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Generative AI: Impact on Administrative Functions (CE)

June 22, 2024


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This podcast will focus on how generative artificial intelligence (AI) impacts administrative aspects of pharmacy practice. We will focus on current technologies and future applications of generative AI in this space.


Pooja OjhaPooja Ojha (she/her) is a medication management informaticist at Mayo Clinic in Rochester, MN. Ojha completed pharmacy school at the University of Houston College of Pharmacy. She completed a post-graduate year 1 pharmacy residency at Piedmont Columbus Regional Midtown in Columbus, GA and then pursued a post-graduate year 2 pharmacy informatics residency at Mayo Clinic. Her professional interests as they pertain to informatics pharmacy are clinical decision support and automation. 

Charity LoputCharity M. Loput (she/her) is a manager on the Expanse Provider Product team at HCA Healthcare in Nashville, Tennessee. She received her PharmD from the University of Georgia in 2017, completed her post-graduate year 1 pharmacy practice residency at Erlanger Health System in 2018, and post-graduate year 2 pharmacy informatics residency at HCA Healthcare in 2019. Loput leads a team of eight provider content informaticists driving the Electronic Health Record (EHR) conversion efforts to the Expanse platform. Drawing from seven years of experience as a clinical pharmacist and informaticist, her focus areas include patient safety, care delivery, systems design, and supporting strategic initiatives, including EHR standardization and delivering evidence-based care within the 180+ hospital system. 

Diana Schreier Diana Schreier (she/her) earned her PharmD and MBA degrees from Drake University in Des Moines, Iowa. She completed a post-graduate year 1 pharmacy practice residency and a post-graduate year 2 pharmacy informatics residency at Mayo Clinic Hospital – Rochester. She is currently the senior manager of pharmacy reporting and analytics at Mayo Clinic, Rochester and has interests in reporting, clinical decision support, advanced analytics, artificial intelligence, and clinical research. 

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.