RBQM Resources
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Five Steps To Streamline Your Trial
7/27/2022
Explore the solution for adequately verifying and analyzing data from wearables, remote devices, and other novel data collection modalities.
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Mitigating Study Risk With Performance Analytics
5/19/2022
Performance metrics for supporting risk-based management can be great, however, this author tells readers why collecting and analyzing data after a study has begun may not be the best approach.
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Implementing ICH E6 (R3) In A Risk Averse Culture
11/14/2023
Get several pointers on how to facilitate a transition to an agile, multi-faceted, and continuous risk and issue management approach aligned with the Statistical Analysis Plan.
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Build Vs. Buy Vs. Partner In Life Sciences: Making The Right Call
3/21/2025
Discover when life sciences organizations should develop technology in-house, buy off-the-shelf solutions, or form strategic partnerships, exploring the costs and risks that come with each approach.
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Outlook For 2025: New Forces Driving Pragmatic Innovation
12/30/2024
Clinical data trends are evolving rapidly to reduce trial complexity, improve patient experiences, and shorten development timelines.
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elluminate Risk-Based Quality Management
10/24/2022
Proactively manage your trials with a centralized platform for data-driven risk assessment and oversight.
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Advanced Analytics To Power Action Across The Trial Continuum
10/18/2023
Examine how Medidata's Clinical Operations solutions are working to improve the efficiency of study timelines through their platform, guided by interconnected workflows and data-driven insights.
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How Risk-Aware Are You? Establishing A Foundation For A Holistic RBQM Strategy
10/3/2022
This paper highlights why the industry is moving towards RBQM and how sponsors can build a scalable approach that protects trial participants, upholds study integrity, and increases operational efficiencies.
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Digital Health Solution For CRS Detection And Prediction
2/27/2025
Explore how digital health technologies offer a data-driven solution to cytokine release syndrome (CRS) monitoring, reducing inpatient care requirements while ensuring patient safety.
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What's Driving Data Innovation: Notes From The Front Lines Of Change
Clinical data innovators prioritize risk-based quality management, standards, and closer collaboration with research sites. Many see AI as an important support rather than a top priority.