doctor.

Background

The clinic appointment mode in the related art is usually carried out through WeChat public numbers or small programs, and in the process, the doctor needs to autonomously select a hospital, a doctor and a time period to make appointment. However, when a doctor judges a doctor room requiring reservation, there is a possibility that the judgment is inaccurate because the doctor often lacks specialized medical knowledge. Furthermore, the consultants may not know the specific condition of the individual doctors, which may lead them to select unsuitable doctors, thereby affecting the efficiency of the consultation.

Disclosure of Invention

The application provides a appointment method, a device, equipment and a medium for solving the problem of low appointment efficiency of an appointment made by an appointment person autonomously in the prior art.

In a first aspect, the present application provides a appointment method for a doctor, which adopts the following technical scheme:

A appointment method comprising:

Acquiring symptom information, idle time period and position information of a patient;

Determining a consulting room according to the symptom information, and determining a plurality of selectable doctors and reserved time periods and consultation experience information corresponding to the selectable doctors according to the position information and the consulting room;

Determining a plurality of time periods from the reserved time periods according to the idle time period of the doctor and the reserved time periods corresponding to the selectable doctors;

Determining optional doctors, hospitals and position information of the hospitals corresponding to a target time period, and determining a recommendation index of the target time period according to the position information of the doctor, the doctor seeing experience information of the optional doctors corresponding to the target time period and the position information of the hospitals, wherein the target time period is any one of the time periods;

And generating a diagnosis reservation list of the doctor according to the recommendation indexes corresponding to the time periods, so that the doctor can complete the diagnosis reservation through the diagnosis reservation list, and the diagnosis reservation list comprises optional doctors and hospitals corresponding to each time period.

By adopting the technical scheme, the symptom information, the idle time period and the position information of the doctor are acquired, the doctor room is determined according to the symptom information, the selection error of the doctor due to unfamiliar medical system is avoided, and the doctor accuracy is improved; determining a plurality of selectable doctors and appointment time periods and consultation experience information according to the position information and the consulting room, so that a doctor can select proper doctors and time periods; according to the idle time period and a plurality of reserved time periods of the doctor, a plurality of time periods are determined, so that the recommended time period is matched with the idle time of the doctor, and the success rate of reservation and the convenience of doctor are improved; according to the position information of the doctor, the doctor-seeing experience information and the position information of the hospital, a comprehensive recommendation index is determined for the target time period, so that the doctor can know the advantages and the disadvantages of each time period more clearly, a doctor-seeing reservation list is provided for the doctor based on the recommendation index, the doctor can complete reservation rapidly, user experience is improved, and more convenient, accurate and personalized service is provided for the doctor, so that the overall efficiency and the quality of medical service are improved.

The present application may be further configured in a preferred example to: determining a recommendation index of the target time period according to the position information of the doctor, the doctor-seeing experience information of the optional doctor corresponding to the target time period and the position information of the hospital, wherein the recommendation index comprises the following steps:

determining a shortest path from the location information of the consultant to the location information of the hospital, and determining a distance recommendation index of the target time period according to the length of the shortest path;

determining experience recommendation indexes of the target time period according to the diagnosis experience information of the optional doctor corresponding to the target time period;

and generating a recommendation index of the target time period according to the distance recommendation index and the experience recommendation index of the target time period.

By adopting the technical scheme, the recommended index based on the distance can be provided for the doctor by calculating the shortest path between the doctor and the hospital, and the short distance means that the doctor can arrive at the hospital more quickly, so that the time and the traffic cost are saved; considering doctor's seeing experience information can provide more specialized and high-quality medical services for the doctor, and the doctor can know the specialized level and experience of the optional doctor more clearly by determining experience recommendation indexes for the doctor's seeing experience information; the comprehensive consideration of the distance and the experience of doctors can provide a comprehensive and comprehensive recommendation index for the doctor, and two key factors of actual accessibility and medical service quality are combined, so that the doctor can evaluate and select the reservation time period which is most suitable for the doctor in multiple dimensions.

The present application may be further configured in a preferred example to: determining a consulting room from the symptom information, comprising:

Determining a first disease type of the patient based on the symptom information and a medical knowledge network;

acquiring a plurality of historical visit data of the visit person, wherein the plurality of historical visit data comprise historical symptoms and historical illness types corresponding to each visit;

Matching the symptom information with each historical symptom, determining the matching degree of the symptom information and each historical symptom, determining the historical symptom with the matching degree larger than a preset matching degree threshold value from a plurality of historical symptoms as a target historical symptom, and determining the disease type corresponding to the target historical symptom as a second disease type;

Judging whether the first disease type and the second disease type have coincident disease types or not;

if the symptom information of the patient does not exist, acquiring updated symptom information again, updating the first disease type according to the updated symptom information and the medical knowledge network, and judging whether the updated first disease type and the updated second disease type exist coincident disease types or not;

if so, determining a diagnosis room according to the coincidence disease type.

By adopting the technical scheme, the first disease type conforming to the symptom information is determined according to the symptom information and the medical knowledge network, the historical diagnosis data and the symptom information are matched, the second disease type is determined, the current symptom information and the historical symptom information of the person who is in the diagnosis are comprehensively considered, the accuracy of determining the disease type is improved, the coincidence disease type of the first disease type and the second disease type is determined, and the accuracy of determining the diagnosis room according to the coincidence disease type is improved.

The present application may be further configured in a preferred example to: the visit experience information includes operational years and historical visit data,

Determining an experience recommendation index of the target time period according to the visit experience information of the optional doctor corresponding to the target time period, wherein the experience recommendation index comprises the following steps:

Determining a first tested recommendation index according to the working years of the optional doctors corresponding to the target time period;

determining the times of the selectable doctors corresponding to the target time period for treating the diseased type of the doctor from the historical doctor watching data of the selectable doctors corresponding to the target time period, and determining a second experience recommendation index according to the times of the doctor watching;

and generating an experience recommendation index of the target time period according to the first experience recommendation index and the second experience recommendation index.

By adopting the technical scheme, the service life of a doctor can reflect the professional experience and stability of the doctor, and the first recommendation index is determined by the service life, so that the experiential evaluation based on experience can be provided for a doctor; the historical visit data can reflect the treatment experience and effect of doctors on specific diseases or symptoms, and a second experience recommendation index based on actual case treatment experience can be provided for the consultant by calculating the visit times of the treatment of the disease types by the selectable doctors corresponding to the target time period; the service life and the historical diagnosis data are comprehensively considered, so that a more comprehensive and objective experience recommendation index can be provided for the doctor, and the accuracy of medical service recommendation is improved.

The present application may be further configured in a preferred example to: generating a recommendation index of the target time period according to the distance recommendation index and the experience recommendation index of the target time period, wherein the recommendation index comprises the following steps:

Generating an initial recommendation index of the target time period according to the distance recommendation index and the experience recommendation index of the target time period;

Acquiring reservation information of an associated consulting room corresponding to the target time period, wherein the associated consulting room is a consulting room which is in the same hospital as the consulting room and corresponds to the same charge and medicine taking window, and the reservation information is reservation times of coincidence between the reservation time period of the associated consulting room and the target time period;

Determining a reservation recommendation index of the target time period according to the reservation times corresponding to the associated consulting room corresponding to the target time period;

and generating a recommendation index of the target time period according to the initial recommendation index and the reservation recommendation index.

By adopting the technical scheme, comprehensive and comprehensive initial recommendation indexes can be provided for the doctor by comprehensively considering the distance and the experience of the doctor, so that the doctor can evaluate and select the reservation time period which is most suitable for the doctor in multiple dimensions; the appointment information of the relevant consulting room is acquired, the busyness of the hospital and the selection condition of other patients in the target time period can be known, the appointment times can reflect the welcome degree of the target time period and the busyness of the hospital, the appointment recommendation index is determined according to the appointment times, and the evaluation based on the actual appointment condition can be provided for the consultant; the initial recommendation index and the reservation recommendation index are comprehensively considered, so that the service quality of doctors and hospitals is considered, the actual accessibility and the busyness of the hospitals are considered, and the comprehensiveness and the accuracy of determining the recommendation index of the target time period are improved.

The present application may be further configured in a preferred example to: determining a reservation recommendation index of the target time period according to the reservation times corresponding to the associated consulting room corresponding to the target time period, wherein the reservation recommendation index comprises the following steps:

Determining the maximum value of the reservation times from the reservation times of the associated consulting rooms corresponding to the time periods respectively;

Determining a frequency adjustment proportion according to the maximum value of the reserved frequency and a preset threshold value;

the reservation times corresponding to the time periods are adjusted according to the time adjustment proportion, so that the reservation times corresponding to the adjusted time periods are not larger than the preset threshold value;

And taking the reservation times corresponding to the adjusted target time period as reservation recommendation indexes of the target time period.

By adopting the technical scheme, the frequency adjustment proportion is determined according to the reservation frequency adjustment proportion and the preset threshold value, so that the preset frequency corresponding to each adjusted time period is in a reasonable range, and the accuracy of the reservation recommendation index is improved.

The present application may be further configured in a preferred example to: the method further comprises the steps of:

Receiving appointment information of a doctor, wherein the appointment information comprises doctors and hospitals corresponding to a time period selected by the doctor;

acquiring the doctor's office position corresponding to the time period selected by the doctor;

Generating a diagnosis route for the doctor according to the position information of the doctor, the position of a doctor's consulting room and the position of a hospital corresponding to the time period selected by the doctor, so that the doctor can make a diagnosis according to the diagnosis route.

By adopting the technical scheme, the route to the target consulting room is generated for the consultant by combining the position of the consultant and the position information of the doctor and the hospital, so that the consultant can accurately reach the target consulting room according to the generated route, and the time cost and the traffic cost are saved.

In a second aspect, the present application provides a appointment apparatus, which adopts the following technical scheme:

A appointment making apparatus, comprising:

The acquisition module is used for acquiring symptom information, idle time period and position information of the doctor;

The first determining module is used for determining a consulting room according to the symptom information, and determining a plurality of selectable doctors and reserved time periods and consultation experience information corresponding to the selectable doctors respectively according to the position information and the consulting room;

The second determining module is used for determining a plurality of time periods from the reserved time periods according to the idle time period of the doctor and the reserved time periods corresponding to the selectable doctors;

A third determining module, configured to determine optional doctors, hospitals and location information of the hospitals corresponding to a target time period, and determine a recommendation index of the target time period according to the location information of the doctor, the experience information of the optional doctors corresponding to the target time period, and the location information of the hospitals, where the target time period is any one of the time periods;

The generation module is used for generating a appointment list of the doctor according to the recommendation indexes corresponding to the time periods, so that the doctor can complete appointment through the appointment list, and the appointment list comprises optional doctors and hospitals corresponding to each time period.

In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:

one or more processors;

A memory;

at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a appointment method of any of the first aspects is performed.

In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:

A computer readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the appointment method of any of the first aspects.

In summary, the application has the following beneficial technical effects:

according to the application, the symptom information, the idle time period and the position information of the doctor are acquired, and the doctor room is determined according to the symptom information, so that the selection error of the doctor due to unfamiliar medical system is avoided, and the doctor accuracy is improved; determining a plurality of selectable doctors and appointment time periods and consultation experience information according to the position information and the consulting room, so that a doctor can select proper doctors and time periods; according to the idle time period and a plurality of reserved time periods of the doctor, a plurality of time periods are determined, so that the recommended time period is matched with the idle time of the doctor, and the success rate of reservation and the convenience of doctor are improved; according to the position information of the doctor, the doctor-seeing experience information and the position information of the hospital, a comprehensive recommendation index is determined for the target time period, so that the doctor can know the advantages and the disadvantages of each time period more clearly, a doctor-seeing reservation list is provided for the doctor based on the recommendation index, the doctor can complete reservation rapidly, user experience is improved, and more convenient, accurate and personalized service is provided for the doctor, so that the overall efficiency and the quality of medical service are improved.

Drawings

Fig. 1 is a schematic flow chart of a appointment method for diagnosis according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a doctor appointment apparatus according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The present application will be described in further detail with reference to fig. 1 to 3.

The present embodiment is only for explanation of the present application and is not to be construed as limiting the present application, and modifications to the present embodiment, which may not creatively contribute to the present application as required by those skilled in the art after reading the present specification, are all protected by patent laws within the scope of claims of the present application.

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.

The embodiment of the application provides a appointment method, as shown in fig. 1, wherein the method provided in the embodiment of the application is executed by an electronic device, and the electronic device can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, which is not limited herein, and the method includes steps S101-S105, wherein:

s101, symptom information, idle time period and position information of the consultant are acquired.

In this embodiment, the electronic device acquires symptom information, idle period, and location information input by the doctor, where the symptom information may include a primary symptom and a secondary symptom, and the doctor may determine the primary symptom and the secondary symptom according to own feeling.

S102, determining a consulting room according to the symptom information, and determining a plurality of optional doctors and reserved time periods and consultation experience information corresponding to the plurality of optional doctors according to the position information and the consulting room.

In this embodiment, the disease type of the patient can be determined according to the symptom information and the medical knowledge network, specifically, the medical knowledge network is a medical knowledge base and knowledge service platform based on the internet and artificial intelligence technology, and a structured medical knowledge network is constructed by collecting, sorting and integrating a great deal of medical knowledge such as medical documents, clinical practices and expert experiences, and the medical knowledge network can be matched with disease symptoms in the database according to the symptom information provided by the patient through natural language processing and semantic analysis technology to determine the disease type of the patient. Furthermore, the doctor room corresponding to the disease type can be determined according to a preset corresponding relation, and the preset corresponding relation can be preset according to expert experience and stored in a database to represent the corresponding relation between the disease type and the doctor room.

The database stores the position information of each hospital in the region where the doctor is located, and the consulting room, the appointment time period and the consultation experience information corresponding to each doctor in each hospital. After determining the consulting room, a plurality of doctors meeting the conditions can be determined according to the position information of the consultant and the determined consulting room, wherein the conditions include: the position of the hospital where the optional doctor is located is within a preset range around the doctor, and the type of the doctor room where the optional doctor is located is the same as the type of the doctor room where the doctor is located, which is determined according to symptom information, and the preset range can be input by the doctor according to actual requirements, so that the recommended hospital where the optional doctor is located can be conveniently reached by the doctor. After determining a plurality of optional doctors, the appointment time period and the examination experience information corresponding to each doctor can be determined from the database, and one doctor can be one or more appointment time periods.

S103, determining a plurality of time periods from the reserved time periods according to the idle time period of the doctor and the reserved time periods corresponding to the selectable doctors.

In this embodiment, each of the plurality of reservable time periods corresponds to one selectable doctor, there may be a case where two or more reserved time periods overlap in the plurality of reservable time periods, and the two or more reserved time periods may correspond to the same doctor, and from the plurality of reserved time periods corresponding to the plurality of selectable doctors, a plurality of reserved time periods that are completely included in the idle time period of the doctor are determined as a plurality of time periods.

S104, determining the position information of the optional doctor, the hospital and the hospital corresponding to the target time period, and determining the recommended index of the target time period according to the position information of the doctor, the doctor seeing experience information of the optional doctor corresponding to the target time period and the position information of the hospital, wherein the target time period is any one of a plurality of time periods.

In this embodiment, according to the location information of the patient and the location information of the hospital corresponding to the target time period, the distance between the patient and the shortest path between the patient and the hospital can be determined, and according to the obtained distance, the distance recommendation index of the target time period can be determined; according to the visit experience information of the selectable doctors corresponding to the target time period, the experience recommendation index of the target time period can be determined, and according to the distance recommendation index and the experience recommendation index of the target time period, the recommendation index of the target time period can be obtained.

S105, generating a appointment list of the doctor according to the recommendation indexes corresponding to the time periods, so that the doctor can finish appointment through the appointment list, and the appointment list comprises optional doctors and hospitals corresponding to the time periods.

In this embodiment, the time periods may be ordered according to the order of the recommendation indexes from large to small, so as to obtain a appointment list of the doctor, where each time period in the appointment list corresponds to an optional doctor and a hospital in which the optional doctor is located.

According to the embodiment of the application, the symptom information, the idle time period and the position information of the doctor are acquired, and the doctor room is determined according to the symptom information, so that the selection error of the doctor due to unfamiliar medical system is avoided, and the doctor accuracy is improved; determining a plurality of selectable doctors and appointment time periods and consultation experience information according to the position information and the consulting room, so that a doctor can select proper doctors and time periods; according to the idle time period and a plurality of reserved time periods of the doctor, a plurality of time periods are determined, so that the recommended time period is matched with the idle time of the doctor, and the success rate of reservation and the convenience of doctor are improved; according to the position information of the doctor, the doctor-seeing experience information and the position information of the hospital, a comprehensive recommendation index is determined for the target time period, so that the doctor can know the advantages and the disadvantages of each time period more clearly, a doctor-seeing reservation list is provided for the doctor based on the recommendation index, the doctor can complete reservation rapidly, user experience is improved, and more convenient, accurate and personalized service is provided for the doctor, so that the overall efficiency and the quality of medical service are improved.

According to a possible implementation manner of the embodiment of the present application, determining a recommendation index of a target time period according to position information of a doctor, doctor-seeing experience information of an optional doctor corresponding to the target time period, and position information of a hospital, includes:

Determining a shortest path from the position information of the patient to the position information of the hospital, and determining a distance recommendation index of the target time period according to the length of the shortest path;

Determining experience recommendation indexes of the target time period according to the diagnosis-looking experience information of the selectable doctors corresponding to the target time period;

In this embodiment, optional doctors and hospitals corresponding to each of the time periods are determined, and the shortest path from the position information of the doctor to the position information of each hospital is determined, so that the shortest path and the lengths of the shortest paths corresponding to each of the time periods are obtained. Further, the length maximum value may be determined from a plurality of lengths, the length adjustment proportion may be determined according to the length maximum value and a preset threshold, and then the lengths corresponding to the time periods may be adjusted according to the length adjustment proportion, so that the lengths corresponding to the adjusted time periods are not greater than the preset threshold, where the preset threshold may be set according to actual requirements, and optionally, the preset threshold may be 10. Specifically, the ratio of the maximum value of the length to the preset threshold value can be calculated, the obtained ratio is used as a length adjustment ratio, then the ratio of each length in the plurality of lengths to the length adjustment ratio is calculated, the ratio is used as a distance recommendation index, and the distance recommendation index corresponding to each of the plurality of time periods is obtained.

Further, the experience recommendation index can be determined according to the visit experience information of the optional doctor corresponding to the target time period, and the sum of the distance recommendation index and the experience recommendation index of the target time period is used as the recommendation index of the target time period.

According to the embodiment of the application, the shortest path between the doctor and the hospital is calculated, so that a recommendation index based on the distance can be provided for the doctor, and the short distance means that the doctor can arrive at the hospital more quickly, thereby saving time and traffic cost; considering doctor's seeing experience information can provide more specialized and high-quality medical services for the doctor, and the doctor can know the specialized level and experience of the optional doctor more clearly by determining experience recommendation indexes for the doctor's seeing experience information; the comprehensive consideration of the distance and the experience of doctors can provide a comprehensive and comprehensive recommendation index for the doctor, and two key factors of actual accessibility and medical service quality are combined, so that the doctor can evaluate and select the reservation time period which is most suitable for the doctor in multiple dimensions.

One possible implementation manner of the embodiment of the present application, determining a consulting room according to symptom information includes:

determining a first disease type of the patient based on the symptom information and the medical knowledge network;

acquiring a plurality of historical visit data of a visit person, wherein the plurality of historical visit data comprise historical symptoms and historical illness types corresponding to each visit;

judging whether the first disease type and the second disease type are coincident disease types or not;

If the disease type does not exist, acquiring symptom information of the patient again to obtain updated symptom information, updating the first disease type according to the updated symptom information and the medical knowledge network, and judging whether the updated first disease type and the updated second disease type exist coincident disease types or not;

if so, the consulting room is determined according to the coincidence disease type.

In this embodiment, the medical knowledge network may analyze the main symptoms in the symptom information of the patient to obtain the first disease type of the patient, where the main symptoms of the patient may be one or more, and the number of the first disease types may be one or more. Any one of a plurality of historical visit data of a visit person is taken as target historical visit data, the target historical data comprises initial historical symptoms and target historical illness types, the initial historical symptoms can be one or more, and the number of the target historical illness types is one.

Further, it is determined whether there is a coincidence of the principal symptom and the initial history symptom of the person in visit.

In a possible case, if the main symptoms and the initial history symptoms of the doctor do not have coincident symptoms, judging whether the symptom information and the initial history symptoms of the doctor have coincident symptoms, if the symptom information and the initial history symptoms of the doctor do not have coincident symptoms, analyzing the symptom information of the doctor through a medical knowledge network to obtain target disease types of the doctor, wherein the number of the target disease types is one, determining a doctor room corresponding to the target disease types according to a preset disease type corresponding relation, and the preset disease type corresponding relation can be set according to actual experience to represent the corresponding relation between the disease types and the doctor room.

In another possible case, if the principal symptom and the initial history symptom of the patient have coincident symptoms, determining the coincident number of the coincident symptoms and the total number after the principal symptom and the initial history symptom are de-duplicated, calculating the ratio of the coincident number to the total number, and taking the ratio as the matching degree of the symptom information and the initial history symptom. Illustratively, the principal symptoms of the consultant are: 1.2, A, B, initial history symptoms are: 1. 3, a, 4,5, the coincidence symptoms are: 1. a, the coincidence number of the coincidence symptoms is 2, the sum of the main symptoms and the initial history symptoms is 9, the total number after the duplication removal of the main symptoms and the initial history symptoms is 9-2=7, the ratio of 2 to 7 is 2/7, namely, the matching degree of the symptom information and the initial history symptoms is 2/7. The preset matching degree threshold may be set according to actual experience, and the embodiment is not particularly limited.

After the matching degree of the symptom information and each historical symptom is determined, historical symptoms with the matching degree larger than a preset matching degree threshold value are determined from a plurality of historical symptoms to serve as target historical symptoms, the number of the target historical symptoms is one or more, a second disease type corresponding to the target historical symptoms is determined according to a preset disease type corresponding relation, and whether the first disease type and the second disease type are coincident disease types or not is judged.

In one possible case, if the first disease type and the second disease type have coincident disease types, determining the number of the coincident disease types, if the number of the coincident disease types is one, determining the coincident disease type as a target disease type, and determining a diagnosis room corresponding to the target disease type according to a preset disease type corresponding relation; if the number of the coincident sickness types is not one, determining the coincident sickness type with the highest matching degree as the target sickness type, and determining a diagnosis room corresponding to the target sickness type according to the preset sickness type corresponding relation. In another possible case, if the first disease type and the second disease type do not have the coincident disease type, analyzing the main symptoms and the secondary symptoms in the symptom information of the patient through a medical knowledge network to obtain an updated first disease type, judging whether the updated first disease type and the updated second disease type have the coincident disease type, if the coincident disease type exists, determining a target disease type from the coincident disease types according to the possible case, and determining a diagnosis room corresponding to the target disease type according to a preset disease type corresponding relation; if the coincident disease types do not exist, symptom information of the doctor can be analyzed through a medical knowledge network, the obtained target disease types of the doctor are one, and a consulting room corresponding to the target disease types is determined according to a preset disease type corresponding relation.

According to the embodiment of the application, the first disease type conforming to the symptom information is determined according to the symptom information and the medical knowledge network, the historical diagnosis data and the symptom information are matched, the second disease type is determined, the current symptom information and the historical symptom information of the person to be diagnosed are comprehensively considered, the accuracy of determining the disease type is improved, the coincidence disease type of the first disease type and the second disease type is determined, and the accuracy of determining the diagnosis room according to the coincidence disease type is improved.

In one possible implementation of the embodiment of the present application, the visit experience information includes operational years and historical visit data,

Determining an experience recommendation index of the target time period according to the visit experience information of the selectable doctor corresponding to the target time period, wherein the experience recommendation index comprises the following steps:

Determining a first tested recommendation index according to the working years of the selectable doctors corresponding to the target time period;

Determining the times of the selectable doctors corresponding to the target time period for treating the diseased types in the historical visit data of the selectable doctors corresponding to the target time period, and determining a second experience recommendation index according to the times of the visit;

And generating an empirical recommendation index of the target time period according to the first empirical recommendation index and the second empirical recommendation index.

In this embodiment, the visit experience information of the optional doctor corresponding to each of the plurality of time periods is obtained, the visit experience information includes a working period and historical visit data, a working period maximum value is determined from the working periods of the optional doctor corresponding to each of the plurality of time periods, a working period adjustment proportion is determined according to the working period maximum value and a preset threshold, and the working periods corresponding to each of the plurality of time periods are adjusted according to the working period adjustment proportion, so that the working periods corresponding to each of the adjusted time periods are not greater than the preset threshold. Specifically, the ratio of the maximum working period to the preset threshold can be calculated, the obtained ratio is used as a working period adjustment ratio, then the ratio of each working period in a plurality of working periods to the working period adjustment ratio is calculated, the ratio is used as a first tested recommendation index, and therefore the first tested recommendation index corresponding to each of a plurality of time periods is obtained.

Further, from the historical visit data of the selectable doctors corresponding to the time periods, the number of times of the selectable doctors corresponding to the time periods for treating the diseased types corresponding to the consultants can be determined, and the number of times of the visits corresponding to the time periods can be obtained. Determining the maximum value of the times of the doctor to be seen from the times of the doctor to be seen, determining the adjustment proportion of the times of the doctor to be seen according to the maximum value of the times of the doctor to be seen and the preset threshold value, and adjusting the times of the doctor to be seen, which corresponds to the time periods, according to the adjustment proportion of the times of the doctor to be seen, so that the times of the doctor to be seen, which corresponds to the adjusted time periods, are not greater than the preset threshold value. Specifically, the ratio of the maximum value of the number of times of the consultation to the preset threshold value can be calculated, the obtained ratio is used as the adjustment ratio of the number of times of the consultation, then the ratio of each of the number of times of the consultation and the adjustment ratio of the number of times of the consultation is calculated, and the ratio is used as the second experience recommendation index, so that the second experience recommendation index corresponding to each of the time periods is obtained. The sum of the first empirical recommendation index and the second empirical recommendation index corresponding to the target time period may be taken as the empirical recommendation index of the target time period.

The working life of the traditional Chinese medicine in the embodiment of the application can reflect the professional experience and stability, and the first recommendation index is determined through the working life, so that the professional evaluation based on experience can be provided for the doctor; the historical visit data can reflect the treatment experience and effect of doctors on specific diseases or symptoms, and a second experience recommendation index based on actual case treatment experience can be provided for the consultant by calculating the visit times of the treatment of the disease types by the selectable doctors corresponding to the target time period; the service life and the historical diagnosis data are comprehensively considered, so that a more comprehensive and objective experience recommendation index can be provided for the doctor, and the accuracy of medical service recommendation is improved.

According to a possible implementation manner of the embodiment of the present application, generating a recommendation index of a target time period according to a distance recommendation index and an experience recommendation index of the target time period includes:

Acquiring reservation information of an associated consulting room corresponding to a target time period, wherein the associated consulting room is a consulting room which is in the same hospital as the consulting room and corresponds to the same charge and medicine taking window, and the reservation information is reservation times of coincidence of the reservation time period of the associated consulting room and the target time period;

determining reservation recommendation indexes of the target time period according to the reservation times corresponding to the associated consulting rooms corresponding to the target time period;

In this embodiment, the sum of the distance recommendation index and the experience recommendation index of the target period may be calculated, and the obtained sum is taken as the initial recommendation index of the target period. Further, the corresponding relation between the consulting room and the charge medicine taking window can be determined and stored in the database, optionally, if the position of the charge medicine taking window of the outpatient department of the consulting room in the target time period is set in the first floor, the consulting room of the outpatient department except the consulting room corresponding to the target time period can be determined as the associated consulting room; if each floor of the clinic where the clinic corresponding to the target time period is provided with a charging and medicine taking window, the clinics except the clinic corresponding to the target time period in the floor where the clinic corresponding to the target time period in the clinic is located can be determined as the associated clinic.

Further, the reservation time period of each associated consulting room and the reservation times corresponding to each reservation time period are obtained, whether each reservation time period is overlapped with the target time period or not is judged, the reservation time period overlapped with the target time period is determined from the reservation time periods of the associated consulting rooms, and the sum of the reservation times corresponding to the reservation time periods overlapped with the target time period is taken as reservation information of the target time period. Determining the maximum value of the reservation times from reservation information corresponding to each of a plurality of time periods, determining the reservation times adjustment proportion according to the maximum value of the reservation times and a preset threshold value, and adjusting the reservation times corresponding to each of the plurality of time periods according to the reservation times adjustment proportion so that the reservation times corresponding to each of the plurality of adjusted time periods is not greater than the preset threshold value. Specifically, the ratio of the maximum value of the reserved times to the preset threshold value can be calculated, the obtained ratio is used as the reserved times adjustment ratio, then the ratio of each reserved time in a plurality of reserved times to the reserved times adjustment ratio is calculated, the ratio is used as the reserved recommendation index, and the reserved recommendation index corresponding to each time period is obtained. The sum of the initial recommendation index and the reservation recommendation index corresponding to the target time period may be taken as the recommendation index of the target time period.

According to the embodiment of the application, the comprehensive consideration of the distance and the experience of doctors can provide comprehensive and comprehensive initial recommendation indexes for the doctor, so that the doctor can evaluate and select the reservation time period most suitable for the doctor in multiple dimensions; the appointment information of the relevant consulting room is acquired, the busyness of the hospital and the selection condition of other patients in the target time period can be known, the appointment times can reflect the welcome degree of the target time period and the busyness of the hospital, the appointment recommendation index is determined according to the appointment times, and the evaluation based on the actual appointment condition can be provided for the consultant; the initial recommendation index and the reservation recommendation index are comprehensively considered, so that the service quality of doctors and hospitals is considered, the actual accessibility and the busyness of the hospitals are considered, and the comprehensiveness and the accuracy of determining the recommendation index of the target time period are improved.

According to a possible implementation manner of the embodiment of the present application, determining a reservation recommendation index of a target time period according to a reservation number corresponding to an associated consulting room corresponding to the target time period includes:

The reservation times corresponding to the time periods are adjusted according to the time adjustment proportion, so that the reservation times corresponding to the adjusted time periods are not larger than a preset threshold value;

According to the method and the device for determining the preset time adjustment ratio, the time adjustment ratio is determined according to the preset time adjustment ratio and the preset threshold value, so that the preset times corresponding to the adjusted time periods are in a reasonable range, and the accuracy of the preset recommendation index is improved.

One possible implementation manner of the embodiment of the present application, the method further includes:

Acquiring a doctor's office position corresponding to a time period selected by a doctor;

Generating a diagnosis route for the doctor according to the position information of the doctor, the position of the doctor's consulting room and the position of the hospital corresponding to the time period selected by the doctor, so that the doctor can make a diagnosis according to the diagnosis route.

In this embodiment, the electronic device sends a appointment list to a terminal of the doctor and receives appointment information of the doctor.

The embodiment of the application combines the position information of the doctor and the hospital, and generates the route for the doctor to reach the target consulting room, so that the doctor can accurately reach the target consulting room according to the generated route, and the time cost and the traffic cost are saved.

The above embodiment describes a doctor appointment method from the aspect of a method flow, and the following embodiment describes a doctor appointment device from the aspect of a virtual module or a virtual unit, and the following embodiment is described in detail.

An embodiment of the present application provides a appointment apparatus, as shown in fig. 2, the apparatus may include:

an acquisition module 201, configured to acquire symptom information, an idle time period, and location information of a doctor person;

a first determining module 202, configured to determine a consulting room according to the symptom information, and determine a plurality of optional doctors and appointment time periods and consultation experience information corresponding to the plurality of optional doctors according to the location information and the consulting room;

A second determining module 203, configured to determine a plurality of time periods from the plurality of time periods capable of being reserved according to the idle time period of the doctor and the plurality of time periods capable of being reserved corresponding to the plurality of optional doctors;

A third determining module 204, configured to determine optional doctor, hospital and location information of the hospital corresponding to the target time period, and determine a recommendation index of the target time period according to the location information of the doctor, the doctor-seeing experience information of the optional doctor corresponding to the target time period and the location information of the hospital, where the target time period is any one of a plurality of time periods;

The generating module 205 is configured to generate a appointment list of the doctor according to the recommendation indexes corresponding to the time periods, so that the doctor can complete the appointment through the appointment list, and the appointment list includes the optional doctor and the hospital corresponding to each time period.

The present application may be further configured in a preferred example to: the third determining module 204 is specifically configured to, when executing determining the recommendation index of the target time period according to the location information of the patient, the visit experience information of the optional doctor corresponding to the target time period, and the location information of the hospital:

The present application may be further configured in a preferred example to: the first determining module 202 is specifically configured to, when executing determining a consulting room based on symptom information:

The present application may be further configured in a preferred example to: the third determining module 204 is specifically configured to, when executing determining the empirical recommendation index of the target time period according to the visit experience information of the optional doctor corresponding to the target time period:

The present application may be further configured in a preferred example to: the third determining module 204 is specifically configured to, when executing the generating of the recommendation index for the target time period according to the distance recommendation index and the experience recommendation index for the target time period:

The present application may be further configured in a preferred example to: the third determining module 204 is specifically configured to, when executing the determining of the reservation recommendation index of the target time period according to the reservation times corresponding to the associated consulting room corresponding to the target time period:

The present application may be further configured in a preferred example to: the device also comprises a route generation module, which is specifically used for:

The appointment device for diagnosis and appointment provided by the embodiment of the application is applicable to the above method embodiment and will not be described herein.

In an embodiment of the present application, as shown in fig. 3, an electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 is not limited to the embodiment of the present application.

The Processor 301 may be a CPU (Central Processing Unit ), general purpose Processor, DSP (DIGITAL SIGNAL Processor, data signal Processor), ASIC (Application SPECIFIC INTEGRATED Circuit), FPGA (Field Programmable GATE ARRAY ) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (PERIPHERAL COMPONENT INTERCONNECT, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or type of bus.

The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (ELECTRICALLY ERASABLE PROGRAMMABLE READ ONLY MEMORY ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

The memory 303 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what has been described above for the embodiment of the appointment method.

The electronic device shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the application.

Embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations should and are intended to be comprehended within the scope of the present application.

Claims

1. A appointment method, comprising:

2. The appointment method of claim 1, wherein determining the recommendation index of the target time period based on the location information of the appointment person, the visit experience information of the optional doctor corresponding to the target time period, and the location information of the hospital comprises:

3. The visit reservation method of claim 2, wherein determining a consulting room based on the symptom information comprises:

if so, determining a diagnosis room according to the coincidence disease type.

4. The appointment method of claim 3 wherein the visit experience information comprises operational years and historical visit data,

5. The appointment method of claim 2, wherein generating the recommendation index for the target time period based on the distance recommendation index and the experience recommendation index for the target time period comprises:

6. The method of claim 5, wherein determining the appointment recommendation index for the target time period based on the number of appointments corresponding to the associated consulting room corresponding to the target time period comprises:

7. The appointment method of claim 1 wherein the method further comprises:

8. A doctor-seeing appointment apparatus, comprising:

9. An electronic device, comprising:

At least one processor;

A memory;

at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: performing the appointment method of any one of claims 1-7.

10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed in a computer, causes the computer to perform the appointment method of any of claims 1-7.