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Webinar: Challenges of deploying wearables and mHealth systems in clinical trials

eCF Technology Showcase: 16-Feb-2017 - Registration Required

Event date: 2/15/2017 Export event

Webinar: Challenges of deploying wearables and mHealth systems in clinical trials

The use of wearable sensors in the clinical trial marketplace is growing rapidly.  These solutions have the ability to provide valuable patient contextual information in near real time and offer the possibility to improve clinical trial efficiency and better understanding of clinical outcomes. So, what's important for this new area of clinical data capture?  Not all wearable sensor hardware and software solutions are created equal. What barriers have sponsors overcome already?  This session will provide an overview of the challenges of deploying wearables and mHealth systems in clinical trials including data capture, logistics and endpoints.  We will also discuss how to maximize the utility of the data captured by planning and partnering with the right teams during the protocol development stage.

 

Discussion and demonstration facilitated by Jeremy Wyatt of Actigraph;

Open to anyone from an eCF Member company;

Time: 9am New York, 1400 London, 1500 Paris, 10pm Singapore

 

eCF Members can register via this link: https://www.surveymonkey.com/r/eCF_Wearables_in_CR

Non-members can get more information by sending a note to: info@eclinicalforum.org


Technology Showcase sessions have been requested by eCF members to provide a demonstration of products or services, and by necessity are not technology or vendor neutral. The eClinical Forum does not promote nor endorse any particular technology or technology vendor. Any member can participate that has an interest in the topic area. The facilitator will [try to] keep the subject on track and prompt discussion and information sharing. 



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eCF Birds-of-a-Feather Webinar: Use of eCOA Metadata to Detect Fraud, Develop Risk Indices and More

Electronic solutions for patient-reported and clinician-reported outcomes provide rich metadata that can be mined for additional insights describing trial performance and driving risk-based monitoring. We will explore the use of this eCOA meta data in fraud detection, and other analytics insights and how these data might translate to risk indices to inform risk-based monitoring activities.

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