POLITICO Highlights URAC Congressional Briefing on Responsible AI in Health Care
POLITICO recently highlighted URAC’s bipartisan congressional briefing, Health Care AI: Innovation, Safety and the Role of Accreditation, hosted in cooperation with the…
Bias in Clinical AI Is More Complicated Than It Looks
Clinical AI does not operate without bias. Every model reflects assumptions about the data it uses, the outcomes it prioritizes and the…
URAC Hosts Congressional Briefing on Responsible Health Care AI
URAC hosted a Congressional Briefing on June 29 to help policymakers better understand how accreditation can support responsible artificial intelligence use in…
Accountability in Practice: Responsible AI Use in Healthcare
AI is already shaping health plan operations, from utilization management and care management to member communications and administrative decision-making.
Congressional Report Language Highlights the Role of Accreditation in Responsible Health Care AI
As artificial intelligence becomes more common in health care, policymakers are paying closer attention to how organizations develop, deploy and use AI…
URAC Launches “Health Care, Meet AI” Video Series
Artificial intelligence is already changing how people experience health care. Patients are using chatbots to ask health questions.
Shawn Griffin: Health Care AI Needs Accountability, Not More Hype
AI is already influencing health care, from clinical documentation and patient communication to risk prediction and workflow support.
AI in Emergency Medicine Raises Questions Around Oversight and Accountability
As artificial intelligence tools continue moving into clinical environments, emergency departments are becoming a key example of both the potential benefits and…
Leading in the Age of Health Care AI: URAC CEO on the Becker’s Healthcare Podcast
URAC President and CEO Dr. Shawn Griffin joined the Becker’s Healthcare Podcast to discuss what responsible leadership requires as artificial intelligence rapidly…
URAC’s Health Care AI Accreditation Highlighted as a National Standard for 2026
As interest in artificial intelligence accelerates across health care, organizations are increasingly looking for independent, trusted frameworks to guide responsible AI use.
