How Yale New Haven is Enhancing Emergency Care with AI

Tuesday, September 17th, 2024 | 11:00 AM - 12:00 PM CT

Traditional emergency department triaging — which is heavily reliant on manual assessments — is growing more outdated by the day. As EDs face mounting pressure to deliver faster, more precise care, the need for innovative solutions has never been more pressing.

Join us for a webinar where Yale New Haven (Conn.) Health will share how it revolutionized ED triage by integrating AI-driven decision support tools. Discover how this cutting-edge approach led to significant operational and clinical improvements, including:
 
  • A three-hour reduction in time to all cardiovascular interventions for ED patients with chest pain
  • A four-hour reduction in time to cardiac catheterization
  • A 76-minute reduction in length of stay for hospitalized patients

Presenters:

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Jeremiah Hinson, PhD MD

Associate Professor of Emergency Medicine, Johns Hopkins School of Medicine
Associate Director of Research for the Department of Emergency Medicine at Johns Hopkins School of Medicine
Medical Director, Research & Innovation, Beckman Coulter Diagnostics

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Andrew Taylor MD, MHS

Associate Professor of Biomedical Informatics and Data Science, Emergency Medicine, and Biostatistics, Yale