An Overview of Real-World Data Infrastructure for Cancer Research
Price, G. Peek, N. Eleftheriou, I. Spencer, K. Paley, L. Hogenboom, J. van Soest, J. Dekker, A. van Herk, M. Faivre-Finn, C.
Price, G.
Peek, N.
Eleftheriou, I.
Spencer, K.
Paley, L.
Hogenboom, J.
van Soest, J.
Dekker, A.
van Herk, M.
Faivre-Finn, C.
Abstract
Aims: There is increasing interest in the opportunities offered by Real World Data (RWD) to provide evidence where clinical trial data does not exist, but access to appropriate data sources is frequently cited as a barrier to RWD research. This paper discusses current RWD resources and how they can be accessed for cancer research. Materials and methods: There has been significant progress on facilitating RWD access in the last few years across a range of scales, from local hospital research databases, through regional care records and national repositories, to the impact of federated learning approaches on internationally collaborative studies. We use a series of case studies, principally from the UK, to illustrate how RWD can be accessed for research and healthcare improvement at each of these scales. Results: For each example we discuss infrastructure and governance requirements with the aim of encouraging further work in this space that will help to fill evidence gaps in oncology. Conclusion: There are challenges, but real-world data research across a range of scales is already a reality. Taking advantage of the current generation of data sources requires researchers to carefully define their research question and the scale at which it would be best addressed. (c) 2024 The Author(s). Published by Elsevier Ltd on behalf of The Royal College of Radiologists. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
Description
Date
2025
Publisher
Collections
Keywords
Type
Article
Citation
Price G, Peek N, Eleftheriou I, Spencer K, Paley L, Hogenboom J, et al. An Overview of Real-World Data Infrastructure for Cancer Research. CLINICAL ONCOLOGY. 2025 FEB;38. PubMed PMID: WOS:001428607200001. English.