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Working Groups Q2 Reports |
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The Working Groups Quarterly reports are now published! These reports provide an overview of each of our projects, highlighting key achievements and ongoing activities. You can view the reports and learn about what our Working Group projects have been up to this quarter via here. Additionally, you can find a breakdown of the events that have taken place here. |
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Real World Evidence: Calling For Feedback |
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The RWD Guideline for Programming and Analysis Processes project within the Real World Evidence Working Group has produced a White Paper, ‘RWD Guideline for Programming and Analysis Processes’.As per FDA1.1, Real-World Data (RWD) are data relating to patient health status and/or the delivery of health care routinely collected from a variety of sources. Examples include data derived from Electronic Health Records (EHRs), Claims and/or billing data, Product and/or disease registry data, other data sources that can inform on health status (e.g., data collected from wearables, patient generated data). Please provide your comments by emailing workinggroups@phuse.global. Closing date for comments: 5 September. |
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Calling For Volunteers |
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Building a Better MDR, a new project within the Optimizing the Use of Data Standards Working Group, is calling for volunteers! This project aims to define a fit-for-purpose MDR in today’s data landscape. The resultant goal is a white paper that is informed by perspectives across the data lifecycle, focusing on:
If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 28 July. The Kick-Off Meeting for this project will be held on 28 July at 15:00-16:00 (BST) / 10:00-11:00 (EDT). |
The Missing Data Imputation in RWD Exploration of Multiple Techniques on Open-Source Data project within the Real World Evidence Working Group is calling for volunteers! Fitness of RWD to support/generate RWE requires certain processes to be studied (and the ICH E9 guideline to be considered too). One of the core sections is handling missing data. the goal of this project is to publish a white paper which shall explore multiple models available for missing data imputation. Click here, to hear from one of the projects leads, Likhita Kolli, GSK, who spoke about the project in the June Webinar Wednesday. If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 22 August. |
If you would like to get involved in a PHUSE Working Group Project, please explore the projects via the Volunteer Board and contact the PHUSE Office on workinggroups@phuse.global to express your interest. |
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