Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

ABSTRACT:

Objective

Electronic health records (EHRs) are an increasingly common data source for clinical risk prediction, presenting both unique analytic opportunities and challenges. We sought to evaluate the current state of EHR based risk prediction modeling through a systematic review of clinical prediction studies using EHR data.

Methods

We searched PubMed for articles that reported on the use of an EHR to develop a risk prediction model from 2009 to 2014. Articles were extracted by two reviewers, and we abstracted information on study design, use of EHR data, model building, and performance from each publication and supplementary documentation.

Results

We identified 107 articles from 15 different countries. Studies were generally very large (median sample size = 26 100) a

SUBMITTER: Goldstein BA 

PROVIDER: S-EPMC5201180 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature