Research on the status quo and countermeasures of open and sharing of health and medical big data
10.3760/cma.j.cn113565-20240709-00170
- VernacularTitle:健康医疗大数据开放共享的发展现状与对策研究
- Author:
Ruijia TAO
1
;
Minying LI
;
Hongyu LI
;
Peng QI
;
Pengjun ZHANG
Author Information
1. 北京中医药大学管理学院，北京 100029
- Publication Type:Journal Article
- Keywords:
Healthcare big data;
Data sharing;
Status of development;
Countermeasure analysis
- From:
Chinese Journal of Medical Science Research Management
2025;38(2):133-139
- CountryChina
- Language:Chinese
-
Abstract:
Objective:The arrival of the big data era has accelerated the development of information technology in the healthcare sector. Internationally, developed countries such as the United States, the United Kingdom, and the European Union have taken pioneering initiatives in data openness. Since 2015, China has rapidly promoted the application of big data through policy layout. This study aims to help the open and shared development of healthcare big data in our country by investigating the status quo of open and shared healthcare big data at home and abroad.Methods:Through literature research and information integration, this study summarized the development history and current situation of open and sharing health and medical big data at home and overseas, analyzed related problems and challenges, and proposed countermeasures and development suggestions.Results:The open sharing of health and medical big data in developed countries and regions abroad had made outstanding achievements in legislation, standard formulation, platform construction, etc. The domestic policy layout was relatively perfect, and the relevant construction was being actively promoted. Problems and challenges still existed in five aspects, including privacy security, data format standards, data quality, laws and regulations, and property rights and interests.Conclusions:Combined with the problems found in the current research process, the following countermeasures and development suggestions are proposed for domestic health and medical big data open sharing: establish a privacy protection mechanism to ensure data security, unify data standards to improve data interoperability, build a data quality control system to ensure data accuracy, improve laws and regulations to standardize data sharing behavior, clarify the ownership of interests and protect intellectual property rights.
