The Future is Now: AI and Machine Learning in Medicine

Friday, March 24, 2023

8:00 AM – 9:00 AM

Location: Convention Center, Room 125A

CPE Credit 1 Hours

Continuing Pharmacy Education (CPE) Credit

ACPE Number: 0202-0000-23-100-L99-P
Activity Type: Knowledge
Number of Hours: 1

Speaker(s)

Adrijana Kekic, PharmD

Pharmacogenomics Clinical Specialist
Mayo Clinic

Presentation PDF
Jenny Lo-Ciganic, MSPharm, MS, PhD (she/her/hers)

Associate Professor
University of Florida College of Pharmacy
Gainesville, Florida

Disclosure(s):

Adrijana Kekic, PharmD: No financial relationships to disclose

Jenny Lo-Ciganic, MSPharm, MS, PhD: No financial relationships to disclose

Artificial Intelligence (AI) and Machine Learning (ML) have developed a larger role within medicine and healthcare. From programs that track drug utilization to systems that flag drug interactions, automation technology has taken on tasks to relieve some aspects of care and barriers for healthcare professionals. This session aims to discuss the implications of AI and ML and how to navigate a world with new technology.

Learning Objectives:

Identify examples of current technology and their place in pharmacy workflow.
Describe health outcomes and the impact artificial intelligence and machine learning have had on medicine.
Discuss job forecast and implications for the practice of pharmacy.