Business Model of Health Data Sharing Platform Based on Data Crowdsourcing in the Context of Big Data

Abstract

Abstract:

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.

Key words: platform business model, Wei-Zhu six factor, data crowdsourcing, health data sharing platform

Guo Xinxin, Wang Haiyan. Business Model of Health Data Sharing Platform Based on Data Crowdsourcing in the Context of Big Data[J]. , 2019, 31(7): 56-64.

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