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AI Enhanced Clinical Pharmacology: Building Smarter Prescribers Through Interactive, Lifespan Centered Learning

Conference: Symposium on Data Science and Statistics (SDSS) 2026
04/29/2026: 1:15 PM - 2:45 PM CDT
Lightning 

Description

In this project on AI Powered Clinical Pharmacology: Enhancing Lifespan Based Prescribing Through Interactive Learning, I intend to develop and implement three 24/7 retrieval augmented generation (RAG) based conversational chatbots to support nurse practitioner students in mastering antimicrobial pharmacology, one of the most challenging and high stakes areas of their advanced pharmacology course. This innovative approach aligns with national priorities in nursing education and antimicrobial stewardship and has the potential to scale across other complex content areas in healthcare education. My RAG model will take the text, chunk it into parts, convert it into embeddings, create a vector database, and perform cosine similarity matching.

Keywords

AI Enhanced Clinical Pharmacology 

Presenting Author

Erika Germinario

First Author

Erika Germinario

CoAuthor(s)

Ashlyn Viereck, Creighton University
Seamus Gerner
Lindsay Iverson, Creighton University
Steven Fernandes, Creighton University

Tracks

AI and LLM Applications
Symposium on Data Science and Statistics (SDSS) 2026