The goal of OmopViewer is to allow the user to easily create Shiny Apps to visualise study results in <summarised_result> format.

Install it from cran:

install.packages("OmopViewer")

Or you can install the development version of OmopViewer from GitHub with:

install.packages("pak")
pak::pkg_install("OHDSI/OmopViewer")

library(OmopViewer)

The package has two functionalities:

• Static app
• Dynamic app

The static shiny app functionality creates a static shiny from a list of summarised_result objects. This shiny is specific to the set of results and can be modified later locally.

# lets generate some results
library(CohortCharacteristics)
#> Warning: package 'CohortCharacteristics' was built under R version 4.4.3
cdm <- mockCohortCharacteristics()
result <- summariseCharacteristics(cdm$cohort1) |>
  bind(summariseCohortAttrition(cdm$cohort1))
#> ℹ adding demographics columns
#> ℹ summarising data
#> ℹ summarising cohort cohort_1
#> ℹ summarising cohort cohort_2
#> ℹ summarising cohort cohort_3
#> ✔ summariseCharacteristics finished!

exportStaticApp(result = result, directory = tempdir())
#> ℹ Processing data
#> ✔ Data processed: 2 panels idenfied: `summarise_cohort_attrition` and
#>   `summarise_characteristics`.
#> ℹ Creating `shiny` from provided data
#> ✔ Shiny created in:
#>   /var/folders/pl/k11lm9710hlgl02nvzx4z9wr0000gp/T//RtmpI3l244/shiny

This function allow some customisation of the shiny with the arguments:

• theme (to choose a pre-built theme or a bslib one).
• logo (you can point to one of the pre-builr logos or to a local image).
• title
• background whether to allow for an .md file for customisation of a background panel.
• summary whether to include or not a summary panel.
• panelStructure allows you to structure the different panels in dropdown menus.
• panelDetails allows you to create panels at result_id level and assign which are the outputs that we want to include in each panel.

The shiny generated will have the following structure:

• global.R loads the data.
• ui.R with all the ui code. You can edit there the buttons and its default values.
• server.R server logic, you can edit that file to change some of the displays.
• functions.R some utility functions that are used in the shiny app.
• data/result.csv the original summarised_result provided.
• data/studyData.RData the .RData file that contains the data used in the shiny.
• data/preprocess.R the file to generate studyData.RData from results.csv

The dynamic shiny app can be easily launched with launchDynamicApp() function. This function creates a shinyApp where you can upload multiple results sets and visualise them.

launchDynamicApp()

By default the shiny generated will have no data, you have to upload data from a csv or zip file that you have it locally. The summarised_results will be processed and you will be allowed to choose which results to visualise.

An example shiny can be found in: https://dpa-pde-oxford.shinyapps.io/OmopViewerExample/. This shinyApp is automatically build from main using the latest versions of omopViewerResults dataset and omopViewerPanels panels definitions.