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Data Visualization for Clinical Trials Data Management and Operations

  • Ted Snyder
Chapter

Abstract

Clinical development today requires orchestrating an ever-increasing number of data sources, from trial data in electronic data capture (EDC) systems and third party data transfers to operational data in clinical trial management systems (CTMS). As the number of data sources increases, so too do the headaches caused by data quality issues and the need for timely integration, as well as the operational challenges of orchestrating a cross-functional team and third party clinical research organizations (CRO).

Data visualization is becoming an important tool that allows organizations to better understand and work through many of these issues. It can help identify data and process issues early, reduce the time to lock the database, improve resource planning, and facilitate better communication amongst project teams. The following pages provide some example visualizations that illustrate practical uses of data visualization throughout the lifecycle of a clinical trial.

Keywords

Data Visualization Interactive Voice Response Electronic Data Capture Source Unit Data Quality Issue 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, New York 2012

Authors and Affiliations

  1. 1.Clinical Informatics, Infinity PharmaceuticalsCambridgeUSA

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