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Emergency Undocking in Robotic Surgery: A Simulation Curriculum
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Managing uncertainties in the surgical scheduling.

Lisa Wiyartanti1, Myon Woong Park1, Dahee Chung2

  • 1Korea University of Science and Technology, Daejeon, Rep. of Korea.

Studies in Health Technology and Informatics
|May 21, 2015
PubMed
Summary

This study introduces a resilience-based model to manage uncertainties in surgical scheduling, offering adaptable solutions for unexpected delays and cancellations to improve operating room management.

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Area of Science:

  • Healthcare Management
  • Operations Research
  • Resilience Engineering

Background:

  • Current surgical scheduling systems struggle with unpredictable events like same-day delays or cancellations.
  • These uncertainties lead to system fragility and operational inefficiencies.

Purpose of the Study:

  • To develop a model for managing uncertainties in continuous surgical scheduling.
  • To frame the scheduling process within the concept of resilience to enhance system robustness.

Main Methods:

  • Identified and categorized dimensions of uncertainty.
  • Applied the resilience concept to manage system fragility.
  • Computed the impact of schedule changes on potentially conflicted resources.

Main Results:

  • The model provides a list of acceptable and less vulnerable alternatives for schedulers.
  • It enables better control and adjustment of changes affecting the daily surgery schedule.
  • Identified key dimensions of uncertainty and their impact on resource allocation.

Conclusions:

  • The proposed model enhances resilience in surgical scheduling.
  • It offers practical solutions for anesthesiologists to manage daily operational challenges.
  • Improved management of uncertainties leads to more robust surgical scheduling.