Applying Machine Learning Models to Predict Medication Non-Adherence in IBD Patients

Broadcast Date: February 25, 2025

ABOUT THIS PODCAST

This podcast explores the intersection of pharmacy and technology, focusing on how machine learning (ML) models are being used to predict medication non-adherence in patients with inflammatory bowel disease (IBD). Dr. Gina Luchen, Director of Digital Health and Data at ASHP and Dr. Christian Rhudy, Associate Director of Quality and Outcomes Research at the University of Kentucky HealthCare discuss Dr. Rhudy’s recent ML model research, key findings, and the potential applications of these models across different patient populations.

SPEAKERS

Christian Rhudy, PharmD, MBA
Associate Director, Quality and Outcomes Research for Pharmacy Services & Assistant Adjunct Professor at UK College of Pharmacy
Gina Luchen, PharmD
Director of Digital Health and Data at ASHP

LISTEN ON

The information presented during the podcast reflects solely the opinions of the presenter. The information and materials are not, and are not intended as, a comprehensive source of drug information on this topic. The contents of the podcast have not been reviewed by ASHP, and should neither be interpreted as the official policies of ASHP, nor an endorsement of any product(s), nor should they be considered as a substitute for the professional judgment of the pharmacist or physician.

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