ReviewR: A light-weight and extensible tool for manual review of clinical records

Objectives: Manual record review is a crucial step for electronic health
record (EHR)-based research, but it has poor workflows and is error prone.
We sought to build a tool that provides a unified environment for data
review and chart abstraction data entry. Materials and methods: ReviewR is
an open-source R Shiny application that can be deployed on a single
machine or made available to multiple users. It supports multiple data
models and database systems, and integrates with the REDCap API for
storing abstraction results. Results: We describe two real-world uses and
extensions of ReviewR. Since its release in April 2021 as a package on
CRAN it has been downloaded 2,204 times. Discussion and conclusion:
ReviewR provides an easily accessible review interface for clinical data
warehouses. Its modular, extensible, and open source nature afford future
expansion by other researchers.