Intelligent doctor scheduling method, system and equipment based on clinical teaching, and medium

Abstract

The invention provides an intelligent doctor scheduling method, system and device based on clinical teaching, and a medium, and the method comprises the steps: constructing figure portrait features according to the basic information of members, wherein the figure portrait features comprise weights set according to professional and clinical diagnosis and treatment capabilities, and the members comprise superior doctors and subordinate doctors; dividing a plurality of posts according to departments and teaching requirements; collecting limiting factors and historical scheduling records of each member in the member module, and matching each member in the member module to each post and matching each student with each doctor according to figure portrait features and scheduling rules so as to determine a scheduling result. According to the invention, manpower can be reduced, highly-automatic and highly-adaptive shift arrangement is realized, energy is saved, efficiency is improved, and teaching quality is improved; the efficient arrangement, strong error correction and setting of error correction links are realized, and equal and random allocation of learning opportunities is realized; each member can be maintained, the system carries out matching and labor division on tasks according to rules, the system has perspectiveness, and repeated work is avoided.

Description

technical field [0001] The present application relates to the technical field of training set data generation, in particular to a method, system, device and medium for intelligent doctor scheduling based on clinical teaching. Background technique [0002] With the rapid development of medical care, large-scale teaching hospitals have the characteristics of combining medicine, teaching and research. The shift rotation involves: 1. The clinical work of each doctor's outpatient service and surgery; 2. The clinical practice training of medical students; 3. The training of doctors Continuing education and training work. The number of senior clinicians, medical students and fellow physicians is large, and the professional division of labor is complicated. At the same time, personnel have a certain degree of mobility. daily medical work. The essence of scheduling is a combinatorial optimization problem to meet the two-way matching needs of experts and assistants in different scen...

AI Technical Summary

Problems solved by technology

[0004] 1. The traditional scheduling method requires a lot of time and energy for the operator, and is prone to errors;

[0005] 2. The traditional scheduling method will contain subjective factors and cannot be randomized, which reduces the satisfaction of trainers;

[0006] 3. The traditional scheduling method requires the operator to have certain professional skills and knowledge reserves related to the division of labor. It is necessary to be familiar with the nature and content of the work of each member in different positions, which is irreplaceable.

Images