In this episode of The Visible Voices Podcast, Dr. Resa Lewiss explores AI in healthcare with Andrew Taylor MD MHS, a Professor and Vice Chair of Research and Innovation in Emergency Medicine at the University of Virginia. 

Dr. Taylor shares insights from his work on AI-informed triage systems, discusses the challenges of implementing AI in hospital settings, and explains how artificial intelligence can reduce diagnostic errors while promoting fairness in emergency care.

Healthcare lags behind other industries in adopting AI tools, facing unique challenges around hospital infrastructure and personnel requirements. Large language models require substantial computational resources that most traditional hospital systems lack. The persistent problem of closed electronic health record systems further complicates implementation. Healthcare typically can take 15 years to adopt new technologies, even those with proven efficacy and safety records.

Publications we discuss:

—Impact of Artificial Intelligence-Based Triage Decision Support on Emergency Department Care (NEJM AI)

—Leveraging Artificial Intelligence to Reduce Diagnostic Errors in Emergency Medicine: Challenges, Opportunities, and Future Directions (AEM)

—Enhancing Emergency Department Triage Equity With Artificial Intelligence: Outcomes From a Multisite Implementation (Annals of EM)

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