健康医疗大数据互联互通模式的经验与挑战  

Experience and challenge on interoperability of big data in health care

作　　者：王胜锋[1] 宁毅 李立明[1] Wang Shengfeng;Ning Yi;Li Liming(Department of Epidemiology and Biostatistics,School of Public Health,Peking University,Beijing 100191,China)

机构地区：[1]北京大学公共卫生学院流行病与卫生统计学系,100191

出　　处：《中华流行病学杂志》2020年第3期303-304,305-309,共7页Chinese Journal of Epidemiology

基　　金：国家自然科学基金(91846303)。

摘　　要：互联互通是目前全球各国健康医疗大数据使用面临的最大壁垒。互联互通涉及业务、安全、伦理、语义和技术5个维度,本文在比较政府主导、企业主导和研究机构主导3种常见互联互通模式的基础上,结合中国健康医疗大数据的发展现状,提出高校牵头、企业助力和政府支持的工作模式。同时,归纳出目前我国健康医疗大数据互联互通面临的3大挑战:行业标准与规范、数据安全与伦理、激励机制与考核。唯有采用切实可行的模式,攻克相关关键技术,真正将数据打通共享,才能最大限度的整合多来源数据,挖掘多应用场景,培育多业态模式,全面提升人口健康科学决策和服务管理水平。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.

关 键 词：健康医疗大数据 互联互通 分布式网络 通用数据模型 

分 类 号：R181[医药卫生—流行病学]