Proactive Polypharmacy Management Using Large Language Models: Opportunities to Enhance Geriatric Care.

ABSTRACT: Polypharmacy remains an important challenge for patients with extensive medical complexity. Given the primary care shortage and the increasing aging population, effective polypharmacy management is crucial to manage the increasing burden of care. The capacity of large language model (LLM)-based artificial intelligence to aid in polypharmacy management has yet to be evaluated. Here, we evaluate ChatGPT's performance in polypharmacy management via its deprescribing decisions in standardized clinical vignettes. We inputted several clinical vignettes originally from a study of general practicioners' deprescribing decisions into ChatGPT 3.5, a publicly available LLM, and evaluated its capacity for yes/no binary deprescribing decisions as well as list-based prompts in which the model was prompte

SUBMITTER: Rao A 

PROVIDER: S-EPMC12042286 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature