As interest in artificial intelligence accelerates across health care, organizations are increasingly looking for independent, trusted frameworks to guide responsible AI use. A recent Fierce Healthcare outlook on what’s ahead in 2026 highlighted URAC and our Health Care AI Accreditation as the first-of-its-kind approach to establishing quality, accountability and transparency for both AI developers and users.
URAC President and CEO Shawn Griffin, MD highlighted that URAC’s Health Care AI Accreditation applies the same health-first, independent approach the organization has brought to quality oversight for more than three decades. “Quality oversight in AI starts with how organizations use, govern and protect data, and whether systems are transparent, accountable and aligned with better health outcomes,” Griffin said. “Our accreditation is designed to put meaningful guardrails in place that protect patients, support equity and trust and ensure responsible data use, while still allowing innovation to move forward.” As policymakers, providers and innovators prepare for the next phase of AI adoption, URAC’s accreditation offers a practical, trusted framework that reinforces measurable outcomes and accountability without slowing progress.
