Skip to main content
Log in

The Safety Explorer Suite: Interactive Safety Monitoring for Clinical Trials

  • Clinical Trials: Original Article
  • Published:
Therapeutic Innovation & Regulatory Science Aims and scope Submit manuscript

Abstract

Background

Frequent and thorough monitoring of patient safety is a requirement of clinical trials research. Safety data are traditionally reported in a tabular or listing format, which often translates into many pages of static displays. This poses the risk that clinically relevant signals will be obscured by the sheer volume of data reported. Interactive graphics enable the delivery of the vast scope of information found in traditional reports, but allow the user to interact with the charts in real time, focusing on signals of interest.

Methods

Clinical research staff, including biostatisticians, project managers, and a medical monitor, were consulted to guide the development of a set of interactive data visualizations that enable key safety assessments for participants. The resulting “Safety Explorer” is a set of 6 interactive, web-based, open source tools designed to address the shortcomings of traditional, static reports for safety monitoring.

Results

The Safety Explorer is freely available on GitHub as individual JavaScript libraries: Adverse Event Explorer, Adverse Event Timelines, Safety Histogram, Safety Outlier Explorer, Safety Results Over Time, and Safety Shift Plot; or in a single combined framework: Safety Explorer Suite. The suite can also be utilized through its R interface, the safetyexploreR package.

Conclusions

The Safety Explorer provides interactive charts that contain the same information available in standard displays, but the interactive interface allows for improved exploration of patterns and comparisons. Medical Monitors, Safety Review Boards, and Project Teams can use these tools to effectively track and analyze key safety variables and study endpoints.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bostock M, Vadim O, Heer J. D3 data-driven documents. IEEE Trans Visual Comput Graph. 2011;17:2301–2309.

    Article  Google Scholar 

  2. Broman KW. R/qtlcharts: interactive graphics for quantitative trait locus mapping. Genetics. 2015;199:359–361.

    Article  Google Scholar 

  3. Degust: RNA-seq exploration, analysis and visualisation [computer program]. Version 3.1.02017.

  4. Su S, Law CW, Ah-Cann C, Asselin-Labat ML, Blewitt M, Ritchie M. Glimma: interactive graphics for gene expression analysis. Bioinformatics. 2017;33:2050–2052.

    Article  CAS  Google Scholar 

  5. PhUSE. Data visualisations for clinical data. http://www.phusewiki.org/wiki/index.php?title=Data_Visualisations_for_Clinical_Data. Published 2017. Accessed December 8, 2017.

  6. Soukup M. FDA/Industry/Academia Safety Graphic Working Group Charter. http://www.ctspedia.org/do/view/CTSpedia/SafetyGraphicsCharter. Published 2017. Accessed December 8, 2017.

  7. Cooper C. Use of new tools for safety analysis. https://www.fda.gov/downloads/AboutFDA/CentersOffices/CDER/ucm118818.pdf. Published 2017. Accessed August 16, 2017.

  8. Herson J. Data and Safety Monitoring Committees in Clinical Trials. 2nd ed. New York: Chapman and Hall/CRC; 2016.

    Google Scholar 

  9. Zink RC. Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP® and SAS®. Cary, NC: SAS Institute; 2014.

    Google Scholar 

  10. O’Connell M, Pietzko K. Interactive clinical data review for safety assessment and trial operations management Paper presented at: PhUSE 2010 Conference Proceedings 2010; Berlin, Germany.

  11. Shneiderman B. The eyes have it: a task by data type taxonomy for information visualizations. Paper presented at: Proceedings 1996 IEEE Symposium on Visual Languages 1996; Boulder, CO.

  12. Bryant NW, Wildfire J. Webcharts—a web-based charting library for custom interactive data visualization. J Open Res Software. 2016;4.

  13. htmlwidgets: HTML Widgets for R [computer program]. Version 0.92017.

  14. RStudio: Integrated Development for R. [computer program]. Boston, MA: RStudio, Inc; 2016.

  15. rmarkdown: Dynamic Documents for R [computer program]. Version 1.62017.

  16. shiny: Web Application Framework for R [computer program]. Version 1.0.42017.

  17. CDISC. Analysis Data Model (AdAM). https://www.cdisc.org/standards/foundational/adam. Published 2017. Accessed August 16, 2017.

  18. Study Data Technical Conformance Guide. US Food and Drug Administration; 2017.

  19. Amit O, Heiberger RM, Lane PW. Graphical approaches to the analysis of safety data from clinical trials. Pharma Stat. 2008;7:20–35.

    Article  Google Scholar 

  20. Harrell FE. Principles of graph construction. Vanderbilt Univiersity School of Medicine, Department of Biostatistics; 2014. http://biostat.mc.vanderbilt.edu/wiki/pub/Main/StatGraphCourse/graphscourse.pdf. Accessed August 16, 2017.

  21. NIH policy for data and safety monitoring. National Institutes of Health; 1998.

  22. Leek JTP, Roger D. Statistics: P values are just the tip of the iceberg. Nat News. 2015;520:612.

    Article  CAS  Google Scholar 

  23. Electronic records; Electronic signatures. 21 CFR pt. 11; 1997.

  24. Estrin D, Sim I. Open mHealth architecture: an engine for health care innovation. Science. 2010;330:759–760.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ryan Bailey MA.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wildfire, J., Bailey, R., Krouse, R.Z. et al. The Safety Explorer Suite: Interactive Safety Monitoring for Clinical Trials. Ther Innov Regul Sci 52, 696–700 (2018). https://doi.org/10.1177/2168479018754846

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1177/2168479018754846

Keywords

Navigation