From acceleration to accountability: What safe, transparent AI looks like in healthcare


This webinar is on-demand and can be viewed at your convenience.

Hospitals and payers are integrating AI into workflows faster than ever but with acceleration comes scrutiny. 

Patients want transparency. Regulators want guardrails. And health system leaders are asking: how do we ensure AI is safe?

In this session, URAC and members of its Health Care AI Accreditation Committee share insights on how health systems and payers are using AI today and where risks are rising. 

Watch to learn:
 
  • The patient-provider implications of AI disclosures, data bias and decision-making
  • The hidden risks of undisclosed AI in patient care and operations
  • Why accreditation is emerging as a signal of quality, trust and governance

Presenters:

DeAnna Hardin Fall 2025

De’Anna Hardin

Business Development Executive, URAC

Jenn Fall 2025

Jenn Richards, PhD, PharmD, JD

Senior Director, Product Management, URAC

Demetri Photo

Demetri Giannikopoulos

Chief Innovation Officer, Rad AI

Shakira

Shakira J. Grant, MD

Chief Executive Officer, CROSS Global Research and Strategy

Moderator:

Lisa 2025 2

Lisa Silverman, MA

Client Education Specialist, URAC