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ReviewR: A Light-Weight, Portable Tool for Reviewing Individual PatientRecords

A portable Shiny tool to explore patient-level electronic health record data and perform chart review in a single integrated framework. This tool supports browsing clinical data in many different formats including multiple versions of the 'OMOP' common data model as well as the 'MIMIC-III' data model. In addition, chart review information is captured and stored securely via the Shiny interface in a 'REDCap' (Research Electronic Data Capture) project using the 'REDCap' API. See the 'ReviewR' website for additional information, documentation, and examples.

Version:	2.3.10
Depends:	R (≥ 3.5.0)
Imports:	bigrquery (≥ 1.2.0),config,DBI,dbplyr,dplyr (≥ 1.0.0),DT,gargle,glue,golem,httr,jsonlite,magrittr,purrr,redcapAPI,REDCapR,rlang (≥ 0.4.7),RPostgres,RSQLite,shiny (≥ 1.5.0),shinycssloaders (≥ 1.0.0),shinydashboard,shinydashboardPlus (≥ 2.0.0),shinyjs,shinyWidgets (≥0.6.0),snakecase,stringr,tibble,tidyr (≥ 1.1.0)
Suggests:	fs,gt,here,htmltools,knitr,pkgload,processx,readr,rmarkdown,rstudioapi,spelling,testthat (≥ 2.1.0),usethis
Published:	2023-09-01
DOI:	10.32614/CRAN.package.ReviewR
Author:	Laura Wiley [aut], Luke Rasmussen [aut], David Mayer [cre, aut], The Wiley Lab [cph, fnd]
Maintainer:	David Mayer <david.mayer at cuanschutz.edu>
BugReports:	https://github.com/thewileylab/ReviewR/issues
License:	BSD_3_clause + fileLICENSE
URL:	https://reviewr.thewileylab.org/,https://github.com/thewileylab/ReviewR/
NeedsCompilation:	no
Language:	en-US
Citation:	ReviewR citation info
Materials:	README,NEWS
In views:	WebTechnologies
CRAN checks:	ReviewR results

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