Data quality analysis of regional health information platform of community medical institutions in Beijing
10.3760/cma.j.cn113565-20230117-00012
- VernacularTitle:北京市某区医疗机构全民健康信息平台数据质量分析研究
- Author:
Zhao YANG
1
;
Shuhong ZHU
;
Jicheng LV
;
Xizi ZHENG
;
Miao HUI
;
Lingyi XU
;
Li YANG
Author Information
1. 北京大学第一医院 100034
- Keywords:
Community medical institutions;
Health information platforms;
Data quality
- From:
Chinese Journal of Medical Science Research Management
2023;36(6):465-468
- CountryChina
- Language:Chinese
-
Abstract:
Objective:This study aims to analyze of the quality of diagnosis and treatment data of community medical institutions on the national health information platform in a district of Beijing from the perspective of scientific research informatization, to provide experience and reference for promoting the informatization construction of primary medical units and tapping the scientific research potential of the regional data platform.Methods:Based on the data backup database of the national health information platform in the region, the data quality was analyzed and evaluated mainly in three dimensions: integrity, integration, and consistency.Results:Through the construction of the national health information platform, the district successfully achieved the effective collection of diagnosis and treatment data from community medical institutions, covering the main data such as patients′ basic information, visit information, test information, prescription information, etc. However, the data collected so far were still insufficient in terms of data integration and consistency.Conclusions:A regional medical data center is suggested to construct to break down the barriers between data systems, conduct pre-structuring of diagnosis and treatment data, improve data integration and consistency, and at the same time, carry out effective scientific research prospective design to promote the effective transformation of clinical data to scientific research data.
