Development of Phenotyping Algorithms for the Identification of Organ Transplant Recipients: Cohort Study.

ABSTRACT:

Background

Studies involving organ transplant recipients (OTRs) are often limited to the variables collected in the national Scientific Registry of Transplant Recipients database. Electronic health records contain additional variables that can augment this data source if OTRs can be identified accurately.

Objective

The aim of this study was to develop phenotyping algorithms to identify OTRs from electronic health records.

Methods

We used Vanderbilt's deidentified version of its electronic health record database, which contains nearly 3 million subjects, to develop algorithms to identify OTRs. We identified all 19,817 individuals with at least one International Classification of Diseases (ICD) or Current Procedural Terminology (CPT) code for organ transplantation. We p

SUBMITTER: Wheless L 

PROVIDER: S-EPMC7759442 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature