ReviewR: A light-weight and extensible tool for manual review of clinical records
<p>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.</p> <p>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.</p> <p>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.</p> <p>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. </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 12
- Access
- 12
- Reuse readiness
- 0
- Engagement
- 12