Predictive Algorithms That Healthcare Delivery Organizations Are Using to Improve Outcomes


Archived Published: 25 April 2016 ID: G00295509

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Summary

Healthcare is on the path to becoming an algorithmic business, as the use of advanced analytics models will transform the delivery of care. CIOs should use this research to understand the types of algorithms currently used and their specific challenges and value.

Table of Contents

  • Introduction
  • Analysis
    • Predictive Model 1: Use Algorithms to Detect Preventable Readmissions
    • Predictive Model 2: Use Algorithms to Prevent Sepsis
  • Case Studies
    • Case Study 1: University of Chicago Medical Center Uses Algorithms to Achieve Operational Efficiencies
    • Case Study 2: Cleveland Clinic Uses Algorithms to Prepare for Transitions of Care
    • Conclusion
  • Gartner Recommended Reading
© 2016 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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