Rooting Out Sepsis Using Artificial Intelligence in the Emergency Department

March 23, 2023

Webinar Description: 

Presented by Beckman Coulter

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.

Target Audience

Nurses, advanced practice providers, physicians, emergency responders, pharmacists, medical technologists, respiratory therapists, physical/occupational therapists, infection prevention specialists, data/quality specialists, and more. 

Sepsis Alliance gratefully acknowledges the support provided for this webinar by Beckman Coulter.

Course summary
Course opens: 
02/16/2023
Course expires: 
12/31/2025
Event starts: 
03/23/2023 - 11:00am PDT
Event ends: 
03/23/2023 - 12:00pm PDT
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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.

No continuing education credits are offered for the Sponsor Innovation Webinar.

Medical Disclaimer

The information on or available through this site is intended for educational purposes only. Sepsis Alliance does not represent or guarantee that information on or available through this site is applicable to any specific patient’s care or treatment. The educational content on or available through this site does not constitute medical advice from a physician and is not to be used as a substitute for treatment or advice from a practicing physician or other healthcare provider. Sepsis Alliance recommends users consult their physician or healthcare provider regarding any questions about whether the information on or available through this site might apply to their individual treatment or care.

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