Enhancing surgical efficiency: predicting same-day cancellations in urologic procedures - Takeaways - MDSpire

Enhancing surgical efficiency: predicting same-day cancellations in urologic procedures

  • By

  • Pablo A. Suarez

  • Sudarshan Srirangapatanam

  • Lynn Leng

  • Mubarak M. Momodu

  • John Neuhaus

  • David B. Bayne

  • December 17, 2025

  • 0 min

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  • 1

    Day-of-surgery cancellations significantly reduce hospital productivity and increase healthcare costs, impacting patient treatment delays.

  • 2

    86% of elective surgery cancellations are preventable, with hospital-related factors being the most common causes.

  • 3

    Statistical prediction models can effectively predict surgical cancellations, but previous studies often overlook social determinants of health.

  • 4

    A predictive model using holistic EHR data and social determinants aims to enhance the accuracy of predicting day-of-surgery cancellations.

  • 5

    The study cohort included 778 patients, with a day-of-surgery cancellation rate of 17.5%, highlighting the need for targeted interventions.

Original Source(s)

Enhancing surgical efficiency: predicting same-day cancellations in urologic procedures

  • by Pablo A. Suarez, Sudarshan Srirangapatanam, Lynn Leng, Mubarak M. Momodu, John Neuhaus, David B. Bayne

  • December 17, 2025

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