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Big Data, Big Bias: Understanding Underlying Biases in AI and CDS

Broadcast Date: March 4, 2022


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As technology advances and you continue to automate your pharmacy, have you ever asked yourself if your software solutions are the right fit for the patient population you serve? This podcast seeks to open your eyes to potential biases that could be present in your use of artificial intelligence, machine learning, and clinical decision support. Join our mixed clinical and industrial panel of experts as we discuss challenges associated with bias and potential mitigating strategies to overcome.


Pooja OjhaPooja Ojha, PharmD is the PGY-2 Pharmacy Informatics Resident at Mayo Clinic in Rochester, MN. Pooja completed pharmacy school at the University of Houston College of Pharmacy. She went on to complete a PGY-1 Pharmacy Residency at Piedmont Columbus Regional Midtown in Columbus, GA. Pooja’s professional interests as they pertain to informatics pharmacy are clinical decision support and automation. In her free time, Pooja likes to explore different types of food and explore the outdoors.

Craig GreszlerCraig Greszler, PharmD, MBA, BCSCP, is a Senior Manager of Medical Affairs with Becton, Dickinson and Company (BD). Primary responsibilities in his current role include clinical oversight of select product lines in BD’s portfolio, with specialized interests including artificial intelligence, clinical decision support, and IV workflow management solutions. He graduated with his PharmD from Northeast Ohio Medical University (NEOMED) and his MBA from the University of Toledo.

Neil RatcliffNeil Ratcliff is a pharmacist and healthcare technology enthusiast with over 10 years of experience in acute care and telepharmacy. His personal mission is to positively impact the health of as many people as possible using data informed action, product management, and servant leadership.

He’s currently Technical Product Manager at Becton, Dickinson and Company (BD), responsible for leading the product roadmap for the HealthSight Data Manager solution that provides enterprise formulary management across BD products.

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.