The promise of wearables and sensor data for clinical trials includes collecting data that demonstrates new drugs are safe and efficacious and making the trials more efficient, less intrusive and less expensive.
The use of devices in clinical trials requires logistics, scientific, biostatistics, health economics and technology expertise. The data generated from wearables must be transferred securely from the wearable sensor while protecting patient privacy. In addition, the data are substantial in terms of frequency and volume and approach “big data” designation. Tools like PI Vision are critical here as the volume of this data requires new approaches to analytics and presentation to users. The science, logistics, data management, visualization and analytics of wearables are still maturing for clinical trials.
This presentation will break down the elements of wearables inclusion in clinical trials and the associated storage and visualization via OSIsoft tools.
Speaker
Jean-Marc LeBideau
Director in PAREXEL Engineering Solution Incubator. 20 years of experience working in the Pharmaceutical and CRO industry, leading multidisciplinary international teams and projects in a global environment. Holds a degree in computer engineering (Automation and Real Time systems) from University of Technology of Compiègne, France.