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tablet screen displaying the text 'how ai reduced length of stay across service lines: a cedars-sinai medical center study highlights the role ai can play in reducing the length of stay for intracranial hemorrhage and pulmonary embolism patients'

How AI Reduced Length of Stay Across Service Lines

Cedars-Sinai Medical Center set out to establish whether there was a difference in length of stay times for intracranial hemorrhage (ICH) and pulmonary embolism (PE) patients following the adoption of Aidoc’s radiological worklist triage solution.

The results included:

  • An 11.9% decreased length of stay for patients with ICH
  • A 26.3% decreased length of stay for patients with PE

Read more about Cedars-Sinai Medical Center’s study purpose, materials and methods, and results in this short research summary.

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