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Separating AI Hype from Impact: Repeatable Outcomes and ROI When AI Understands Full Patient Complexity

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Separating AI Hype from Impact: Repeatable Outcomes and ROI When AI Understands Full Patient Complexity

Join Dr. Kalie Dove-Maguire, President and Chief Product Officer at Evidently, and physician leaders from major health systems for a direct conversation about what repeatable clinical AI outcomes look like when clinicians finally have the full complexity of the patient chart at their fingertips – including the 30-40% most tools can’t reach or understand.

In this panel, leaders share the specific problems they set out to solve, the hard outcomes they measured, and the repeatable playbook they’d hand a peer starting today. From one of the largest increases in KLAS Net EHR Experience Score history, to surfacing an average of 4-5 net-new CCs & MCCs per chart at the admit note, to durable increases in CMI.

Attendees will learn:

  • New approaches to meaningful improvement in provider experience
  • Methods for improving complexity capture at the admit note, and in CMI
  • Real-world examples of how access to full patient complexity fundamentally changed care decisions
David Marcozzi, MD
Chief Clinical Officer & SVP @ University of Maryland Medical Center. Associate Dean for UMMC Clinical Affairs @ University of Maryland School of Medicine
James Blum, MD FACS
Chief Health Information Officer @ University of Iowa Health Care
Spencer Dorn, MD
Professor of Medicine, Executive Director, UNC Faculty Physicians @ UNC Health
Kalie Dove-Maguire, MD
President & Chief Product Officer @ Evidently