Rooting Out Sepsis Using Artificial Intelligence in the Emergency Department
Recorded On: 03/23/2023
Webinar Description:
Rapid advancements in artificial intelligence (AI) in healthcare are significantly transforming the practice of medicine by enabling higher levels of efficiency and speed, care delivery, and confidence in decision making. During this presentation, participants will learn about emerging AI technology and its potential to revolutionize our approach to sepsis care by enabling rapid triaging and disposition of patients at risk for or suspected of having sepsis. AI-driven tools that support improved sepsis detection, diagnosis, and treatment will also be discussed. The presenter will review recently published scientific literature on this topic and provide a framework for understanding these tools and integrating them into clinical practice to achieve widespread adoption and deliver maximum impact.
No CE credits are offered for this sponsored webinar. Content was determined by the sponsor.
Webinar Sponsor:
Sepsis Alliance gratefully acknowledges the support provided by Beckman Coulter for this sponsored webinar.
Jeremiah Hinson, MD, PhD
Associate Professor of Emergency Medicine, Associate Director of Research for the Department of Emergency Medicine
Johns Hopkins School of Medicine
Jeremiah Hinson, MD, PhD, is a clinician scientist who serves as an associate professor of emergency medicine and the Associate Director of Research for the Department of Emergency Medicine at Johns Hopkins School of Medicine. He is also faculty within the Malone Center for Engineering in Healthcare at Johns Hopkins and Co-Directs the Center for Data Science in Emergency Medicine, where he leads research on artificial intelligence (AI) and sepsis. His work includes the development and evaluation of AI-driven tools that facilitate individualized patient risk stratification and optimized resource allocation, evaluation of emerging sepsis biomarkers, and multicenter clinical trials to evaluate new approaches to sepsis therapy.