Atlassian uses cookies to improve your browsing experience, perform analytics and research, and conduct advertising. Accept all cookies to indicate that you agree to our use of cookies on your device. Atlassian cookies and tracking notice, (opens new window)
/
Submitting Real World Data

    Submitting Real World Data

    Oct 01, 2025

    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 The collaterals will be developed by undertaking research of existing draft guidance documents on real-world evidence by regulatory bodies, and by analysing members’ lessons learnt from completed case studies.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 Although there are draft guidance documents from the FDA about submission of real-world data, there is a need to have a more detailed framework and direction to industry regarding submission of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

    Chris Hurley, MMS

    chris.hurley@phuse.global

    Jeffery Abolafi, Pinnacle 21

    jabolafia@pinnacle21.com

    Nicola Newton, PHUSE Project Coordinator

    nicky@phuse.global 

    CURRENT STATUS (Updated Quarterly) 

    • Completed the cDRG review
    • Review summary of cDRG with regards to RWD data submissions

    Objectives & Deliverables

    Timelines

    Submitting Real World Data: Preliminary Assessment of HL7-FHIR as a Submission Standard Blog

    Q4 2024
    Overall road map of things leading to each deliverable submitted to the FDAQ1 2024
    Standardised documentation templates if neededTBD
    Project kick offQ2 2023 
    Checklist for things to consider while submitting real-world dataQ4 2023
    Decision Tree on how to submit the real-world dataQ4 2023
    Project kick offQ2 2023 
    , multiple selections available,
    Welcome to the PHUSE Advance Hub
    Teams
    , (opens new window)

    WORKING GROUPS
    Results will update as you type.
    • Working Groups
      • Data Transparency
      • Data Visualisation & Open Source Technology
      • Emerging Trends & Innovation
      • Nonclinical Topics
      • Optimizing the Use of Data Standards
      • pharmaverse
      • Real World Evidence
        • Applying Advanced Data Privacy Methods to Real World Data (RWD)
        • Estimands for RWD/RWE
        • Missing Data Imputation in RWD Exploration of Multiple Techniques on Open-Source Data
        • Quality and Reusability of Real World Data
        • RWD Guideline for Programming and Analysis Processes
        • Submitting Real World Data
        • Using OMOP and Other Real World Data Standards to Support Regulatory Submissions
      • Risk Based Quality Management
      • Safety Analytics
    • Hot Topics
    • Useful Information
    • Deliverables
    • Working Groups Events
    • Working Groups Report – Q3 2025
    • Working Groups Archive
    • Working Groups Events Archive
      You‘re viewing this with anonymous access, so some content might be blocked.
      {"serverDuration": 31, "requestCorrelationId": "4c14107805a548f48223bd267cca62da"}