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

David A. Mayer; Luke V. Rasmussen; Christopher D. Roark; Michael G. Kahn; Lisa M. Schilling; Laura K. Wiley

doi:10.1093/jamiaopen/ooac071

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

David A. Mayer
, Luke V. Rasmussen
, Christopher D. Roark
, Michael G. Kahn
, Lisa M. Schilling
, Laura K. Wiley

Section of Neuromuscular Medicine

Research output: Contribution to journal › Review article › peer-review

3 Scopus citations

Abstract

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 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. 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.

Original language	English
Article number	ooac071
Journal	JAMIA Open
Volume	5
Issue number	3
DOIs	https://doi.org/10.1093/jamiaopen/ooac071
State	Published - Oct 1 2022

Keywords

data warehousing
electronic health records
observational studies
software

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10.1093/jamiaopen/ooac071

Cite this

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title = "ReviewR: A light-weight and extensible tool for manual review of clinical records",

abstract = "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 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. 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.",

keywords = "data warehousing, electronic health records, observational studies, software",

author = "Mayer, \{David A.\} and Rasmussen, \{Luke V.\} and Roark, \{Christopher D.\} and Kahn, \{Michael G.\} and Schilling, \{Lisa M.\} and Wiley, \{Laura K.\}",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s).",

year = "2022",

month = oct,

day = "1",

doi = "10.1093/jamiaopen/ooac071",

language = "English",

volume = "5",

journal = "JAMIA Open",

issn = "2574-2531",

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TY - JOUR

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T2 - A light-weight and extensible tool for manual review of clinical records

AU - Mayer, David A.

AU - Rasmussen, Luke V.

AU - Roark, Christopher D.

AU - Kahn, Michael G.

AU - Schilling, Lisa M.

AU - Wiley, Laura K.

PY - 2022/10/1

Y1 - 2022/10/1

N2 - 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 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. 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.

AB - 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 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. 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.

KW - data warehousing

KW - electronic health records

KW - observational studies

KW - software

UR - https://www.scopus.com/pages/publications/85142199700

U2 - 10.1093/jamiaopen/ooac071

DO - 10.1093/jamiaopen/ooac071

M3 - Review article

AN - SCOPUS:85142199700

SN - 2574-2531

VL - 5

JO - JAMIA Open

JF - JAMIA Open

IS - 3

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ER -

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

Abstract

Keywords

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