A Framework for Big Data Governance to Advance RHINs: A Case Study of China
The emergence of big data presents a serious challenge to the fast growth of regional health information networks
(RHINs) globally. In China, many constructors of RHINs have spontaneously and independently created governance measures,
which may be valuable as a point of reference for other countries. This paper aimed to propose a big data governance framework
for healthcare data based on the governance activities associated with the processing of RHINs in China. Typical methodology for
RHIN case studies in China, including rich personal experience in nationwide consulting, literature review, expert consultation,
and interpretative structural modeling methods, was adopted. Based on the analysis of ten typical RHIN case studies, healthcare
big data governance practices in China were summarized. A framework with 3 domains and 12 elements was proposed, which
include a drive domain (big data strategy planning, laws and regulations, open transaction, and industry support), capability
domain (healthcare big data organization, collection, storage, process and analysis, and usage), and support domain (healthcare
big data resource planning, standards system, and privacy and security protection). We obtained 12 guidelines for healthcare big
data governance. A big data governance framework with 3 domains and 12 elements was presented based on Chinese practice,
which might serve as valuable references for the cross-dimensional development of RHINs, provide overall guidance for the
sustainable development of regional health informatization, and contribute to realizing the business value of healthcare big data.
KeyWords
Big data,data mining
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