Scott Levin, Senior Director of Research and Innovation at Beckman Coulter and Associate Professor in Emergency Medicine at Johns Hopkins University School of Medicine, will be presenting at HIMSS24. His session titled "Deploying Artificial Intelligence for Clinical Decision Support in Emergency Medicine" will discuss the AHRQ systems engineering success phases and methods to mitigate bias in AI. Levin will focus on the deployment of AI for point-of-care clinical decision support, specifically in emergency medicine. He will share two use cases where AI tools were implemented in multiple emergency departments, emphasizing the phases of problem analysis, design, development, implementation, and impact analysis. The session aims to provide attendees with insights into the five AHRQ systems engineering success phases and their connection to practical examples of AI clinical decision support in the emergency department.

Additionally, Levin will highlight the importance of studying and mitigating bias in AI algorithms and the existing clinician decision-making structures. Addressing these biases is crucial for healthcare, as the industry strives to eliminate disparities in care. The session will take place on March 12, from 1:15-1:45 p. m. in room W307A at HIMSS24 in Orlando.