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Project Scope 

The scope of the project includes developing collaterals for submission of real-world data through mutual discussion, knowledge and experience sharing by industry colleagues. The collaterals will be developed by undertaking research of existing draft guidance documents on real-world evidence by regulatory bodies, and by analysing members’ lessons learnt from completed case studies. The scope of this project will include submission of real-world data obtained from primary and widely used real-world data sources. These may include key electronic health record sources, patient reported outcomes, widely used and accepted claims data sources, and other commonly used observational data. This project will also touch upon the data curation and ingestion processes pertaining to clinical operational as well as submission data. Since real-world data can come from a wide variety of sources, the scope of this project will consider the widely and most commonly used real-world data sources by industry and member companies.


Problem Statement

The pharmaceutical and biotech industry has witnessed incremental use of real-world data in the clinical trial and overall drug development process. As per the latest survey, close to 70% of clinical trials now use some form of real-world data. Based on the message from the FDA at the PHUSE/FDA CSS 2022, real-world evidence will be a primary focus of the FDA in 2023 and 2024. Although there are draft guidance documents from the FDA about submission of real-world data, there is a need to have a more detailed framework and direction to industry regarding submission of real-world data to regulatory bodies. This project aims to focus on developing collaterals which pharma industry, CROs and technology vendors can utilise for submission of real-world data to regulatory bodies.


Problem Impact

This project plans to develop a submission-guidance-specific white paper for different types of real-world data including but not limited to EMR, claims data, patient reported outcomes and other observational data. These collaterals are aimed to assist the industry in making informed decisions while submitting real-world data to regulatory bodies. The project deliverables will be built upon the work completed by the Real World Evidence project and all efforts here will be in coordination with the Real-world Evidence team.



Project LeadsEmail 
Parag Shiralkar (Sumptuous Data Sciences)

parag.shiralkar@sumptuous-ds.com

Priyadarshini Tunga (IQVIA)

priyadarshini.tunga@iqvia.com

Paula Rowley (PHUSE Project Assistant)

paula@phuse.global 


Objectives & Deliverables

Timelines

Project kick offQ2 2023 
Decision Tree on how to submit the real-world dataQ4 2023
Checklist for things to consider while submitting real-world dataQ4 2023
Standardised documentation templates if neededTBD
Overall road map of things leading to each deliverable submitted to the FDAQ1 2024


Status
colourBlue
titleCurrent Status
Q2 2023

New project approved. Calling for volunteers.



Project
Members 
MembersOrganisation
Alfredo RojasIcon
Berber SnoeijerClin Line
Christine Rossin Phizer
D'dra
Octaviano 
OctavianoAlnylam
David Hood
Dileep Kumar Penmetsa 
Axtria
Deepthi ErrabellyMerck
Dileep PenmetsaMerck
Elizabeth Merrall

Janssen Research & Development 

Jeff Abolafia
Johnson & Johnson
Gina WoodeClinical
Guifang Chen Bayer
IcarpentAmgen
Jeffrey Abolafia Pinnacle 21
Joy Victor
Jennifer YenAbbott
Joe XiBristol-Myers Squibb 
Merck
Julie XuBayer
Kishore Pothuri 

Softworld

Lakshmi Mantha

Ephicacy 

Marry Anne Rutkowski 
Karan DhawanIcon
Kishore PothuriSoft World
Lorraine FangBristol-Myers Squibb 
Madhuri KCParexel
Mantha Lakshmi Ephicacy
Mary RutkowskiMerck
Matt BaldwinAmgen
Morten Medici
Parag ShiralkarSumptuous Data Sciences
Novonordisk 
Priyadarshini Tunga
IQVIA
Iqvia
Rama KalyanammaDocs Global
Raman BassiBayer
Renping Zhang
Janssen Research
Johnson &
Development
Johnson
Ritesh DhimmarGSK
Sarah Marshall IQVIASandy VanPelt NguyenPfizerShannon Hunter Daiichi Sankyo
Sandeep MuttannaNovo Nordisk
Sandra Vanpelt NguyenPhizer
Sarah MarshallIqvia
Shannon HunterData Science Institute
Siva K. Ramakrishnan
SoftworldSufang Huang Sanofi 
Soft World
Sufang HuangSanofi
Victor JoyMerck
Vineet JainNimble
Vishalavani NidagundiNovo Nordisk
Vkr Sivakumar 
Yanhui YangBristol-Myers Squibb 
Yen Phan
CodLad 
Codlad
Yi-Chien Lee
Pfizer
Phizer
Zhaolei LvSanofi