Build trust, strengthen governance and demonstrate accountability across the AI lifecycle.
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As health care organizations adopt artificial intelligence, leaders need more than innovation alone. They need governance, oversight and a credible way to show patients, partners and regulators that they are responsibility using AI. URAC’s Health Care AI Accreditation helps organizations lead with confidence.
Why Health Care AI Needs Governance
AI is moving quickly across health care operations, administration and clinical settings. Organizations face growing questions around accountability, transparency, privacy, bias and risk management.
URAC’s Health Care AI Accreditation helps organizations:
- Build trust with patients, partners and regulators
- Strengthen governance and oversight
- Reduce operational and reputational risk
- Demonstrate accountability across the AI lifecycle
- Support responsible innovation at scale
Two Paths to Health Care AI Accreditation
Why URAC?
URAC brings more than 35 years of independent accreditation experience to one of health care’s most important emerging challenges.
- Independent, nonprofit accreditor
- Trusted across health care
- Nearly 50 accreditation and certification programs
- Deep experience in quality, accountability and oversight
- Built specifically for health care use-cases
Why It Matters for Organizations Using AI
Artificial intelligence is already shaping care delivery, from clinical decision support to operational workflows. Organizations implementing AI need governance structures that support safety, accountability and trust.
- Operational Confidence: Support responsible AI implementation across clinical and administrative environments.
- Independent Validation: Demonstrate that your AI governance and oversight practices align with recognized standards.
- Risk Management: Strengthen processes related to accountability, transparency and oversight.
- Organizational Trust: Build confidence with patients, providers, partners and stakeholders.
URAC’s Health Care AI Accreditation helps organizations implement AI with greater confidence and accountability.
Why It Matters for Organizations Developing AI Solutions
As health care organizations evaluate AI vendors and technologies more closely, independent validation can help strengthen trust and reduce adoption barriers.
- Market Differentiation: Demonstrate that your AI solutions meet recognized quality standards.
- Faster Procurement: Reduce buyer hesitation through independent validation of governance and safety practices.
- Governance Preparedness: Strengthen organizational approaches to AI oversight, accountability and transparency.
- Credibility for Partnerships: Build trust with health systems, payers and enterprise customers.
URAC’s Health Care AI Accreditation helps organizations demonstrate responsible AI development and deployment practices.
Get Accredited. Build Trust in AI.
Show your commitment to safe, effective AI in health care.
Featured Resources
Building Trust in AI: A Practical Guide for Health Care Leaders On-demand webinar
Health Care AI: Accountability in Practice Issue Paper
Report from URAC: Quality, Trust, Safety and Responsibility in AI On-demand Webinar
URAC Featured in the Conversation
Becker’s Healthcare Podcast
Congressional Research Service
Fierce Healthcare
Newsweek
Becker’s Healthcare
Congressional Research Service
Health Care AI Insights and Resources
What This Accreditation Evaluates
URAC’s Health Care AI Accreditation focuses on organizational accountability, including:
- Governance
- Defined use of AI
- Monitoring and oversight
- Risk management
- Quality improvement
- Transparency
- Accountability across the AI lifecycle
Frequently Asked Questions
Lead with Confidence in Health Care AI
URAC helps organizations demonstrate trust, governance and responsible oversight as AI adoption grows across health care.