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Project Scope

The increasing interest in including results based on Real World Data as part of regulated clinical trial submissions and similar research initiatives is testing how current regulatory and good practice requirements can incorporate these results into submissions. Whilst specific projects have successfully addressed these issues, Real World Evidence guidelines or points for consideration are not yet formalised. PHUSE members are involved in the management and analysis of these data, and best practices for dealing with Real World Evidence data that would assist members in this space. The project has three goals:

  1. Focus on Real World Evidence issues.

  2. Develop a White Paper presentation focused on establishing the range of areas that need to be considered/impact on the use of Real World Evidence in support of regulated clinical trial submissions. This would be focused on identifying issues such as data sources, Real World Evidence technologies, data privacy and related issues, standards etc. impacting on Real World Evidence use. (e.g. see PHUSE SDE London May 2019 presentations).

  3. Identify and prioritise future Real World Evidence projects/sub-projects.



Project LeadsEmail
Berber Snoeijer (ClinLine)b.snoeijer@clinline.eu

David Hood (Axtria)

David.Hood@Axtria.com

Katie Warren

(PHUSE Project Assistant)

katie@phuse.global

Objectives & Deliverables

Timelines 

White Paper which establishes a range of areas that need to be considered/impact the use of Real World Evidence

Q2 2022

Community Forum: The Role of the Statistician and Statistical Programmer in Real-world Data Analysis. 

Q3 2022
Community Forum: Challenges in Real World Data Ingestion and Standardization Q4 2022

Status
colourBlue
titleCurrent Status
Q3/4 2022





Project MembersOrganisation
Bree Newton Evidera
Devaki ThavarajahIndustry
Dishant ParikhICON DOCS
Elizabeth MerrallJanssen Research & Development
Jeff AbolafiaPinnacle 21
Kimberly Greene PPD
Lakshmi Mantha Ephicacy
Marion BonnetIpsen
Mary Anne RutkowskiMerck
Maya ReimbaevaPfizer 
Michael MartinecRoche 
Naga Dontamsetty   Takeda 
Nimita LimayeIDC
Parag ShiralkarSumptuous Data Sciences 
Rabia AhmadGSK
Ramaiah Muvvala Inductive Quotient
Renping Zhang Janssen Research & Development

Ritesh Dhimmer

GSK
Sangeeta Bhattacharya Janssen Research & Development
Shannon Hunter Daiichi Sankyo

Sreeja M

ICON

Sreekanth Reddy Yasa

IQVIA
Tadeusz LewandowkiJanssen Research & Development