A REDCap-to-R Pipeline for Interactive Body Map Visualizations in Cutaneous Oncology

Photo by Dariusz Sankowski on Unsplash

OVERVIEW

  • Optimal Data Visualizations of patient-level data can facilitate data analysis and hypothesis generation
  • Real World Data Collection efforts with an Electronic Data Capture (EDC) system like REDCap can be enhanced with well-designed pipelines using advanced data analytical software such as R
  • The objective of this post is to generate an interactive data visualization of positional data, e.g.┬áskin cancer lesions on a body map, that is captured in REDCap and processed in R
  • In this post, we demonstrate, step-by-step, the pipeline to make the following Body Map Interactive

  • Of note, all clinical data is simulated. Any relation to actual patients is purely coincidental
  • If you have not used the above hyperlink, please click here to be taken to the html document that will walk you step-by-step through our pipeline
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David Michael Miller
Medical Oncologist and Dermatologist

My research interests include clinical and translational research in advanced skin cancers.

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