1. Detecting anomalies in clinical data using interactive graphics
Becca Krouse & Jeremy Wildfire
Rho, Inc.
November 13, 2018

2. Introductions About us About Rho, Inc.
Mid-sized, full-service CRO in the triangle area
Revenue source
50% commercial sponsors
50% federal agencies
Rho Center for Applied Data Visualization
Build tools tailored to clinical trials research

3. Outline History and motivation Approach Demo Wrap up Design process
Development process
Technology
Demo
Safety charts – web & R
Codebook – web & R
eDISH
Wrap up

4. History and Motivation
Clinical trials require frequent and careful monitoring of safety data
Issues with traditional methods of reporting, monitoring, and analyzing based on static tables and listings

5. Traditional AE table display

6. History and Motivation
Data visualizations allow user to quickly digest patterns within the data
However, static graphics are limited to a single snapshot
Can fall short if study is large or complex
Solution: interactive web-based tools
Quickly observe patterns
User can interact with the data in real time
Drill down to details of interest

7. Approach

8. Design process What makes a good tool?
Fulfill basic reporting needs
Improve accessibility and understanding of data
Help separate signal from the noise
Quick set up and customization process
Based on standardized data
Easy to share
Design decisions for new tools are informed by older ones

9. Development process

10. Development process Agile development Start simple, add features
Code reviews and testing
Internally, tools are used by study teams and for projects where Rho provides medical monitoring
Constant feedback loop
Everything is under active development

11. Technology JavaScript HTML CSS + + R wrapper Web library + Web-based
R interface
JavaScript
HTML
CSS + + D3
Webcharts
R wrapper
(HTML Widgets)
R functions
Web library +
Shiny Apps

12. Demo

13. Future work Continue to build and refine our web toolset
Emphasis on R development
Building out R interfaces for existing tools
Statistical integration

14. Contact Us
GitHub: github.com/RhoInc

15. Questions?

16. Links Rho Github site: github.com/RhoInc Web examples:
Safety charts:
Paneled outlier explorer:
Web-codebook explorer:
eDISH:
R examples:
safetyexploreR package
Github: RhoInc/safetyexploreR
Shiny apps:
Becca-krouse.shinyapps.io/aetableapp
Becca-krouse.shinyapps.io/safetyapp
Datadigest package
GitHub: RhoInc/datadigest
CRAN: