A comprehensive hospital follow-up management system and method
By constructing a tiered follow-up framework and integrating intelligent multi-channel interaction, the problems of unclear task allocation, lack of supervision, and data fragmentation in traditional follow-up methods have been solved, achieving high efficiency, standardization, and personalization in hospital follow-up work, and improving patient experience and management level.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INNER MONGOLIA LINGJI TECHNOLOGY CO LTD
- Filing Date
- 2026-04-22
- Publication Date
- 2026-06-02
AI Technical Summary
Traditional follow-up methods suffer from problems such as unclear task allocation, lack of standardized supervision, inconsistent follow-up quality, difficulty in personalization, and data fragmentation. Existing software has failed to effectively integrate hierarchical management, AI intelligent solutions, and multi-channel interaction.
We construct a collaborative and efficient hierarchical follow-up architecture, integrating intelligent and multi-channel interaction functions, including task management, hierarchical follow-up execution, AI-generated personalized solutions, multi-channel interaction, and in-depth statistical analysis modules, to ensure a clear follow-up process, effective supervision, and personalization.
This approach has enabled efficient, standardized, and personalized follow-up work, improved patient participation and hospital management, established an effective supervision and assessment mechanism, and enhanced the efficiency and quality of follow-up work.
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Figure CN122135910A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of medical information management technology, and in particular to a comprehensive hospital follow-up management system based on the concept of hierarchical management. Background Technology
[0002] Follow-up visits are an extension of hospital medical services, crucial for tracking patient conditions, providing rehabilitation guidance, and improving patient satisfaction. However, traditional follow-up methods rely primarily on manual recording by medical staff and telephone communication, which has the following drawbacks: First, the allocation of follow-up tasks is unclear, easily leading to omissions or delays; second, the follow-up process lacks standardization and effective supervision, resulting in inconsistent follow-up quality; third, the follow-up content is limited, failing to meet the personalized needs of patients with different diseases and at different stages of rehabilitation; and finally, follow-up data is scattered, making effective aggregation and analysis difficult, and failing to provide strong support for hospital management decisions. Although some follow-up software exists, most functions are simple and fail to effectively integrate hierarchical management, AI-powered solutions, multi-channel interaction, and in-depth statistical analysis. Summary of the Invention
[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide a comprehensive hospital follow-up management system with clear processes, strong supervision, and high personalization. To achieve the above objectives, the present invention adopts the following technical solution: A comprehensive hospital follow-up management system, the core of which lies in constructing a collaborative and efficient hierarchical follow-up architecture and integrating intelligent and multi-channel interaction functions. The system mainly includes: Task Management Module: This module is the driving force behind follow-up work. Based on the hospital's established follow-up rules (such as 3 days after discharge, 7 days after discharge, etc.), it automatically creates follow-up tasks for outpatients, inpatients, and discharged patients. The system's main interface clearly displays a list of "Today's Follow-up Tasks," categorizing the tasks by patient type (outpatient, inpatient, discharged) and showing the number of tasks, allowing follow-up staff to quickly identify key tasks. Simultaneously, it prominently reminds users of "overdue follow-up tasks" that have not been processed in a timely manner, ensuring the timeliness of follow-up work. Tiered follow-up execution module: This module implements a three-tiered follow-up process with clearly defined rights and responsibilities. Level 1 follow-up: This is conducted by clinical medical staff most familiar with the patient's condition (such as the attending physician and the responsible nurse). The core content includes understanding the patient's treatment effectiveness, changes in condition, recovery progress, medication use, etc., and providing professional health education and rehabilitation guidance. The follow-up process supports written summary recordings and call recordings. Level 2 follow-up: This is conducted by an independent follow-up center and includes two aspects: first, randomly selecting patients who have completed Level 1 follow-up to conduct a satisfaction survey and collect opinions on hospital environment, medical quality, service attitude, etc.; second, evaluating and verifying the quality of Level 1 follow-up. This level of follow-up plays a supervisory and review role, bridging the gap between Level 1 and Level 2. Level 3 follow-up: This is carried out by the hospital leadership, who has the highest authority and can randomly check any Level 1 or Level 2 follow-up records, as well as evaluate and assess the work of lower-level follow-up personnel, to ensure the authenticity and effectiveness of the entire follow-up system. Treatment Plan Management Module: To enhance the relevance and effectiveness of follow-up visits, this system incorporates AI algorithms. This module intelligently generates personalized follow-up plans based on information such as the patient's disease diagnosis, disease complexity, and treatment stage. Follow-up personnel can directly access these preset plans when performing tasks, ensuring the scientific rigor and comprehensiveness of the follow-up content. Multi-channel interaction module: In order to expand the reach of follow-up visits and improve patient participation, the system integrates multiple interaction channels. Through the WeChat push module, the system can regularly push personalized health information, holiday greetings, or educational content customized according to the follow-up plan to patients. Through the satisfaction survey submodule, the system can generate anonymous questionnaire QR codes, which patients can easily scan to evaluate hospital services, ensuring the authenticity of the feedback. Through the patient feedback submodule, the system provides patients with a regular entry point for praise, complaints, and suggestions, and supports online chat, establishing a smooth channel for doctor-patient communication. Statistical Analysis Module: This module is responsible for in-depth mining and analysis of follow-up work and satisfaction survey data across the hospital. It can automatically generate statistical reports and charts for key indicators such as follow-up rates and satisfaction scores, enabling hospital administrators to clearly understand the overall service level and providing data support for continuous improvement. The beneficial effects of this invention are: This invention establishes a tiered follow-up framework, clearly defining the responsibilities of personnel at each level and forming an effective supervision and assessment mechanism. Combined with AI-generated follow-up plans, it achieves a unified approach to personalized and standardized follow-up. Integrating multiple interactive methods such as WeChat and QR codes enhances patient experience and engagement. Ultimately, systematic task management and in-depth data analysis significantly improve the efficiency, quality, and management level of hospital follow-up work, strengthening the hospital's core competitiveness. Attached Figure Description Figure 1 This is a schematic diagram of the overall module composition and data flow of the system of the present invention. Figure 2 This is a schematic diagram of the process and permission relationship of the hierarchical follow-up execution module of this invention. Figure 3 This is a schematic diagram of the interface layout of the task management module of the present invention. Detailed Implementation The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings. Example 1: refer to Figure 1 The core modules of this system include a task management module, a tiered follow-up execution module, a plan management module, a multi-channel interaction module, and a statistical analysis module. After logging into the system, users first enter the main interface of the task management module (see reference). Figure 3 The top of the interface displays "Today's Follow-up Tasks," listing the specific number of tasks for "Outpatient Follow-up," "Discharged Patient Follow-up," and "Inpatient Follow-up." A "Overdue Follow-up Tasks" reminder area may be present below. After the follow-up personnel click on a specific task, the system redirects to the follow-up execution interface. Here, they can select a personalized plan recommended by the plan management module, conduct the follow-up by phone, and record a text summary and upload the audio recording in the system. After this first-level follow-up is completed, the task status is updated, and there is a chance it will be selected by the second-level follow-up module for review. Example 2: refer to Figure 2 The system demonstrates the workflow and permissions for the three-tiered follow-up process. Level 1 follow-up personnel (clinical staff) submit the data after completing the follow-up. Level 2 follow-up personnel (follow-up center staff) can view the records submitted by Level 1 staff in the system and can select some for satisfaction verification and quality assessment. Level 3 follow-up personnel (hospital leadership) have the highest authority and can view detailed records and recordings of any Level 1 or Level 2 follow-up at any time through the "Leadership Spot Check" module, and evaluate the work of the personnel performing the follow-up. This design ensures closed-loop management and quality control of the follow-up process. The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A comprehensive hospital follow-up management system, characterized in that, include: The task management module is used to automatically generate follow-up tasks for outpatients, inpatients and discharged patients according to preset hospital follow-up rules, and to display today's follow-up task list and reminders of expired follow-up tasks to the follow-up personnel. The tiered follow-up execution module, connected to the task management module, supports at least three levels of follow-up processes: Level 1 follow-up is performed by clinical staff, focusing on disease tracking and rehabilitation guidance; Level 2 follow-up is performed by follow-up center staff, focusing on satisfaction surveys and evaluating and verifying Level 1 follow-up; Level 3 follow-up is performed by hospital leaders, used for spot checks, supervision, and assessment of lower-level follow-ups; the tiered follow-up execution module records a summary and audio recording of each follow-up session. The plan management module is used to generate personalized follow-up plans based on the patient's condition and treatment needs using AI algorithms, which can be selected and used by follow-up personnel when performing tasks.
2. The system according to claim 1, characterized in that, In the hierarchical follow-up execution module, the follow-up permissions at each level increase progressively. Level 3 follow-up permissions allow users to view and access all follow-up records and analysis reports, and to evaluate and assess lower-level follow-up personnel.
3. The system according to claim 1, characterized in that, It also includes a multi-channel interaction module, which includes: The WeChat push module is used to connect with the hospital's WeChat official account and push greetings, blessings, health science knowledge or educational materials to patients according to the follow-up plan. The satisfaction survey submodule is used to generate anonymous satisfaction survey questionnaires and corresponding QR codes for patients to scan and fill out.
4. The system according to claim 3, characterized in that, The multi-channel interaction module also includes a patient feedback sub-module, which is used to receive and manage patient praise registrations, complaint registrations, and opinion and suggestion registrations, and supports online interactive chat communication.
5. The system according to claim 1, characterized in that, It also includes a statistical analysis module, which is used to summarize and analyze the follow-up rate and satisfaction survey results of the hospital-wide follow-up data, and generate comprehensive data reports and statistical analysis charts.
6. The system according to claim 1, characterized in that, In the task management module, if the first-level follow-up task is interrupted, the system can regenerate the patient's follow-up record and assign it to the follow-up center.