The Henry M. Jackson Foundation for the Advancement of Military Medicine

Advancing Military Medicine

Search Results - clinical+decision+support+systems

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Prediction of Venous Thromboembolism Utilizing Machine Learning Models - (HJF 477-17)
Background Individuals exposed to physical trauma, including battlefield injuries and major accidents, have an elevated risk of developing venous thromboembolism (VTE). Existing diagnostic approaches can be difficult to apply in acute trauma settings because robust and invasive diagnostic methods may not be feasible in the field or at the bedside....
Published: 7/16/2026   |   Updated: 5/28/2026   |   Inventor(s): Eric Elster, John Oh, Beverly Gaucher, Seth Schobel-McHugh
Keywords(s): Biomarker, Clinical Decision Support Systems, Machine Learning, Predictive Modeling, Trauma, Venous Thromboembolism
Category(s): Diagnostic
Rapid, Point-of-care Sepsis Mortality Prediction System – (HJF 655-23)
Researchers at the Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) have developed systems and methods for predicting sepsis mortality risk using biomarker data and clinical parameters. Applications and Advantages Enables early and accurate prediction of sepsis mortality risk. Supports improved clinical decision-making...
Published: 6/22/2026   |   Updated: 5/21/2026   |   Inventor(s): Danielle Clark, Joost Brandsma, Joshua Chenoweth, Deborah Striegel
Keywords(s): Clinical Decision Support Systems, Critical Care, Diagnostics, Gene Expression Assays, Machine Learning, Point of Care, Sepsis
Category(s): Diagnostic