Intelligent appointment slot scheduling system based on remote outpatient service

By building an intelligent analysis and recommendation mechanism, the problems of low utilization rate of appointment slots and low efficiency of operation and management have been solved, achieving a balance between supply and demand for appointment slot scheduling and online registration, and improving the efficiency of remote outpatient services and the utilization rate of expert resources.

WO2026081233A1PCT designated stage Publication Date: 2026-04-23JIANGSU GAREA HEALTH TECH
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
JIANGSU GAREA HEALTH TECH
Filing Date
2024-10-21
Publication Date
2026-04-23

AI Technical Summary

Technical Problem

The existing intelligent appointment scheduling system lacks operational analysis in remote outpatient services, resulting in low appointment utilization, low operational management efficiency, and the inability to automatically adjust targeted appointments.

Method used

Build an intelligent analysis and recommendation mechanism, including historical appointment usage analysis, periodic appointment demand analysis, and daily appointment demand analysis. Combined with the needs of vertical business systems, achieve a balance between the supply and demand of appointment scheduling and appointment registration. Through the linkage of the intelligent appointment management system, recommendation system, analysis system, and adjustment system, the scheduling plan is automatically generated and adjusted.

Benefits of technology

It improves the utilization rate of appointment slots and operational management efficiency, realizes the efficient use of appointment slots, supports the efficient development of remote outpatient services, and allows administrators to quickly confirm or automatically adjust the schedule based on the intelligently recommended scheduling plan.

✦ Generated by Eureka AI based on patent content.

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Abstract

Disclosed in the present invention is an intelligent appointment slot scheduling system based on a remote outpatient service. The intelligent appointment slot scheduling system comprises a remote outpatient service management system, and the remote outpatient service management system is connected to an intelligent appointment slot management system, an intelligent outpatient appointment slot recommendation system, an intelligent outpatient appointment slot analysis system, and an intelligent outpatient appointment slot adjustment system. In the intelligent appointment slot scheduling system based on a remote outpatient service of the present invention, an intelligent remote outpatient appointment slot recommendation and adjustment mechanism is set, and an intelligent analysis and recommendation mechanism is constructed on the basis of the demands of patients in all regions for experts of all specialties, comprising analysis of historical appointment slot usage, analysis of regularly collected appointment slot demands, analysis of daily appointment slot demands, and collaborative demand analysis of a vertical service system having remote consultation demands, so as to balance the supply and demand of appointment slot arrangements and actual appointment registers as much as possible, so that remote expert resources are efficiently utilized, thereby achieving the efficient development of more and more remote outpatient services.
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Description

A smart scheduling system for appointment slots based on remote outpatient services Technical Field

[0001] This invention relates to the field of remote outpatient services technology, and in particular to an intelligent scheduling system for appointment slots based on remote outpatient services. Background Technology

[0002] The intelligent appointment scheduling system is a system for managing remote outpatient services. Appointment management is an important part of the operation of remote outpatient services. With the development of the hierarchical medical system, the volume of remote outpatient services is gradually increasing, and the demand for remote outpatient services is growing. How to collect patients' actual needs and provide patients with matching expert appointments on demand has a crucial impact on the efficiency of remote outpatient service operations. With the continuous development of technology, people's requirements for the intelligent appointment scheduling system are also getting higher and higher.

[0003] Existing intelligent appointment scheduling systems have certain drawbacks. While many vendors offer remote outpatient services, most focus on the functional operation of remote tools, lacking an operational perspective on collecting patient demand for specialist appointments and analyzing actual appointment utilization. Operations managers typically manually set specialist appointments periodically according to agreements, resulting in low appointment utilization and operational efficiency, and the systems do not support automatic adjustment of targeted appointments. To improve the scheduling efficiency of operations managers, increase the utilization rate of appointments in remote outpatient services, and enhance the overall operational efficiency of remote outpatient services, an intelligent recommendation and adjustment mechanism for remote outpatient appointments is needed. This would allow operations managers to have a basis for confirming scheduling resources and setting schedules, efficiently completing regular scheduling tasks while improving the overall utilization rate of specialist resources in remote outpatient services. Therefore, we propose an intelligent appointment scheduling system based on remote outpatient services.

[0004] Summary of the Invention

[0005] Technical Problem Solved: To address the shortcomings of existing technologies, this invention provides an intelligent scheduling system for remote outpatient services. It establishes an intelligent recommendation and adjustment mechanism for remote outpatient appointments. In the context of remote outpatient services, an intelligent analysis and recommendation mechanism is constructed based on the needs of patients in different regions for specialists in various disciplines. This includes analysis of historical appointment usage, periodically collected appointment demand analysis, daily appointment demand analysis, and demand analysis from collaborating vertical business systems with remote consultation needs. This aims to balance the supply and demand of appointment scheduling with actual appointment registration as much as possible, efficiently utilizing remote expert resources to support the increasingly efficient operation of remote outpatient services, effectively solving the problems in the background technology.

[0006] Technical Solution: To achieve the above objectives, the technical solution adopted by this invention is as follows: an intelligent scheduling system for appointment slots based on remote outpatient services, comprising a remote outpatient service management system, which is connected to an intelligent appointment slot management system, an intelligent appointment slot recommendation system, an intelligent appointment slot analysis system, and an intelligent appointment slot adjustment system. The intelligent appointment slot recommendation system is connected to an expert information disclosure module, a subject information classification module, and an appointment slot information disclosure module. The intelligent appointment slot analysis system is connected to a historical appointment slot usage analysis module, a periodic appointment slot demand analysis module, a daily appointment slot demand analysis module, and a business system demand analysis module. The intelligent appointment slot adjustment system is connected to an appointment slot reservation module, an appointment slot remaining display module, and a reservation adjustment module.

[0007] As a preferred technical solution of this application, the intelligent appointment management system includes an automatic appointment generation module, an appointment overdue reminder module, an appointment business management module, an intelligent appointment management module, a remote outpatient module, an appointment overdue reminder module, and an appointment adjustment reminder module. The intelligent appointment management module is connected to the automatic appointment generation module, the appointment overdue reminder module, the appointment business management module, the remote outpatient module, the appointment overdue reminder module, and the appointment adjustment reminder module.

[0008] As a preferred technical solution of this application, the appointment booking business management module includes a business booking module, a business generation module, an appointment list generation module, an outpatient progress query module, and a personnel information query module. The business booking module and the business generation module are connected to the appointment list generation module, and the appointment list generation module is connected to the outpatient progress query module and the personnel information query module.

[0009] As a preferred technical solution of this application, the remote outpatient business management system is bidirectionally connected to the intelligent management system for outpatient appointment resources, the intelligent recommendation system for outpatient appointment resources, the intelligent analysis system for outpatient appointment resources, and the intelligent adjustment system for outpatient appointment resources. The output terminals of the expert information disclosure module, the subject information classification module, and the appointment information disclosure module transmit data to the intelligent recommendation system for outpatient appointment resources.

[0010] As a preferred technical solution of this application, the outpatient appointment intelligent adjustment system is bidirectionally connected to the appointment reservation module, the appointment remaining display module, and the reservation adjustment module.

[0011] As a preferred technical solution of this application, the outpatient appointment resource intelligent analysis system is bidirectionally connected to the historical appointment resource usage analysis module, the regular appointment resource demand analysis module, the daily appointment resource demand analysis module, and the business system demand analysis module.

[0012] As a preferred technical solution of this application, the intelligent management module for appointment slots is bidirectionally connected to the automatic generation module for appointment slots, the pre-reminder module for overdue appointment slots, the appointment slot business management module, the remote outpatient module, the appointment slot overdue reminder module, and the appointment slot adjustment reminder module.

[0013] As a preferred technical solution of this application, the output terminals of the business appointment module and the business generation module are connected to the input terminal of the appointment list generation module, and the output terminal of the appointment list generation module is connected to the input terminals of the outpatient progress query module and the personnel information query module.

[0014] Beneficial Effects: Compared with existing technologies, this invention provides an intelligent scheduling system for remote outpatient services, which has the following beneficial effects: This intelligent scheduling system for remote outpatient services sets up an intelligent recommendation and adjustment mechanism for remote outpatient appointments. In the remote outpatient service scenario, an intelligent analysis and recommendation mechanism is constructed based on the demand of patients in various regions for experts in various disciplines. This includes analysis of historical appointment usage, analysis of regularly collected appointment demand, analysis of daily appointment demand, and demand analysis of cooperative vertical business systems with remote consultation needs. To balance the supply and demand of appointment scheduling with actual appointment registration as much as possible, and to efficiently utilize remote expert resources, this system supports the efficient development of an increasing number of remote outpatient services. Based on the historical appointment opening / appointment status of each department and the collected appointment scheduling demand, the system can generate historical appointment usage analysis reports and appointment demand analysis reports in the scheduling management department. Administrators can know the utilization rate of remote outpatient appointments and the demand of patients in various regions for doctors in different departments.

[0015] Based on analysis and personalized configurations from various experts, the system recommends regular scheduling plans to administrators. These plans include daily appointment slots and targeted remote outpatient appointment slots booked periodically by third-party vertical business systems. The recommended scheduling plans are automatically generated in the scheduling management section for confirmation by the operations administrator. Administrators can directly use the intelligently recommended scheduling plans or automatically distribute them to confirmation personnel in each institution. After confirmation by all parties, doctors who agree to the scheduling plan will automatically and quickly schedule appointments according to the confirmation results. If scheduling is impossible or times need to be adjusted, the system will automatically notify the administrator for confirmation and automatically modify the scheduling.

[0016] Based on the automatic scheduling confirmation permissions configured by the administrator for each expert, the system can intelligently adjust the expert's schedule when there is no scheduled appointment but an appointment is needed, or when remote outpatient services are involved according to the patient management plan confirmed by the expert and the third-party vertical business. The system can automatically open / cancel targeted appointment slots and notify the operations administrator. The entire intelligent appointment slot scheduling system has a simple structure, is easy to operate, and is more effective than traditional methods. Attached Figure Description

[0017] Figure 1 is a schematic diagram of the overall structure of an intelligent scheduling system for appointment slots based on remote outpatient services according to the present invention.

[0018] Figure 2 is a schematic diagram of the structure of the remote outpatient service management system in the intelligent scheduling system for remote outpatient services according to the present invention.

[0019] Figure 3 is a schematic diagram of the structure of the intelligent recommendation system for outpatient appointment slots in the intelligent scheduling system for remote outpatient services according to the present invention.

[0020] Figure 4 is a schematic diagram of the structure of the intelligent adjustment system for outpatient appointment slots in the intelligent scheduling system for remote outpatient services according to the present invention.

[0021] Figure 5 is a schematic diagram of the structure of the intelligent analysis system for outpatient appointment slots in the intelligent scheduling system for remote outpatient services according to the present invention.

[0022] Figure 6 is a schematic diagram of the structure of the intelligent management system for appointment slots in the intelligent scheduling system for remote outpatient services according to the present invention.

[0023] Figure 7 is a schematic diagram of the structure of the appointment booking management module in the intelligent scheduling system for remote outpatient services according to the present invention. Detailed Implementation

[0024] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments. However, those skilled in the art will understand that the embodiments described below are some embodiments of the present invention, but not all embodiments, and are only used to illustrate the present invention, and should not be regarded as limiting the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Where specific conditions are not specified in the embodiments, conventional conditions or conditions recommended by the manufacturer shall be followed. Where the manufacturers of reagents or instruments are not specified, they are all conventional products that can be purchased commercially.

[0025] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0026] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0027] As shown in Figure 1-7, a remote outpatient service-based intelligent appointment scheduling system includes a remote outpatient service management system. This system connects to an intelligent appointment management system, an intelligent appointment recommendation system, an intelligent appointment analysis system, and an intelligent appointment adjustment system. The intelligent appointment recommendation system is connected to an expert information disclosure module, a subject information classification module, and an appointment information disclosure module. The intelligent appointment analysis system is connected to a historical appointment usage analysis module, a periodic appointment demand analysis module, a daily appointment demand analysis module, and a business system demand analysis module. The system is equipped with modules for appointment booking, remaining appointment display, and appointment adjustment. It features an intelligent recommendation and adjustment mechanism for remote outpatient appointments. In remote outpatient scenarios, an intelligent analysis and recommendation mechanism is built to address the needs of patients in different regions for specialists in various disciplines. This includes analysis of historical appointment usage, regularly collected appointment demand data, daily appointment demand analysis, and demand analysis from collaborating vertical business systems with remote consultation needs. This aims to balance the supply and demand of appointment scheduling with actual appointment registration as much as possible, efficiently utilizing remote expert resources to support the increasingly efficient operation of remote outpatient services.

[0028] Furthermore, the intelligent appointment management system includes an automatic appointment generation module, an appointment overdue reminder module, an appointment appointment business management module, an intelligent appointment management module, a remote outpatient module, an appointment overdue reminder module, and an appointment adjustment reminder module. The intelligent appointment management module is connected to the automatic appointment generation module, the appointment overdue reminder module, the appointment appointment business management module, the remote outpatient module, the appointment overdue reminder module, and the appointment adjustment reminder module.

[0029] Furthermore, the appointment booking management module includes an appointment booking module, an appointment generation module, an appointment list generation module, an outpatient progress query module, and a personnel information query module. The appointment booking module and the appointment generation module are connected to the appointment list generation module, and the appointment list generation module is connected to the outpatient progress query module and the personnel information query module.

[0030] Furthermore, the remote outpatient business management system is bidirectionally connected with the intelligent outpatient appointment management system, the intelligent outpatient appointment recommendation system, the intelligent outpatient appointment analysis system, and the intelligent outpatient appointment adjustment system. The output terminals of the expert information disclosure module, the subject information classification module, and the appointment information disclosure module transmit data to the intelligent outpatient appointment recommendation system.

[0031] Furthermore, the outpatient appointment intelligent adjustment system is bidirectionally connected with the appointment reservation module, the appointment remaining display module, and the appointment adjustment module.

[0032] Furthermore, the outpatient appointment resource intelligent analysis system is bidirectionally connected with the historical appointment resource usage analysis module, the regular appointment resource demand analysis module, the daily appointment resource demand analysis module, and the business system demand analysis module.

[0033] Furthermore, the intelligent appointment management module is bidirectionally connected to the appointment automatic generation module, the appointment overdue reminder module, the appointment business management module, the remote outpatient module, the appointment overdue reminder module, and the appointment adjustment reminder module.

[0034] Furthermore, the output terminals of the business appointment module and the business generation module are connected to the input terminal of the appointment list generation module, and the output terminal of the appointment list generation module is connected to the input terminals of the outpatient progress query module and the personnel information query module.

[0035] A smart recommendation and adjustment mechanism for remote outpatient appointment slots is established. In remote outpatient service scenarios, an intelligent analysis and recommendation mechanism is built based on the demand for specialists in various disciplines from patients in different regions. This includes analysis of historical appointment usage, regularly collected appointment demand data, daily appointment demand analysis, and demand analysis from collaborating vertical business systems with remote consultation needs. To ensure that appointment scheduling and actual appointment registration supply and demand are balanced as much as possible, and to efficiently utilize remote expert resources to support the increasingly efficient operation of remote outpatient services, the current remote outpatient appointment slot analysis and management scenario is abstracted into three categories.

[0036] The first category is a demand analysis mechanism based on the historical usage / demand of remote outpatient appointment slots.

[0037] The second category is an intelligent recommendation mechanism for scheduling appointments at remote outpatient clinics.

[0038] The third category is an intelligent adjustment mechanism for remote outpatient appointment scheduling.

[0039] Based on the historical availability / appointment status of appointment slots in each department and the collected appointment scheduling needs, the scheduling management department can generate historical appointment usage analysis reports and appointment demand analysis reports. Administrators can know the utilization rate of remote outpatient appointment slots and the appointment slot demand of patients in different regions for doctors in different departments.

[0040] Based on analysis and personalized configurations from various experts, the system recommends regular scheduling plans to administrators. These plans include daily appointment slots and targeted remote outpatient appointment slots booked periodically by third-party vertical business systems. The recommended scheduling plans are automatically generated in the scheduling management section for confirmation by the operations administrator. Administrators can directly use the intelligently recommended scheduling plans or automatically distribute them to confirmation personnel in each institution. After confirmation by all parties, doctors who agree to the scheduling plan will automatically and quickly schedule appointments according to the confirmation results. If scheduling is impossible or times need to be adjusted, the system will automatically notify the administrator for confirmation and automatically modify the scheduling.

[0041] Based on the automatic scheduling confirmation permissions configured by the administrator for each expert, when there is no scheduled appointment but there is an appointment need, or when remote outpatient services are involved according to the patient management plan that has been confirmed by the expert and the third-party vertical business, the scheduling of experts can be intelligently adjusted, the targeted appointment resources can be automatically opened / cancelled, and the operations administrator can be notified.

[0042] It should be noted that, in this document, relational terms such as first and second (number one, number two), etc., are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0043] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A number source intelligent scheduling system based on remote outpatient service, comprising a remote outpatient service management system, characterized in that: The remote outpatient business management system connects to the intelligent appointment management system, the intelligent appointment recommendation system, the intelligent appointment analysis system, and the intelligent appointment adjustment system. The intelligent appointment recommendation system is connected to an expert information disclosure module, a subject information classification module, and an appointment information disclosure module. The intelligent appointment analysis system is connected to a historical appointment usage analysis module, a periodic appointment demand analysis module, a daily appointment demand analysis module, and a business system demand analysis module. The intelligent appointment adjustment system is connected to an appointment reservation module, an appointment remaining display module, and an appointment adjustment module.

2. The number source intelligent dispatching system based on remote outpatient service according to claim 1, characterized in that: The intelligent appointment management system includes an automatic appointment generation module, an appointment overdue reminder module, an appointment business management module, an intelligent appointment management module, a remote outpatient module, an appointment overdue reminder module, and an appointment adjustment reminder module. The intelligent appointment management module is connected to the automatic appointment generation module, the appointment overdue reminder module, the appointment business management module, the remote outpatient module, the appointment overdue reminder module, and the appointment adjustment reminder module.

3. The number source intelligent dispatching system based on remote outpatient service according to claim 2, characterized in that: The appointment booking business management module includes a business booking module, a business generation module, an appointment list generation module, an outpatient progress query module, and a personnel information query module. The business booking module and the business generation module are connected to the appointment list generation module, and the appointment list generation module is connected to the outpatient progress query module and the personnel information query module.

4. The number source intelligent dispatching system based on remote outpatient service according to claim 1, characterized in that: The remote outpatient business management system is bidirectionally connected to the intelligent outpatient appointment management system, the intelligent outpatient appointment recommendation system, the intelligent outpatient appointment analysis system, and the intelligent outpatient appointment adjustment system. The output terminals of the expert information disclosure module, the subject information classification module, and the appointment information disclosure module transmit data to the intelligent outpatient appointment recommendation system.

5. The number source intelligent dispatching system based on remote outpatient service according to claim 1, characterized in that: The outpatient appointment intelligent adjustment system is bidirectionally connected to the appointment reservation module, the appointment remaining display module, and the appointment adjustment module.

6. The number source intelligent dispatching system based on remote outpatient service according to claim 1, characterized in that: The outpatient appointment resource intelligent analysis system is bidirectionally connected to the historical appointment resource usage analysis module, the periodic appointment resource demand analysis module, the daily appointment resource demand analysis module, and the business system demand analysis module.

7. The number source intelligent dispatching system based on remote outpatient service according to claim 2, characterized in that: The intelligent appointment management module is bidirectionally connected to the appointment automatic generation module, the appointment overdue reminder module, the appointment business management module, the remote outpatient module, the appointment overdue reminder module, and the appointment adjustment reminder module.

8. The number source intelligent dispatching system based on remote outpatient service according to claim 3, characterized in that: The output terminals of the business appointment module and the business generation module are connected to the input terminal of the appointment list generation module, and the output terminal of the appointment list generation module is connected to the input terminals of the outpatient progress query module and the personnel information query module.