70 - Machine Learning for Health Care Epidemiology and Antimicrobial Stewardship

Thursday, October 12, 2023

1:45 PM – 3:00 PM US ET

Location: 253 ABC

All relevant financial disclosures have been mitigated.

Moderator(s)

Alex Kallen, MD, MPH (he/him/his)

Branch Chief
Centers for Disease Control and Prevention
Atlanta, GA, United States
Rachel Slayton, PhD, MPH

Director, Office of Mathematical Modeling, Division of Healthcare Quality Promotion
Division of Healthcare Quality Promotion
Centers for Disease Control and Prevention
Atlanta, GA, United States

Faculty(s)

M Cristina Vazquez-Guillamet, MD (she/her/hers)

Associate Professor of Medicine
Washington University in St Louis
Saint Louis, MO, United States

Slides
Sanjat Kanjilal, MD, MPH

Assistant Professor
Population Medicine
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute
Cambridge, MA, United States

Slides
Westyn Branch-Elliman, MD

Associate Professor of Medicine at Harvard Medical School
VA Boston Healthcare System, VA National Artificial Intelligence Institute
West Roxbury, MA, United States

Slides

Disclosure(s):

Alex Kallen, MD, MPH: No financial relationships to disclose

Rachel Slayton, PhD, MPH: No financial relationships to disclose

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: JA0007082-0000-23-002-L01-P

Learning Objectives:

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

describe the use of machine learning to address gaps in epidemiology and prevention of infectious diseases;
investigate applications for machine learning for healthcare-associated infections;
explain ways machine learning can be used to inform antibiotic stewardship efforts

Presentations:

1:45 PM – 2:10 PM US ET

Artificial Intelligence to Fill Knowledge Gaps in Epidemiology and Prevention
Speaker: M Cristina Vazquez-Guillamet, MD (she/her/hers) – Washington University in St Louis
2:10 PM – 2:35 PM US ET

Machine Learning to Improve Antibiotic Stewardship
Speaker: Sanjat Kanjilal, MD, MPH – Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute
2:35 PM – 3:00 PM US ET

Artificial Intelligence and Machine Learning to Support Real-Time Infection Surveillance and Stewardship: The Implementation Science Perspective
Speaker: Westyn Branch-Elliman, MD – VA Boston Healthcare System, VA National Artificial Intelligence Institute