RBQM Resources
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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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Ask Sites What Technology They Already Use
6/12/2026
Rosie Filling says sponsors should stop guessing and ask sites what tech they use so teams can design with sites, not just for them.
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Why Standards Matter At Scale
6/12/2026
Joe Dustin shows why custom integrations do not scale and why standards are essential for efficiently connecting many sites.
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How Analytics Are Shaping The Future Of Clinical Trial Risk Management
5/26/2023
Explore how analytics are revolutionizing clinical trial risk management and shaping the future of risk mitigation.
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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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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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Using Risk-Based Monitoring To Focus On Timelines, Quality, And Budget
9/21/2022
Tanya du Plessis, VP of Data Solutions and Strategies at Bioforum, and Rich Davies, VP of Solutions Expert at CluePoints, explain the principle applications of RBQM to Data Management.
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Repositioning Your CDM Team To Meet Digital Trial Demands
1/25/2023
Consider these steps when repositioning your clinical data management team to unify cross-functional reviews and align processes and technology to meet the demands of digital trials.
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Are You Aiming For The Bullseye Or Just The Target?
6/15/2023
Learn what this author has to say about focusing on a clinical trial's outcome when developing Risk-Based Quality Management strategies.
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Practical ICH E6(R3) Oversight For Your Centralized Monitoring Strategy
3/17/2026
Bridge the gap between fragmented data and ICH E6(R3) compliance. Learn to use unified data signals to catch consent errors and enrollment delays before they trigger audit findings.