AI Data Governance in Healthcare: What’s New and What’s Changing?

Generative AI is transforming healthcare, but its effectiveness depends on high-quality data, making governance essential. A survey by AWS and Harvard Business Review found that 52% of organizations feel unprepared for AI, with 39% citing data challenges as a major barrier.Healthcare’s regulatory framework provides a strong foundation for AI adoption, ensuring data accuracy, security, and accessibility. Key challenges include maintaining up-to-date datasets, eliminating biases, and defining accountability.Robust data governance enhances AI reliability by improving transparency and security while AI-driven tools aid in data management. Experts advise focusing on specific business needs rather than overhauling entire datasets. Human oversight remains critical to addressing biases and anomalies, reinforcing trust in AI-driven clinical decisions.