AI Unleashed: Navigating Adoption and Oversight in U.S. Healthcare

This IDC Perspective looks into the adoption of AI in U.S. healthcare and the related oversight needed. AI adoption in U.S. healthcare has transitioned from experimentation to enterprise-scale integration, driving advancements in clinical decision support, workflow automation, and patient engagement amid cost pressures and workforce shortages. GenAI is foundational, enhancing operational efficiency, diagnostic accuracy, and population health management. However, regulatory, ethical, and governance challenges, including bias audits, transparency mandates, and compliance requirements, pose barriers to scaling. Structured governance, equity-focused AI models, and collaborative innovation are essential for responsible deployment and maximizing AI's transformative potential in healthcare."AI in healthcare is no longer experimental, it's foundational. Healthcare organizations are faced with a variety of barriers related to AI development and deployment with regulatory and governance requirements taking center stage." - Jennifer Eaton, research director, Value-Based Healthcare IT Transformation Strategies, IDC