Provider-payer collaboration with AI: How 1 health system is identifying appropriate levels of care + optimizing length of stay

Wednesday, June 12th, 2024 | 12:00 PM - 1:00 PM CT 

Healthcare produces data faster than any other industry, generating 30% of the world's data volume alone. To work through massive amounts of clinical and financial data daily, eliminate administrative waste and leverage data for enhanced decision-making ― especially in care management ― leading provider and payer organizations are using AI and machine learning (ML).

Join this live session to learn how organizations like United Regional Health Care System (Wichita Falls, Texas) are breaking down healthcare data silos with AI and ML to improve care coordination and collaboration across a connected network of providers and payers. 

You'll learn:
  • How AI and ML can proactively identify appropriate levels of care, improve discharge workflows and effectively manage length-of-stay timelines
  • United Regional Health Care System's success story, including how AI and ML-driven predictions drove operational efficiency
  • Best practices and key change management strategies for integrating AI into existing healthcare processes and workflows 


Dori Dockery - Daniel Gest-1

Dori Dockery, MPH, BSN, RN, CCM, ACM-RN, NEA-BC

Director of Chronic Disease and Medical Management, United Regional Health Care System

Matt Brink - Daniel Gest

Matt Brink

Director of Payer Operations, Xsolis