Using Data Science Matching Approaches Open Opportunities for Understanding Cancer in Veterans

In their recent article, CBIIT’s Associate Director of Informatics and Data Science and DCEG Senior Investigator, Dr. Jill Barnholtz-Sloan, and colleagues have shown that direct and deterministic data matching between state and national databases can identify diagnosis patterns, treatment trajectories, and clinical outcomes among U.S. Veteran and non-Veteran populations.

Using brain tumors as an exemplar, the team was able to compare and identify discrepancies between the two populations. For instance, direct data matching illustrated that Veterans experienced a greater proportion of glioblastomas (41%) compared to the other population. The feasibility of this brain tumor data comparison between both populations has the potential to promote comparisons of other cancers and rare diseases as well.

Read the full article in JCO Cancer Clinical Informatics

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