Experience and challenge on interoperability of big data in health care
10.3760/cma.j.issn.0254-6450.2020.03.005
- VernacularTitle:健康医疗大数据互联互通模式的经验与挑战
- Author:
Shengfeng WANG
1
;
Yi NING
;
Liming LI
Author Information
1. 北京大学公共卫生学院流行病与卫生统计学系 100191
- Keywords:
Big data in health care;
Interoperability;
Distributed network;
Common data model
- From:
Chinese Journal of Epidemiology
2020;41(3):303-309
- CountryChina
- Language:Chinese
-
Abstract:
Problems in interoperability is the biggest barrier limiting the use of big data in health care worldwide. Interoperability contains five dimensions: business, security, ethics, semantics and technology. Based on the comparison of the three common interoperability models led by government, enterprise or research institution, and the current status of big data development in China, this paper proposes a new operation model which can be led by university, aided by enterprise and supported by government, and summarizes the three major challenges in the development of big data interoperability in China: professional standard and specification, data security and ethics, incentive mechanism and assessment. Only when a feasible model is adopted, technical difficulties are overcome and data are truly shared, we can achieve maximized integration of multi-source data, expanding its application fields and establish a multi-business mode to comprehensively improve the population based health decision-making and management.
