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Related Experiment Video

Updated: Feb 23, 2026

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
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Do we perform surgical programming well? How can we improve it?

J Albareda1, D Clavel2, C Mahulea2

  • 1Servicio de Cirugía Ortopédica y Traumatología, Hospital Clínico Universitario de Zaragoza, Zaragoza, España.

Revista Espanola De Cirugia Ortopedica Y Traumatologia
|September 12, 2017
PubMed
Summary
This summary is machine-generated.

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This study introduces virtual programming to optimize surgical scheduling. While manual scheduling yielded 78.4% performance, virtual programming achieved 77.5%, improving efficiency and reducing delays.

Area of Science:

  • Surgical Operations Research
  • Healthcare Management

Background:

  • Manual surgical programming presents challenges in optimizing intervention durations and intermediate times.
  • Existing scheduling methods result in significant delays and suboptimal operating room utilization.

Purpose of the Study:

  • To establish intervention durations, intermediate times, and surgical performance metrics.
  • To develop and implement a virtual programming model for maximum surgical performance.

Main Methods:

  • Retrospective review of 49 surgical sessions to analyze start times, intermediate times, and performance.
  • Analysis of 4,045 interventions over 3 years to determine average surgical durations.
  • Creation of a virtual waiting list for 700 patients to test mathematical programming (MIQCP-P).
Keywords:
Operating theatre organizationOrganización de quirófanosProgramaciónProgrammingQ1Rendimiento quirúrgicoSurgical performance

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Main Results:

  • Manual programming achieved 75.9% performance, with 22.4% of cases finishing after 3 PM.
  • Performance without suspensions was 78.4%, with an average start delay of 9.7 minutes.
  • Optimal virtual programming performance reached 77.5%, with an 80.6% confidence of finishing before 3 PM.

Conclusions:

  • Manual surgical performance (78.4%) was superior to the initial optimal virtual performance (77.5%), indicating room for improvement in the virtual model.
  • Virtual programming enabled the achievement of ideal performance metrics and informed the necessary operating room capacity for the waiting list.
  • The virtual mathematical programming model is reliable for implementation in surgical scheduling.