July 22, 2019

Improving OR efficiency with machine learning prediction of case-time duration

By: Judy Mathias

Editor’s Note

In this study, researchers developed service- and surgeon-specific statistical models using linear regression and machine learning to predict case-time duration at a large academic medical center.

Results showed:

  • The machine-learning algorithm had the highest predictive capability.
  • The surgeon-specific was superior to the service-specific model, with higher accuracies and percentage of cases in the 10% threshold as well as lower percentages of overage and underage.
  • The ability to predict cases within 10% improved from 32% using the institutional standard to 39% using the machine-learning, surgeon-specific model.

Machine-learning approaches may improve case duration estimations, which will improve OR scheduling, efficiency, and reduced costs, the researchers say.

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After this session you'll be able to: Discuss the elements of value-based care/value-based purchasing. Review techniques for how to engage physicians, your team, and your patients in the ASC. Explain…

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