Assessment of the Modified Rankin Scale in Electronic Health Records With a Fine-Tuned Large Language Model: Development and Internal Validation.

ABSTRACT:

Background

The modified Rankin scale (mRS) is an important metric in stroke research, often used as a primary outcome in clinical trials and observational studies. The mRS can be assessed retrospectively from electronic health records (EHRs), but this process is labor-intensive and prone to interrater variability. Large language models (LLMs) have demonstrated potential in automating text classification.

Objective

We aimed to create a fine-tuned LLM that can analyze EHR text and classify mRS scores for clinical and research applications.

Methods

We performed a retrospective cohort study of patients admitted to a specialist stroke neurology service at a large academic hospital system between August 2020 and June 2023. Each patient's medical record was reviewed at two t

SUBMITTER: Silva L 

PROVIDER: S-EPMC12935414 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature