Big Data Governance
Definition
The framework of policies, procedures, standards, and controls that ensure data is managed as a valuable asset. In the context of Health Informatics, it addresses the challenges of volume, velocity, and variety inherent in big-data to ensure security, privacy, and utility.
Core Challenges
- Balancing data accessibility for research/analysis with strict regulatory compliance (gdpr, hipaa).
- Managing metadata quality and lineage across heterogeneous sources.
- Integrating siloed health records into unified regional systems.
Regional Health Information Networks (RHINs)
RHINs facilitate the exchange of health information across organizations. Effective governance is critical for:
- Interoperability standards enforcement.
- Trust establishment among participating institutions.
- Preventing data misuse while enabling population health insights.
Key Case Study: China’s RHIN Framework
Research highlights specific strategies for advancing RHINs through structured governance models:
- Li - A Framework for Big Data Governance to Advance RHINs A Case Study of China
- Authors: Quan Li, Lan Lan, Nianyin Zeng, Lei You, Jin Yin, Xiaobo Zhou, Qun Meng
- Publication: IEEE Access (Special Section on Data-Enabled Intelligence for Digital Health), Springer, March 11, 2019.
- DOI: 10.1109/ACCESS.2019.2910838
- Key Insights:
- Proposes a comprehensive framework addressing the fast growth of regional health informatization in China.
- Focuses on overcoming serious challenges posed by the emergence of big data in healthcare settings.
- Emphasizes the integration of Electrical Engineering principles with health data management for intelligent digital health solutions.
Related Concepts
- ai-security
- Interoperability
- Health Information Exchange