Rise of The Machine: Empowering a Diversion Monitoring Program Using Machine Learning

Sunday, December 4, 2022

3:30 PM – 5:00 PM

Location: Mandalay Bay South Convention Center, Oceanside D, Level 2

CE Credits: 1.50 contact hours

Planned in cooperation with the ASHP Section of Informatics and Technology
Activity #: 0204-0000-22-221-L04-P
Activity #: 0204-0000-22-221-L04-T
Activity Type: Knowledge-based
Target Audience: Pharmacist, Pharmacy Technician

Learning Objectives:

Describe best practices in Controlled Substance Diversion Prevention Programs.
Define the key aspects of a Controlled Substance Diversion Prevention Program that can be automated.
Describe key data analytics techniques, including machine learning, to promote drug diversion program best practices.

Program Chair(s)

David Aguero, PharmD, MSTL, DPLA

Director, Medication Systems and Informatics
St. Jude Children's Research Hospital

Moderator(s)

Ben Moore, PharmD, MS

Pharmaceutical Data Analytics Coordinator
St. Jude Children's Research Hospital

Faculty Member(s)

William A. Humphrey, DPh, MS, MBA

Director, Pharmacy Operations
St. Jude Children's Research Hospital
Mary Nelson, MSN, RN

Drug Diversion Program Manager
HonorHealth
Alex Rodriguez, MHIIM

Lead Compliance Data Analyst
St. Jude Children's Research Hospital