CTeL and URAC Partner to Develop AI Accreditation for Healthcare
As artificial intelligence (AI) transforms the healthcare landscape, ensuring safety, transparency, and ethical use of AI-driven solutions has become a top priority. Recognizing the urgent need for oversight, URAC, a leader in healthcare accreditation, has launched an initiative to develop the nation’s first Health Care AI Accreditation Program—with CTeL as a key strategic partner.
Why AI Accreditation Matters in Healthcare
The integration of AI into healthcare is accelerating, powering clinical decision support, diagnostics, administrative automation, and patient engagement. While AI has the potential to improve efficiency, reduce costs, and enhance patient outcomes, it also raises critical concerns about bias, patient safety, data privacy, and regulatory compliance.
Healthcare organizations, AI developers, and policymakers face pressing questions:
How can AI be deployed ethically and responsibly in clinical settings?
What guardrails should be in place to prevent bias and ensure equitable care?
How can organizations demonstrate compliance with evolving federal and state AI regulations?
URAC’s AI Accreditation program aims to establish a nationally recognized framework to help healthcare organizations navigate these challenges, promote trust, and set industry standards for AI in medicine. This accreditation will build on URAC’s existing high-quality standards for patient safety and communications and risk management. URAC accreditation is more than simply principles for AI, but rather an independent verification of quality use of technology. This accreditation will demonstrate that an organization uses AI safely and in coordination with best practices.
CTeL’s Role: Shaping AI Policy and Compliance
As a trusted voice in telehealth law and digital health policy, CTeL brings deep expertise in healthcare regulations, compliance, and AI governance.
By collaborating with URAC, CTeL is helping shape policy-driven, legally sound accreditation standards that will guide the responsible development and deployment of AI in healthcare.
This partnership focuses on:
Regulatory Alignment – Ensuring AI accreditation standards align with existing healthcare laws and emerging AI policies.
Legal & Ethical Best Practices – Addressing key legal risks such as data privacy, bias mitigation, and liability concerns.
Stakeholder Engagement – Bringing together providers, AI developers, payers, and policymakers to build consensus on AI governance.
What AI Accreditation Means for Healthcare Organizations
Healthcare providers, payers, and technology companies leveraging AI will soon have a clear, structured pathway to accreditation, allowing them to:
Demonstrate trust and transparency in AI applications
Ensure AI tools meet high ethical and clinical standards
Enhance patient and provider confidence in AI-driven care
Stay ahead of regulatory and compliance challenges
For health systems, telehealth providers, and digital health companies, participating in this accreditation process will be key to staying competitive, ensuring compliance, and maintaining patient trust in an AI-driven future.
Stay Informed and Get Involved
As AI adoption in healthcare continues to grow, URAC and CTeL are leading the charge in setting standards that prioritize safety, effectiveness, and ethical responsibility.
Individuals or organizations interested in joining the Advisory Committee can learn more and request to join at www.urac.org/HealthAI. Once the Committee has formed, members will explore several focus areas including risk management, monitoring and improvement consumer protection, patient encounters, clinical care and others deemed essential to develop accreditation standards. Committee registration will be open until March 14, 2025.
Join the conversation and help shape the future of AI in medicine.