Free Webinar – Artificial Intelligence (AI) Bias Considerations in Drug Diversion Detection and Prevention Programs



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An increasing number of health systems are embracing advanced analytics and artificial intelligence (AI) solutions to support drug diversion investigation and monitoring. AI can meaningfully improve the efficiency and efficacy of drug dispensing, administration, and waste monitoring. It also brings new challenges that providers may be unfamiliar with including measurement error and AI bias. This presentation will include an introduction to AI, the benefits, and biases including common causes, impact, and proactive solutions as health systems monitor drug diversion, and strategies to minimize AI bias.

Presented by Speakers

Samantha Bastow webinar speaker for IHFDA

Samantha Bastow, PharmD, MBA

Senior Manager in Medical Affairs at Becton Dickinson (BD)

Samantha Bastow is an Associate Director of Clinical Integration in Medical Affairs at Becton Dickinson (BD). In this role she is responsible for overseeing and managing both the clinical and administrative aspects of the medical division of business. This includes innovation and new product and business development, lifecycle clinical evidence generation, market shaping and development, and safety and compliance.

Prior to joining BD, Samantha served as a Senior Solution Advisor at Lumere/GHX where she supported the development of pharmacy analytics software as the clinical subject matter expert. She also led client support to identify cost savings and care variation opportunities, develop clinical and operational strategies to improve medication use, and streamline formulary management processes for health systems across the US.

Prior to Samantha’s tenure at Lumere, she served as the Director of Clinical Pharmacy Services at the University of Chicago Medical Center, where she led inpatient and emergency clinical pharmacy service lines, in addition to formulary management, clinical decision support, business development, research and academic responsibilities.

Samantha holds a PharmD from Palm Beach Atlantic University and a MBA with a specialization in data analytics from the University of Illinois. She completed a PGY1 residency at Sarasota Memorial Hospital followed by an Emergency Medicine Pharmacy residency at Boston Medical Center.  Of relevance to this discussion, Samantha is currently leading the workgroup for the revision of the ASHP Statement Paper on the Use of Artificial Intelligence in Pharmacy.

Scott Smith, PhD

Director of Data Science at Becton Dickinson (BD)

Scott Smith is Director of Data Science at Becton Dickinson (BD). He leads development of data science strategy and supports the Data Science Community of Practice. He is also responsible for prioritizing data science architecture investments, as well as development of product performance metrics and data products.

Prior to joining BD, Scott was a Sr. Manager of Data Science and then Director of Network Strategy at Cigna, leveraging advanced analytics to identify healthcare quality and efficiency opportunities across markets. Scott has also worked for Elevance Health (Anthem) and for Westat as a federal contractor supporting the Agency for Healthcare Research and Quality, the Centers for Disease Control and Prevention, the Centers for Medicare and Medicaid Services, Veterans Affairs, and the Department of Defense.

Scott holds a PhD in Communication from Florida State University. He is currently leading efforts to identify the minimum data architecture, tools, and clinician oversight to develop and deploy AI/ML healthcare products.