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The Challenges of Big Data Governance in Healthcare

Daniel W. K. Tse · Chung-kin Chow · Ting-pong Ly · Chung-yan Tong · Kwok-wah Tam

48 citations0/0 files storedIEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

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Big Data Technologies and Applications Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare

Abstract

Big data starts to be employed in some industries but not yet widely or properly adopted in healthcare industry. This research paper aims at studying the usages and challenges of big data in healthcare sector. Governance of big data will include the domains of strategy, process, people, policy and technology and automation. Among the challenges identified in the healthcare sector, reliability and integrity are especially important because it is related to life and death. Big data governance for policy maker, authentication for data integrity, and future development of healthcare big data governance are discussed here. Moreover, some future development questions are raised in this paper for further study, which will improve the quality of life and lead to a better and healthier world under the proper and adequate big data governance environment.

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References

2015The Challenges of Data Quality and Data Quality Assessment in the Big Data Era 2013Big Data: Issues and Challenges Moving Forward 2009Designing data governance 2014Big-data applications in the government sector 2014Creating Value In Health Care Through Big Data: Opportunities And Policy Implications 2014Big data, open government and e-government: Issues, policies and recommendations 2015Rethinking big data: A review on the data quality and usage issues 2013The rise of Big Data: what does it mean for education, technology, and media research?

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