Welcome to the PHUSE Quarter 1 2024 Working Group Report.
New year, new focus. The Working Group formally known as Risk Based Monitoring has expanded its focus to RBQM and is now called Risk Based Quality Management. This Working Group will identify innovative approaches in the planning (Quality by Design, Critical to Quality, Risk Identification and Characterisation), conduct (Risk Control) and continuous improvement (Risk Review, Risk Communication) elements of RBQM that support proactive management data reliability and participant well-being. They have also launched an exciting new project – OpenRBQM: Pre-Competitive Collaboration on Open-Source Software for RBQM – in collaboration with the Data Visualisation & Open Source Technology Working Group.
The Dataset-JSON as Alternative Transport Format for Regulatory Submissions project have continued to work within their sub-teams, producing a webinar where they presented their updates to the wider team. This hot topic project are working towards their CSS workshop, where they will be presenting the project findings and recommendations.
The Real World Evidence Working Group published their blog post on the Catalyst for Transformative Drug Discovery. This blog post delves into how real-world evidence is revolutionising drug discovery and offers insights that transcend the boundaries of controlled clinical trials. Watch this space! The Working Groups have got more blog posts planned for this year.
In addition to Working Group activities, the Community Forums have returned for 2024. Real World Evidence and Risk Based Quality Management have hosted a forum each in January and February, with more planned in April and throughout 2024.
Deliverables
It’s been a busy quarter across the eight Working Groups. There have been two published deliverables and there are many more in the works. The published deliverables are:
The Cloud Adoption in the Life Sciences Industry project produced its third deliverable. The white paper dives into adopting cloud-based solutions for GxP workloads. Understanding the essential characteristics of cloud services and solutions is important for determining the applicability of GxP requirements to specific cloud service providers and/or cloud-based solution models.
The project published their white paper this quarter. This paper provides an overview of Julia’s features and benefits for high-performance computing, including its fast compilation, dynamic typing, multiple dispatch, and built-in support for parallelism. It also discusses current real-world use cases of Julia and potential case studies for high-performance computing, along with recommended readings and references for further exploration.
In the review stages
There are currently three deliverables that are within the review stages. Watch this space!
QTLS – Assessing the Use of Quality Tolerance Limits in the Pharmaceutical Industry
Implementation of Estimands – Implementation of Estimands (ICH E9 (R1) in Data Standards (over 400 comments were received)