A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation.

ABSTRACT:

Background

Best Practice Alerts (BPAs) are alert messages to physicians in the electronic health record that are used to encourage appropriate use of health care resources. While these alerts are helpful in both improving care and reducing costs, BPAs are often broadly applied nonselectively across entire patient populations. The development of large language models (LLMs) provides an opportunity to selectively identify patients for BPAs.

Objective

In this paper, we present an example case where an LLM screening tool is used to select patients appropriate for a BPA encouraging the prescription of deep vein thrombosis (DVT) anticoagulation prophylaxis. The artificial intelligence (AI) screening tool was developed to identify patients experiencing acute bleeding and exclude th

SUBMITTER: Savage T 

PROVIDER: S-EPMC10714262 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature