Data Governance Frameworks for Large-Scale Healthcare Systems: A Comparative Study

Abstract

This research analyzes how data governance frameworks in large healthcare systems support AI use, ensure compliance, assign data management duties, manage metadata and manage access based on different user roles. Analyses in the paper reflect best practices, feedback from interviews and regulations and focus on how organizations comply with HIPAA, GDPR and other changing worldwide standards. It lays out a plan and maturity model specific to healthcare businesses trying to increase their analytics capability. The focus is on keeping trust, ethics and transparency with the help of adaptive and flexible control systems. They show what is needed for data infrastructure to be big, safe and compliant as healthcare becomes more digital.