Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention.

ABSTRACT:

Background

Practice guidelines recommend anticoagulation therapy for patients with atrial fibrillation (AF) who have other risk factors putting them at an elevated risk of stroke. These patients remain undertreated, but, with increasing use of electronic healthcare records (EHRs), it may be possible to identify candidates for treatment.

Objective

To test algorithms for identifying AF patients who also have known risk factors for stroke and major bleeding using EHR data.

Materials and methods

We evaluated the performance of algorithms using EHR data from the Partners Healthcare System at identifying AF patients and 16 additional conditions that are risk factors in the CHA 2 DS 2 -VASc and HAS-BLED risk scores for stroke and major bleeding. Algorithms were based on info

SUBMITTER: Wang SV 

PROVIDER: S-EPMC7651901 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature