New Ways to Improve Hospital Flow with Predictive Analytics

Michael Thompson, MS Predictive Analytics - Executive Director, Enterprise Data Intelligence, Cedars-Sinai Medical Center Improving hospital-wide patient flow requires an appreciation of the hospital as an interconnected, interdependent system of care. Learn how supervised machine learning was used to create predictive models for length of stay, emergency department (ED) arrival, ED admissions, aggregate discharges, and total bed census to reduce patient wait times, reduce staff overtime, improve patient outcomes, and improve patient and clinician satisfaction.

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