Natural language processing to identify reasons for sex disparity in statin prescriptions.

ABSTRACT:

Background

Statins are the cornerstone of treatment of patients with atherosclerotic cardiovascular disease (ASCVD). Despite this, multiple studies have shown that women with ASCVD are less likely to be prescribed statins than men. The objective of this study was to use Natural Language Processing (NLP) to elucidate factors contributing to this disparity.

Methods

Our cohort included adult patients with two or more encounters between 2014 and 2021 with an ASCVD diagnosis within a multisite electronic health record (EHR) in Northern California. After reviewing structured EHR prescription data, we used a benchmark deep learning NLP approach, Clinical Bidirectional Encoder Representations from Transformers (BERT), to identify and interpret discussions of statin prescriptions doc

SUBMITTER: Witting C 

PROVIDER: S-EPMC10147966 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature