PharmacyGPT: exploration of artificial intelligence for medication management in the intensive care unit.

ABSTRACT:

Background

The purpose of this evaluation was to develop a novel framework for large language model (LLMs) iterative prompt optimization for the specialized domain of medication decision-making in the intensive care unit (ICU). This serves as a first step towards the use of LLMs as clinical decision support (CDS) tools capable of performing pharmacy related tasks.

Methods

Using a cohort of 1,000 adult patients managed in the ICU for greater than 24 h, an iterative optimization process in the GPT-4 framework was applied to enhance performance of various medication-related tasks, including patient disease state clustering by medication regimen, medication regimen generation, and outcome prediction with the intent to develop PharmacyGPT. Within this feedback loop, the input pro

SUBMITTER: Liu Z 

PROVIDER: S-EPMC12570815 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature