Modernizing data and data science infrastructure as a strategic asset for cancer center

Modern cancer centers face increasing data-driven demands from institutional, state, and federal stakeholders, as well as from patients and communities. Data now functions as a strategic asset that supports care delivery, research, education, community engagement, and policy improvement and development. However, many cancer centers continue to operate with fragmented systems, limited interoperability, and underdeveloped analytics capacity, which constrain their ability to meet expectations or drive innovation. This perspective advocates for adopting a Learning Health System - Learning Health Community (LHS-LHC) framework as a strategic approach to modernizing cancer data and data science infrastructure. We outline how cancer centers can develop integrated, interoperable, and inclusive data systems that enable continuous learning, promote equity-driven outcomes, and generate real-world impact. By embedding data and data science as core institutional infrastructure, and by aligning investments across health systems, funders, and community partners, cancer centers can enhance their role as regional anchors for coordinated, patient-centered care and lead a national transition toward data-enabled oncology.

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Publication Details

Journal
npj Health Systems
Published
2026-01-09
DOI
https://doi.org/10.1038/s44401-025-00058-9
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
Field-Weighted Citation Impact
0.00

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article

Modernizing data and data science infrastructure as a strategic asset for cancer center

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npj Health Systems
Economic and Financial Impacts of Cancer
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Modernizing data and data science infrastructure as a strategic asset for cancer center

Alison Marguerite Ivey, David A. Haggstrom, Aik Choon Tan, Gigi Lipori, Yi Guo, Rachel E. Patzer, Jiang Bian, Christina M. Scifres, Kelvin P. Lee, Emily C. Webber, Kun Huang, Thomas J. George, Lang Li
article en

Abstract

Modern cancer centers face increasing data-driven demands from institutional, state, and federal stakeholders, as well as from patients and communities. Data now functions as a strategic asset that supports care delivery, research, education, community engagement, and policy improvement and development. However, many cancer centers continue to operate with fragmented systems, limited interoperability, and underdeveloped analytics capacity, which constrain their ability to meet expectations or drive innovation. This perspective advocates for adopting a Learning Health System - Learning Health Community (LHS-LHC) framework as a strategic approach to modernizing cancer data and data science infrastructure. We outline how cancer centers can develop integrated, interoperable, and inclusive data systems that enable continuous learning, promote equity-driven outcomes, and generate real-world impact. By embedding data and data science as core institutional infrastructure, and by aligning investments across health systems, funders, and community partners, cancer centers can enhance their role as regional anchors for coordinated, patient-centered care and lead a national transition toward data-enabled oncology.

npj Health SystemsVol. 3(1)
Indiana University Health (US), Regenstrief Institute (US), University of Utah (US), University of Florida Health (US), Huntsman Cancer Institute (US), University of Florida (US), Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, The Ohio State University (US), Indiana University – Purdue University Indianapolis (US)
University of Florida Health
Industry, innovation and infrastructure
Openalex Percentile: Top 94%
Economic and Financial Impacts of Cancer
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