Development and Validation of an Electronic Medical Record Algorithm to Identify Phenotypes of Rotator Cuff Tear.

ABSTRACT:

Background

A lack of studies with large sample sizes of patients with rotator cuff tears is a barrier to performing clinical and genomic research.

Objective

To develop and validate an electronic medical record (EMR)-based algorithm to identify individuals with and without rotator cuff tear.

Design

We used a deidentified version of the EMR of more than 2 million subjects. A screening algorithm was applied to classify subjects into likely rotator cuff tear and likely normal rotator cuff groups. From these subjects, 500 likely rotator cuff tear and 500 likely normal rotator cuff were randomly chosen for algorithm development. Chart review of all 1000 subjects confirmed the true phenotype of rotator cuff tear or normal rotator cuff based on magnetic resonance imaging and

SUBMITTER: Gao C 

PROVIDER: S-EPMC7593991 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature