HIMSSCast
HIMSSCast: Lessons from UNC, Part 1 - Data Governance Fundamentals
Feb 21, 2025
Greg Kuhnen, the system director for analytical solutions at UNC Health Care, is a pro in healthcare data governance. He discusses the evolution of data governance at UNC, emphasizing the importance of terminology that reflects its value. Kuhnen highlights the collaboration needed between executives and teams to ensure data security. He also explores a hybrid governance model that balances centralized and decentralized analytics. Overall, he advocates for a human-centric approach, stressing the role of people, processes, and effective communication in maximizing data utility.
20:18
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Quick takeaways
- Data governance is essential for organizations as it encompasses both data enablement for accessibility and data protection for trustworthiness.
- Successful data governance requires a collaborative approach with a formal council and engaged stewards across all levels of the organization.
Deep dives
Understanding Data Governance
Data governance is often misperceived as merely bureaucratic processes, obscuring its true value in organizations. It is essential to focus on two main disciplines: data enablement and data protection. Data enablement involves cataloging and assessing data quality, ensuring that users can find and trust data sources efficiently. Conversely, data protection emphasizes maintaining control over data access to foster trust within the organization, ensuring sensitive data is used appropriately.
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