Artificial intelligence (AI) has the potential to help health systems improve clinical practice and patient safety by supporting smarter and more efficient decision making. This session will discuss the success factors necessary to optimize data analytics within healthcare by exploring the practical application of AI to address drug diversion management – a key concern for hospital administration in the face of the opioid crisis. The University of Virginia team will share their experience in using these applied analytics to analyze opioid transactions to expedite the identification of practice problems and threats of diversion.

Learning Objective #1 Understand the success factors necessary to optimize data analytics across information systems to enable Artificial Intelligence (AI)

Learning Objective #2 Define drug diversion and its prevalence within healthcare

Learning Objective #3 Demonstrate the use of AI/Machine Learning to address diversion management within the hospital

Katelyn Hipwell, PharmD, MPH, Pharmacy Clinical Operations Manager, University of Virginia Health System (UVA)

W. Perry Flowers, RPh, MS, VP Medical Affairs, Enterprise Medication Management, BD

Scott Loebig, VP Research & Development, BD