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Peer-reviewedCC BY-NCBMJ oncology

Data supply chain for cancer control and healthcare: motivation and principles.

  • David Anthony Jaffray1,2,3
  • Mary K Gospodarowicz4,5
  • Georgina Kennedy6
  • Caroline Chung3,7,8
8 affiliations
  1. 1Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  2. 2Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  3. 3Institute for Data Science in Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  4. 4Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
  5. 5Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
  6. 6Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia.
  7. 7Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  8. 8Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
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Abstract

Amidst the rapid acceleration of data generation in today's digitally enabled healthcare systems, the anticipated benefits of data-driven healthcare are not being realised. This gap reflects the technical challenges of fragmented and poor-quality data, as well as the organisational and cultural shortcomings supporting how data are provisioned, managed and governed. In this article, we expand on the emerging concept of a 'data supply chain'-a system of systems that provisions and manages the demand for and supply of data that is reliable, timely and fulfils the needs of the data consumer. We examine this concept in the context of cancer control, which has implications for healthcare and the context of broader societal trends, including the emergence of a global 'data economy' and the data demands associated with artificial intelligence. The foundations of this paradigm are set upon underlying principles that leverage the maintenance and diligent management of metadata to allow the complex network of data supply chains informing complex health-related decisions, such as achieving cancer control, to be scalable and meaningfully connected and traceable. We conclude by outlining the broader sociotechnological implications of adopting the data supply chain paradigm and identify it as a critical capability in addressing cancer control and strengthening health systems more broadly.

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Cite

BibTeXRIS
BibTeX
@article{jaffray2026data,
  title = {{Data supply chain for cancer control and healthcare: motivation and principles.}},
  author = {David Anthony Jaffray and Mary K Gospodarowicz and Georgina Kennedy and Caroline Chung},
  journal = {BMJ oncology},
  year = {2026},
  month = oct,
  doi = {10.1136/bmjonc-2026-001110},
  url = {https://europepmc.org/article/MED/42968796},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - Data supply chain for cancer control and healthcare: motivation and principles.
AU  - David Anthony Jaffray
AU  - Mary K Gospodarowicz
AU  - Georgina Kennedy
AU  - Caroline Chung
PY  - 2026
DA  - 2026/10/29
JO  - BMJ oncology
DO  - 10.1136/bmjonc-2026-001110
UR  - https://europepmc.org/article/MED/42968796
AB  - Amidst the rapid acceleration of data generation in today's digitally enabled healthcare systems, the anticipated benefits of data-driven healthcare are not being realised. This gap reflects the technical challenges of fragmented and poor-quality data, as well as the organisational and cultural shortcomings supporting how data are provisioned, managed and governed. In this article, we expand on the emerging concept of a 'data supply chain'-a system of systems that provisions and manages the demand for and supply of data that is reliable, timely and fulfils the needs of the data consumer. We examine this concept in the context of cancer control, which has implications for healthcare and the context of broader societal trends, including the emergence of a global 'data economy' and the data demands associated with artificial intelligence. The foundations of this paradigm are set upon underlying principles that leverage the maintenance and diligent management of metadata to allow the complex network of data supply chains informing complex health-related decisions, such as achieving cancer control, to be scalable and meaningfully connected and traceable. We conclude by outlining the broader sociotechnological implications of adopting the data supply chain paradigm and identify it as a critical capability in addressing cancer control and strengthening health systems more broadly.
SN  - 2752-7948
ER  -