As the healthcare sector rapidly embraces artificial intelligence (AI), the volume of AI pilot programs in flight across enterprises is surging. Recent studies estimate that 75% of leading health care companies are experimenting with or planning to scale Generative AI across the enterprise. 82% have or plan to implement governance and oversight structures for Generative AI (Deloitte, 2024). The accelerating adoption is driven by the potential of AI to enhance patient care, streamline operations, and reduce costs. However, this rapid implementation also introduces significant risks, particularly when AI systems are deployed without adequate governance frameworks. The lack of comprehensive AI governance training across healthcare enterprises poses significant risks as AI pilots transition from experimentation to full-scale production deployments.

Workforce training in AI governance is essential to equip healthcare professionals with the knowledge and skills to manage these risks effectively. This includes understanding how to mitigate potential biases, ensuring compliance with regulatory requirements, and safeguarding patient data. Additionally, well-trained teams are better equipped to oversee the ethical implications of AI decisions, thus fostering trust and transparency in AI-driven healthcare.