Case Study

Machine Learning to Save Lives

Machine Learning to Save Lives

Pages 4 Pages

AI AS THE ENGINE FOR BUSINESS TRANSFORMATION Machine Learning to Save Lives Case StudyUse Case Studies show that patients who undergo an unplanned transfer to the Intensive Care Unit (ICU) experience significantly worse outcomes than patients who are directly admitted to the ICU. Patients who are moved to an ICU as a result of a sudden deterioration typically stay in the hospital 8 to 12 days longer and have significantly higher mortality rates than patients who are not rushed to intensive care from another ward. The Kaiser team built models to try and predict the probability of a patient experiencing a sudden deterioration based on available electronic records, demographic information and vital signs and lab results collected during recent admissions. Together with clinicians,

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