203 - Improving Health Equity Using Advanced Analytic Methods

Wednesday, October 22, 2025

10:30 AM - 11:45 AM US ET

Location: B308-B309

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)

DZ

Danielle Zerr, MD MPH (she/her/hers)

Professor Pediatric Infectious Diseases/Med. Dir. Infection Prevention
University of Washington/Seattle Children's Hospital
Seattle, WA, United States
Lindsay Keegan, PhD

Research Assistant Professor
University of Utah
Salt Lake City, UT, United States

Faculty(s)

Cristina Lanzas

North Carolina State
MV

Miriam Van Dyke, PhD MPH

Scientist
Independent Consultant
SP

Sriram Pemmaraju

University of Iowa

Disclosure(s):

Danielle M. Zerr, MD MPH: Allovir, Inc: Advisor/Consultant; Merck and Company, Inc.: Grant/Research Support

Lindsay T. Keegan, PhD: No financial relationships to disclose.

Cristina Lanzas: No financial relationships to disclose.

Miriam Van Dyke, PhD MPH: No financial relationships to disclose.

Sriram Pemmaraju: No financial relationships to disclose.

Learning Objectives:

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

summarize how including health equity in statistical modeling can help improve decision; making in healthcare-associated infections and antimicrobial resistance;
explain models and algorithms that can be used for equitable vaccine allocation;
review how machine learning can be used to improve health equity.

Presentations:

10:30 AM - 10:55 AM US ET

Including Health Equity in Health Care-Associated Infections and Antimicrobial Resistance Modeling to Improve Decision Making
Speaker: Miriam Van Dyke, PhD MPH – Independent Consultant
10:55 AM - 11:20 AM US ET

Models and Algorithms for Equitable Vaccine Allocation
Speaker: Sriram Pemmaraju – University of Iowa
11:20 AM - 11:45 AM US ET

Exploring Opportunities to Improve Health Equity With Machine Learning
Speaker: Cristina Lanzas – North Carolina State