Geisinger partners with IBM for AI-based sepsis prevention

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Danville, Pa.-based Geisinger Health System and the IBM Data Science Elite team announced Sept. 10 a collaboration to develop an artificial intelligence model to detect sepsis mortality risk.

Geisinger first developed the project before tapping IBM's Data Science and AI Elite teams to construct the predictive model and an accompanying tool to gather the latest sepsis research. The model used machine learning to analyze a decade's worth of de-identified EHR data comprising thousands of sepsis patients in order to identify clinical biomarkers associated with higher rates of mortality due to sepsis.

Using that analysis, the model will be able to predict mortality in sepsis patients during hospitalization or the subsequent 90 days. Geisinger clinicians can also use the model's analysis to develop personalized care plans for at-risk sepsis patients, in hopes of increasing their chances of recovery.

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