REDCap

StoryboardR - An R Package and Shiny Application Designed to Visualize Real-World Data From Clinical Patient Registries

We created StoryboardR, an R package and Shiny application facilitates the data visualization of real-world data from tumor registries captured in REDCap®.

Generalizable EHR-R-REDCap Pipeline for a National Multi-Institutional Rare Tumor Patient Registry

We present a clinical informatics pipeline designed to capture large-scale structured laboratory EHR data.

Optimizing Real-World Data Collection: The Lesion Information Electronic Data Capture Instrument

We publish the data dictionary for our Lesion Information data collection instrument

Data Quality Improvement in Cancer Registries- Error-Injection Tests

A proposed workflow for monitoring completion of retrospective records in a patient registry hosted on `REDCap`

Optimizing Real-World Data Collection: Genomics Electronic Data Capture Instrument

We publish the data dictionary for our genomics data collection instrument

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

A data science tool for interactive visualizations of skin cancer lesions

Optimizing Real-World Data Collection: Clinical Genomics

Facilitate capture of real-world next-generation genomic data

Tutorial Series on the Instruments of the Merkel Cell Carcinoma Patient Registry: Presentation and Initial Staging

Outlining the development of the "Presentation and Initial Staging Instrument" of the Merkel Cell Carcinoma Patient Registry

Optimizing Real World Data Collection: Flagging Prospective Records for Future Update

A proposed workflow for flagging prospective records for future updates in a patient registry hosted on `REDCap`

Optimizing Real World Data Collection: Routine Maintenance of Prospective Records

A proposed workflow for monitoring completion of retrospective records in a patient registry hosted on `REDCap`