Construction and application of a delicacy management system of respiratory disciplines based on big data technology
10.3760/cma.j.cn113565-20220311-00036
- VernacularTitle:基于大数据技术的呼吸学科精细化管理体系构建与应用
- Author:
Qianqian ZHAO
1
;
Lirong LIANG
;
Zhaohui TONG
Author Information
1. 首都医科大学附属北京朝阳医院信息中心 100020
- Keywords:
Discipline construction;
Evaluation system;
Delicacy management;
Medical big data
- From:
Chinese Journal of Medical Science Research Management
2022;35(4):314-320
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish an evaluation index system for the refinement management of respiratory specialties in four dimensions: medical care, teaching, scientific research and personnel training, to develop a refinement management system based on medical big data, and evaluate the effectiveness of its application.Methods:Based on evaluation indexes and literature of several domestic respiratory specialty influence rankings, an index system covering four dimensions (primary indexes), 16 secondary indexes and 73 tertiary indexes covering medical treatment (30%), teaching (15%), scientific research (40%) and personnel training (15%) was devised using brainstorming, Delphi, and hierarchical entropy weighting. Data from 13 professional groups and 248 respiratory discipline members integrated by the system in 2018 and 2019 were statistically analyzed using the refined index system embedded in the system to understand the system's application after a year of use with comparing the four dimensions of the discipline and the changes among specialty groups before and after implementation.Results:In 2019, respiratory medicine′s comprehensive score grew 30% compared to 2018. The subscores also grew, with scientific research showing the largest growth rate of 136% and talent cultivation showing the second highest. In 2019, ten of the 13 professional groups grew by 2% to 135%.Conclusions:An improved management system for respiratory medicine based on big data technology has provided a comprehensive, intuitive and quantitative view of the discipline′s development in four dimensions and the differences among specialty groups. It will be an effective decision-making tool for ensuring high-quality and balanced discipline development.
