Informatics/Data Science/AI II
Tuesday, May 19, 2026 2:00 PM to 2:50 PM · 50 min. (America/New_York)
M101: Level M
Abstract: Lightning Oral
Information
Ticketed Event
No
CME
0.75
Disclosures
Access the following link to view disclosures of session presenters, presenting authors, organizers, moderators, and planners:
Abstract: Lightning Oral
Emergency Physician Perspectives on Impact of Ambient Artificial Intelligence Scribe on Documentation Burden
Tuesday, May 19, 2026 2:00 PM to 2:08 PM
M302 - M303: Level M
Samuel Sondheim · Icahn School of Medicine at Mount Sinai
Diana Dayal · Department of Emergency Medicine, UCLA
Screening for Emergency Department Missed Opportunities for Diagnosis Using Large Language Models
Tuesday, May 19, 2026 2:00 PM to 2:08 PM
M101: Level M
Adrian Haimovich · Beth Israel Deaconess Medical Center/Harvard Medical School
The Role of Large Language Models in Emergency Care: A Comprehensive Benchmarking Study
Tuesday, May 19, 2026 2:08 PM to 2:16 PM
M101: Level M
Longsha Liu · Stanford University School of Medicine
Using Microsoft Teams for Consultations: A Cross-Sectional Survey of Emergency Department and Consulting Clinicians
Tuesday, May 19, 2026 2:16 PM to 2:24 PM
M101: Level M
Carly Rosen · Northwell Staten Island University Hospital
A Novel Approach to Modeling Likelihood of Emergency Department to Hospital Admission
Tuesday, May 19, 2026 2:24 PM to 2:32 PM
M101: Level M
Jim Holmes · UC Davis
Assessing Telehealth Feasibility in an Urban Safety-Net Emergency Department: Technology Access and Barriers
Tuesday, May 19, 2026 2:32 PM to 2:40 PM
M101: Level M
Farah Kabir
Integrating a Large Language Model Into Sepsis Predictive Tool Improves Clinical Acceptance Without Delaying Antibiotics in the Emergency Department
Tuesday, May 19, 2026 2:40 PM to 2:48 PM
M101: Level M
Gabriel Wardi · University of California (San Diego) Medical Center
