Increasing Value in the Veterans Affairs Healthcare System (VA) with Precision Health: A Continuing Landmark Collaboration with the Department of Energy
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Objective
By personalizing healthcare to an individual’s specific requirements, precision health promises to maximize benefit and minimize harm, thereby maximizing value. We describe here, how in Phase 2 of the Million Veteran Program–Computational Health Analytics for Medical Precision to Improve Outcomes Now (MVP-CHAMPION), artificial intelligence (AI) and high performance computing (HPC) have been applied to Veteran’s electronic health records (EHRs) and genetic data to advance real-world precision health.
Materials and Methods
Eight concept projects were selected on the basis of potential impact on high-burden conditions among Veterans, including heart failure, suicide, lung cancer, diabetes, post COVID-19 sequelae, medication toxicity, and obstructive sleep apnea.
Results
Achievements include new and more discriminating risk prediction models to inform medical decision making, multimorbidity-aware analytic frameworks, and development and deployment of reusable computational tools. The identification of novel risk factors from genetic data and unstructured text in the EHR has both informed risk prediction and offered new insights for medication repurposing and development.
Discussion
We not only confirmed the need for shared infrastructure, data management, and novel AI-based workflows to inform precision health, but also found that such programmatic improvements result in valuable mechanistic insights.
Conclusion
By building on these foundations through expanded deployment, adaptive modeling, and broader partnerships, the VA-DOE collaboration is poised to transform not only the future of Veterans’ healthcare, but the broader national landscape of precision health.
