A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data.

ABSTRACT:

Objectives

Electronic health records (EHR) are commonly used for the identification of novel risk factors for disease, often referred to as an association study. A major challenge to EHR-based association studies is phenotyping error in EHR-derived outcomes. A manual chart review of phenotypes is necessary for unbiased evaluation of risk factor associations. However, this process is time-consuming and expensive. The objective of this paper is to develop an outcome-dependent sampling approach for designing manual chart review, where EHR-derived phenotypes can be used to guide the selection of charts to be reviewed in order to maximize statistical efficiency in the subsequent estimation of risk factor associations.

Materials and methods

After applying outcome-dependent samplin

SUBMITTER: Yin Z 

PROVIDER: S-EPMC8714286 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature