New Ways to Improve Hospital Flow with Predictive Analytics

March 18, 2020
Michael Thompson, MS

Executive Director, Enterprise Data Intelligence, Cedars-Sinai Medical Center

During this webinar you’ll learn the following:

  • How to engage leaders up front with the goal of operationalizing analytics.
  • What types of machine learning methods best support operationalizing analytics?
  • How to operationalize machine learning-driven results to improve patient flow.

Watch on Demand

New Ways to Improve Hospital Flow with Predictive Analytics

Improving hospitalwide patient flow requires an appreciation of the hospital as an interconnected, interdependent system of care. Michael Thompson explores how Cedars-Sinai Medical Center used supervised machine learning to create predictive models for length of stay, emergency department (ED) arrivals, ED admissions, aggregate discharges, and total bed census and leveraged these models to reduce patient wait times and staff overtime and improve patient outcomes and patient and clinician satisfaction.

Download Presentation Slides
The Doctor’s Orders For Engaging Physicians to Drive Improvements

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