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

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. ReviewR is an open-source R Shiny application that c...

Full description

Saved in:
Bibliographic Details
Published inJAMIA open Vol. 5; no. 3; p. ooac071
Main Authors Mayer, David A, Rasmussen, Luke V, Roark, Christopher D, Kahn, Michael G, Schilling, Lisa M, Wiley, Laura K
Format Journal Article
LanguageEnglish
Published United States Oxford University Press 01.10.2022
Subjects
Application Notes
Computational linguistics
Electronic records
Language processing
Medical records
Natural language interfaces
data warehousing
electronic health records
software
observational studies
Online AccessGet full text

Cover

More Information
Summary: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. 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. We describe 2 real-world uses and extensions of ReviewR. Since its release in April 2021 as a package on CRAN it has been downloaded 2204 times. ReviewR provides an easily accessible review interface for clinical data warehouses. Its modular, extensible, and open source nature afford future expansion by other researchers.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2574-2531
2574-2531
DOI:10.1093/jamiaopen/ooac071