Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance.

ABSTRACT:

Objective

To evaluate the phenotyping performance of three major electronic health record (EHR) components: International Classification of Disease (ICD) diagnosis codes, primary notes, and specific medications.

Materials and methods

We conducted the evaluation using de-identified Vanderbilt EHR data. We preselected ten diseases: atrial fibrillation, Alzheimer's disease, breast cancer, gout, human immunodeficiency virus infection, multiple sclerosis, Parkinson's disease, rheumatoid arthritis, and types 1 and 2 diabetes mellitus. For each disease, patients were classified into seven categories based on the presence of evidence in diagnosis codes, primary notes, and specific medications. Twenty-five patients per disease category (a total number of 175 patients for each disease

SUBMITTER: Wei WQ 

PROVIDER: S-EPMC4954637 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature