Medical institution performance management method and system based on neural network model, and storage medium

Through the performance management method based on neural network model, the problem of lack of systematicity and automation of performance management systems in medical institutions is solved, and the high accuracy, objectivity and automation of performance evaluation are achieved, and the management level and sustainable development capabilities of medical institutions are improved.

CN119692856AActive Publication Date: 2025-03-25THE FIRST AFFILIATED HOSPITAL OF ARMY MEDICAL UNIV
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Patent Information

Application Number
CN202411775946.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-03-25
Estimated Expiration
2044-12-05

AI Technical Summary

Technical Problem

The performance management system of existing medical institutions lacks systematicity and automation, resulting in quality management becoming a formality, lack of effective monitoring means and timely feedback channels, affecting the accuracy, objectivity, efficiency and degree of automation of performance evaluation.

Method used

The performance management method based on neural network model is adopted to obtain relevant information of medical institution work projects and text data of work performance indicators, semantic feature coding and neural network training are carried out to build comprehensive performance indicators.

Benefits of technology

Significantly improve the accuracy and objectivity of performance evaluation, improve the efficiency and automation level of performance evaluation, promote the improvement of medical institutions' management level, and enhance their sustainable development capabilities.

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Abstract

The invention discloses a medical institution performance management method and system based on a neural network model, and a storage medium, and relates to the field of data management. The related information of the medical work items is divided into personal evaluation information and group evaluation information, and the work performance indexes are divided into personal evaluation indexes and group evaluation indexes; generating a first mapping relation set by the personal evaluation information and the personal evaluation indexes, generating a second mapping relation set by the group evaluation information and the group evaluation indexes, and performing semantic feature coding on the mapping relation sets respectively; generating a first feature vector and a second feature vector based on the semantic feature coding result, constructing a neural network weight matrix, and training a neural network by using the neural network weight matrix to obtain a neural network model; and inputting each index of a to-be-evaluated individual or group into the neural network model to obtain a performance comprehensive index. According to the invention, the improvement of the management level of the medical institution is promoted, and the sustainable development capability of the medical institution is enhanced.
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