INSIGHTS ON CLINICAL TECHNOLOGIES

  • Can Older Users Use Electronic Clinical Outcome Assessments?
    Can Older Users Use Electronic Clinical Outcome Assessments?

    Sponsors and study teams have raised general concerns such as ‘how will older users manage eCOA?’ along with specific concerns relating to eyesight, hearing, confidence, recall, fatigue, dexterity, mobility and concomitant disorders. CRF Bracket undertook research in 2017 to identify potential challenges, opportunities and best practice for eCOA and older people. 

  • Operating System Upgrades Do Not Adversely Affect eCOA Completion Behavior

    To understand the effect of operating system upgrades managed by subjects when using their own device (Bring-your-own-device – BYOD) to collect eCOA data on ongoing eCOA data completion rates, based on device usage data collected in a large ongoing clinical trial.

  • Learnings On Bring Your Own Device Uptake For eCOA Implementation

    In this poster, we cover research designed to understand site and subject behavior towards the use of “bring-your-own-device” (BYOD) and provisioned handsets, including usage and access behavior, with reference to two large clinical trials.

  • What Makes A Good Data Manager?

    In this blog, Paul Fardy, Executive Director of Data Management at Cytel shares his thoughts on how the data manager role has evolved.

  • 10 Things We’ve Learned In 10 Years Of E-Clinical Innovation: Part 1

    Trial Interactive turns 10 this year and we could not be more proud—from an early eTMFinnovator to an end-to-end e-clinical platform, we’ve grown tremendously. Part of that growth was in realizing early that effective e-clinical innovation is powered by partnership and collaboration, which has been possible with 25+ years’ experience in the life sciences industry and 10 years of experience in e-clinical innovation.

  • In The Midst Of This: The Data Management Perspective On The Interim Analysis

    Patti Arsenault, Cytel's Global Head of Data Management, shares her thoughts on the three core elements important for the success from the data management standpoint - effective timeline management, thoughtful database design, and a proactive approach to data cleaning.

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