Developing Electronic Health Record Algorithms That Accurately Identify Patients With Systemic Lupus Erythematosus.

ABSTRACT:

Objective

To study systemic lupus erythematosus (SLE) in the electronic health record (EHR), we must accurately identify patients with SLE. Our objective was to develop and validate novel EHR algorithms that use International Classification of Diseases, Ninth Revision (ICD-9), Clinical Modification codes, laboratory testing, and medications to identify SLE patients.

Methods

We used Vanderbilt's Synthetic Derivative, a de-identified version of the EHR, with 2.5 million subjects. We selected all individuals with at least 1 SLE ICD-9 code (710.0), yielding 5,959 individuals. To create a training set, 200 subjects were randomly selected for chart review. A subject was defined as a case if diagnosed with SLE by a rheumatologist, nephrologist, or dermatologist. Positive predictive

SUBMITTER: Barnado A 

PROVIDER: S-EPMC5219863 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature