Identifying Deprescribing Opportunities With Large Language Models in Older Adults: Retrospective Cohort Study.

ABSTRACT:

Background

Polypharmacy, the concurrent use of multiple medications, is prevalent among older adults and associated with increased risks for adverse drug events including falls. Deprescribing, the systematic process of discontinuing potentially inappropriate medications, aims to mitigate these risks. However, the practical application of deprescribing criteria in emergency settings remains limited due to time constraints and criteria complexity.

Objective

This study aims to evaluate the performance of a large language model (LLM)-based pipeline in identifying deprescribing opportunities for older emergency department (ED) patients with polypharmacy, using 3 different sets of criteria: Beers, Screening Tool of Older People's Prescriptions, and Geriatric Emergency Medication S

SUBMITTER: Socrates V 

PROVIDER: S-EPMC12032504 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature