一种基于大数据的门诊信息查询预约管理系统及方法
By constructing a big data-based outpatient information query and appointment management system, combined with dynamic balanced allocation and traffic prediction, the problems of uneven allocation of appointment slots and inaccurate traffic prediction have been solved, achieving accurate allocation of appointment slots and efficient utilization of resources, and improving the level of intelligence in outpatient management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SECOND MEDICAL CENT OF CHINESE PLA GENERAL HOSPITAL
- Filing Date
- 2025-11-18
- Publication Date
- 2026-07-17
AI Technical Summary
The existing outpatient information inquiry and appointment management system lacks a dynamic balancing mechanism for the allocation of appointment slots, resulting in some departments having a shortage of slots while others have idle slots. Furthermore, the outpatient traffic prediction method is too simplistic and cannot accurately predict actual demand, leading to resource waste and overcrowding.
The outpatient information query and appointment management system, based on big data, includes an outpatient information collection and processing module, a medical atlas construction and retrieval module, an appointment resource balancing allocation module, a traffic dynamic prediction module, an appointment resource flexible allocation module, and an appointment interaction management module. By constructing a medical atlas that establishes the relationship between patients, doctors, symptoms, and clinics, and combining it with a dynamic balancing allocation model and a traffic prediction and analysis platform, it achieves accurate allocation and flexible allocation of appointment resources.
It has improved the efficiency of appointment utilization, reduced patient waiting time, optimized the appointment process, realized the refinement and intelligence of outpatient management, and improved the rationality of resource allocation and service efficiency.
Smart Images
Figure CN121565407B_ABST