AI-Powered Drug Classification and Indication Mapping for Pharmacoepidemiologic Studies: Prompt Development and Validation

GPT-4o offers cost-effective drug classification from RWD without violating any terms of service. Using a chain-of-thought prompting technique, GPT-4o can reason about drug dosages that affect the class. The wide accessibility of LLMs gives every research team the ability to classify drugs at scale, a key prerequisite of pharmacoepidemiologic research.

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Publication Details

Journal
JMIR AI
Published
2025-04-14
DOI
https://doi.org/10.2196/65481
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

AI-Powered Drug Classification and Indication Mapping for Pharmacoepidemiologic Studies: Prompt Development and Validation

Isaac R. Rodriguez‐Chavez, Benjamin Alexander Ogorek, Thomas Patrick Rhoads, Eric Scott Finkelman
1 citations
JMIR AI
Computational Drug Discovery Methods
1.50
article

AI-Powered Drug Classification and Indication Mapping for Pharmacoepidemiologic Studies: Prompt Development and Validation

Isaac R. Rodriguez‐Chavez, Benjamin Alexander Ogorek, Thomas Patrick Rhoads, Eric Scott Finkelman
article en
1 citations

Abstract

GPT-4o offers cost-effective drug classification from RWD without violating any terms of service. Using a chain-of-thought prompting technique, GPT-4o can reason about drug dosages that affect the class. The wide accessibility of LLMs gives every research team the ability to classify drugs at scale, a key prerequisite of pharmacoepidemiologic research.

JMIR AIVol. 4
Spencer Foundation (US), Hydrosolutions (Switzerland) (CH)
Openalex Percentile: Top 18%
Computational Drug Discovery Methods
1.50
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