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How machine learning is helping 2 health systems maximize OR efficiency

Many health systems are exploring ways to make their operating rooms more efficient amid mounting margin, access, and quality pressures. Learn how two health systems are leveraging machine learning algorithms to optimize their OR scheduling approaches.

Most health systems still struggle with inefficient ORs. Problems like limited visibility into OR supply and demand, under-informed scheduling blocks, and delayed responses to cancellations lead to unused OR time and OR overruns. These issues cost the health systems hundreds of thousands of dollars, and lead to longer wait times for patients.

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INTENDED AUDIENCE
  • Digital health
  • Hospitals and health systems
  • International
AFTER YOU READ THIS
  • You will be able to identify some of the common problems health systems are facing in OR scheduling.
  • You will have an understanding of ML and how it can be leveraged effectively in OR scheduling.
  • You will learn how two health systems are using AI to optimize OR operations.

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