Videos
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RBQM Ops 2022 - Day 2 Panel session

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RBQM Ops 2022 - What roles and structures are required for end-to-end quality management

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RBQM Ops 2022 - How central monitoring differs between early and late phase trials

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RBQM Ops 2022 - How do we identify and asses patients at risk?

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RBQM Ops 2022 - Implementing RBQM for Phase 1 Clinical Trials

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RBQM Ops 2022 - Day 1 Intro and Data Quality

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RBQM Ops 2022 - What does a good Risk Assessment look like?

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What's great about the Funnel Model

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What's great about the TRI Operational Model

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Risk Assessment & Controls E-learning module

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RBQM Ops 2022 - How big is the skills gap and what can you do about it

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RBQM Ops 2022 - Learnings from the WHO Solidarity Findings

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RBQM Ops 2022 - Do you trust data enough to make a decision?

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RBQM Ops 2022 - Day 2 Intro and Central Monitoring in Early Phase Trials

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RBQM Ops 2022 - The participant journey in DCTs

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RBQM Ops 2022 - How do we get to zero SDV?

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RBQM Ops 2022 - What do the regulatory authorities really want to see?

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Is it really different - How we use models and stats to help answer these questions

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The origins of RBQM and ICH E6(R2)

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Good Clinical Practice E-learning module

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RBQM Ops 2022 - Day 1 Panel Session

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RBQM Ops 2022 - What does Good Central Monitoring Look Like?

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RBQM Ops 2022 - Key Considerations for Setting Up studies in Central Monitoring

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RBQM Ops 2022 - The Top 10 KRIs

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RBQM Ops 2022 - Data Quality in Observational Research

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RBQM Ops 2022 - How does monitoring drive quality and efficiency?

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RBQM Ops 2022 - How is monitoring driven by data source and collection?

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What's great about the Event Model

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Stats Basics - Getting to know your data

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Duncan Hall, CEO, on why we developed OPRA 5

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