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QC Workflow Optimisation

    QC Workflow Optimisation

    Oct 01, 2025
    Problem Statement  

    The clinical study analysis and reporting QC process has not changed in decades. It is widely agreed that there is significant overhead in using double programming, and that this may need to be revisited to accelerate and optimally use programming resources. This process has not been revisited or analysed within a modern context. The purpose of this Working Group project would be to perform this analysis and report findings.

    The QC process has significant impact on the adoption of Git in statistical programming, specifically in the complexity in using Git in a way that does not disrupt the QC process. This will also impact on what is perceived as acceptable level of QC for submissions by the industry, including regulators.

    Project Scope

    The scope will include the following topics:

    • State of the union: how QC is broadly performed across the industry
    • What obstacles does double programming introduce when it comes to accelerating and making use of modern technology and techniques?
    • Alternatives to the current process
    • What impact does the adoption of Agile methodology have on the current QC process?
    • What are other regulated industries, such as banking and insurance, doing?
    • What is the cost of QC, and does changing the process impact on the cost positively or negatively?

    How might the increasing use of AI change the QC process?

    Project LeadsEmail

    Caroline Phares, Altair

    cphares@altair.com

    Matthew Finnemeyer, Vertex Pharmaceuticals IncMatthew_Finnemeyer@vrtx.com
    Korak Datta, AstraZenecakorak.datta@astrazeneca.com
    Alex Pearce, PHUSE Project Assistant 

    alexandra@phuse.global

    CURRENT STATUS (Updated Quarterly) 

    • Charter finalised and locked​
    • PHUSE US Connect abstract submitted​
    • Research fully underway​
    • PHUSE US Connect presentation preparations

    Objectives & Deliverables

    Timelines

    White Paper


    TBC
    , multiple selections available,
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    WORKING GROUPS
    Results will update as you type.
    • Working Groups
      • Data Transparency
      • Data Visualisation & Open Source Technology
      • Emerging Trends & Innovation
        • Cloud Adoption in the Life Sciences Industry
        • Digital Health Technologies (DHTs)
        • Integration of Omics Data into Clinical Drug Development
        • Investigating the Use of FHIR in Clinical Research
        • QC Workflow Optimisation
        • The Use of Git in Statistical Programming
      • Nonclinical Topics
      • Optimizing the Use of Data Standards
      • pharmaverse
      • Real World Evidence
      • Risk Based Quality Management
      • Safety Analytics
    • Hot Topics
    • Useful Information
    • Deliverables
    • Working Groups Events
    • Working Groups Report – Q3 2025
    • Working Groups Archive
    • Working Groups Events Archive
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