254 - 2025 Medical Odyssey, AI, EMR and the ID Physician

Wednesday, October 22, 2025

3:15 PM - 4:30 PM US ET

Location: B206

CME Credits: Maximum of 1.25 hours of AMA PRA Category 1 Credit™
MOC Credits: Maximum of 1.25 hours of MOC Credit
CNE Credits: Maximum of 1.25 hours of ANCC Credit
ACPE Credits: ACPE 1.25 knowledge-based contact hours of pharmacy CE
ACPE Number: JA0007082-9999-24-002-L01-P
PACE Credits: Maximum of 1 of PACE contact hours
CE Broker: Maximum of 1 CE broker credit hours

Moderator(s)

Susan Casey, MD (she/her/hers)

CQO
N/A
Chicago, IL, United States
Amy Chang, MD, PharmD (she/her/hers)

Clinical Assistant Professor
Stanford University School of Medicine
Stanford, CA, United States

Faculty(s)

Jason Goldman, MD, MPH (he/him/his)

Physician, Infectious Disease
Swedish Medical Center, Seattle, WA, USA, and Division of Allergy and Infectious Diseases, University of Washington
Seattle, WA, United States
Jason Yang, PhD

Assistant Professor and Chancellor Scholar
Rutgers New Jersey Medical School
Newark, United States
John Hanna, MD

Associate CMIO
ECU Health, NC, United States

Disclosure(s):

Susan Bleasdale Casey, MD: No financial relationships to disclose.

Amy Chang, MD, PharmD: No financial relationships to disclose.

Jason D. Goldman, MD, MPH: Adaptive Biotechnologies: Grant/Research Support; Eurofins Viracor: Grant/Research Support; Gilead Sciences Inc.: Advisor/Consultant, Grant/Research Support, Honoraria; Helix, Inc.: Grant/Research Support; Invivyd, Inc.: Advisor/Consultant; Karius, Inc: Advisor/Consultant; Merck, Sharpe & Dohme: Advisor/Consultant

Jason H. Yang, PhD: No financial relationships to disclose.

John Hanna, MD: Pieces Technologies: Advisor/Consultant

Learning Objectives:

At the conclusion of this session, participants will be able to:

explain how AI can help facilitate documentation and care for the ID clinician;
describe how AI can help predict HAIs;
analyze the ethical implications of the use of AI.

Presentations:

3:15 PM - 3:40 PM US ET

The Ambient AI Revolution in Healthcare: Redefining the Exam Room
Speaker: John Hanna, MD – ECU Health
3:40 PM - 4:05 PM US ET

Predictive Model Implementation for CLABSI
Speaker: Jason D. Goldman, MD, MPH (he/him/his) – Swedish Medical Center, Seattle, WA, USA, and Division of Allergy and Infectious Diseases, University of Washington
4:05 PM - 4:30 PM US ET

Advancing Antimicrobial Stewardship: Leveraging Artificial Intelligence For Resistance Mechanisms
Speaker: Jason H. Yang, PhD – Rutgers New Jersey Medical School