摘要
医疗健康大数据背景下,大众健康数据作为一笔丰富的资产已引起理论界和业界的广泛关注,但如何充分开发和利用大众健康数据尚未得到深入研究。本文通过对现有的"互联网+医疗健康"服务模式探究和分析,提出构建基于数据众包的健康数据共享平台。基于魏朱六要素商业模式模型,通过对数据共享者、服务提供者、数据需求者和健康数据共享平台四部分利益相关者的分析,设计了健康数据共享平台业务系统,分析了健康数据共享平台商业模式。选取"区动体育"平台作为典型案例,对其商业模式进行了系统分析和归纳,探讨了"区动体育"借助区块链和数字货币技术进行健康数据共享,挖掘大众健康数据价值的路径机制。研究表明:基于数据众包的健康数据共享平台可以打造一个健康数据采集-存储-利用-回馈的闭合健康生态平台,解决了大众健康数据难以聚合、分享和货币化问题,为创新医疗健康服务模式,提高健康生活方式和相关服务的可及性提供了支撑。
In the context of medical and health big data, public’ s health data, as a rich asset, has attracted extensive attention from the field of theory and industry, but how to fully develop and utilize the public’ s health data has not been thoroughly studied. Based on the research and analysis of the existing "Internet + medical health" service models in the market, this paper builds a health data sharing platform based on data crowdsourcing. Based on the Wei-Zhu six factor model, through the analysis of data sharers, service providers, data consumers and health data sharing platforms, the business system of health data sharing platform is designed and analyzed. This paper selects the "BSPNetwork" platform as a typical case, systematically analyzes and summarizes its business model, and discusses the path of "BSPNetwork" to share health data accommodated by blockchain & digital currency technology. Research shows that the crowdsourcing-based health data sharing model can create a closed data platform for healthy data collection-storage-utilization-feedback, which solves the problem that the public health data are difficult to aggregate, share and monetize. It provides support for the innovation of medical and health service mode in addition to the improvement of the accessibility of healthy lifestyle and related services.
作者
郭鑫鑫
王海燕
Guo Xinxin;Wang Haiyan(School of Economics and Management, Southeast University, Nanjing 211189)
出处
《管理评论》
CSSCI
北大核心
2019年第7期56-64,共9页
Management Review
基金
国家自然科学基金重点项目(71531004)
中央高校基本科研业务费专项资金资助
江苏省研究生科研与实践创新计划项目(KYCX17_0197)
关键词
平台商业模式
魏朱六要素
数据众包
健康数据共享平台
platform business model
Wei-Zhu six factor
data crowdsourcing
health data sharing platform