Current trends in improving health care envisage a preventive and patient-centered medical practice. This vision of personalized health care requires new methods for developing patient-centric prognostic and diagnostic models resulting in the selection of specific and appropriate interventions for each patient. In this work, we are building risk models for severe sepsis and response to therapy in hospitalized patients. Severe sepsis is one of the leading causes of death and significantly high costs of care. Early diagnosis and therapy are key to improving outcomes. However, these patients differ at many levels incuding age, diagnosis, treatment and prognosis. Taking these individual differences into account can potentially lead to better prognostics and diagnostics, and potentially life-altering interventions.
Sponsor: Northrop Grumman; UVa Health Center