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QC Workflow Optimisation

QC Workflow Optimisation

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

Nicola Newton, PHUSE Project Assistant

nicky@phuse.global

CURRENT STATUS Q1 2025 

  • Project Accepted

Objectives & Deliverables

Timelines

White Paper


TBC

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