Healthcare organizations are under growing pressure to improve data access, quality, and compliance while supporting analytics and AI initiatives. Yet fragmented systems and inconsistent governance continue to slow progress. According to KPMG, 84% of healthcare organizations struggle with data quality issues, while Gartner reports that 74% face challenges accessing and using data effectively due to disconnected data management environments. These gaps directly impact clinical decision-making, operational efficiency, and regulatory compliance.
This white paper presents a practical 7-step framework for implementing data governance in healthcare. It explains how structured governance improves data integrity, enables secure interoperability across EHRs and external systems, and creates a dependable foundation for analytics and AI. The guide also examines common governance challenges, including data silos, unclear ownership, and regulatory risk, and outlines approaches to address them in complex healthcare environments.
Download the white paper to understand how to implement healthcare data governance in a structured, scalable way!
