Artificial intelligence (AI) is rapidly shaping how health care organizations operate, from clinical decision-making to resource allocation. As adoption accelerates, expectations about oversight, transparency and accountability are rising just as quickly.
URAC’s new issue paper, Health Care AI: Accountability in Practice, examines how organizations can move beyond implementation and build accountability into how AI is used every day. The paper explores key challenges facing health care organizations, including:
- Adoption outpacing oversight
- The need for continuous monitoring as AI evolves
- Balancing transparency with usability and trust
- Aligning governance across people, process and technology
The paper also outlines practical approaches to strengthen accountability, reduce risk and support more responsible AI use across the enterprise. As the first accreditor to launch a Health Care AI Accreditation, URAC brings a unique perspective on how standards support safe, transparent and accountable AI in health care.
- Download the issue paper – Health Care AI: Accountability in Practice here
- Watch our health care AI webinar here
- Learn more about URAC’s Health Care AI Accreditation here
