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Related Experiment Video

Updated: Jul 19, 2026

Surgical Robot-Assisted Transanal Specimen Extraction Radical Sigmoidectomy Without an Auxiliary Abdominal Incision

Surgical Robot-Assisted Transanal Specimen Extraction Radical Sigmoidectomy Without an Auxiliary Abdominal Incision

Published on: June 13, 2025

Visualizing the demand for various resources as a function of the master surgery schedule: a case study.

Jeroen Beliën¹, Erik Demeulemeester, Brecht Cardoen

¹Department DSIM: Decision Sciences & Information Management, Research Center for Operations Management, Faculty of Economics and Applied Economics, Katholieke Universiteit Leuven, Naamsestraat 69, B-3000 Leuven, Belgium. jeroen.belien@econ.kuleuven.be

Journal of Medical Systems

|October 31, 2006

Summary

This study introduces software to visualize how the master surgery schedule impacts hospital resource demand. It helps decision-makers optimize scheduling for better resource allocation and efficiency.

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Last Updated: Jul 19, 2026

Surgical Robot-Assisted Transanal Specimen Extraction Radical Sigmoidectomy Without an Auxiliary Abdominal Incision

Surgical Robot-Assisted Transanal Specimen Extraction Radical Sigmoidectomy Without an Auxiliary Abdominal Incision

Published on: June 13, 2025

Area of Science:

Health Informatics
Operations Research
Hospital Management

Background:

The master surgery schedule is a critical driver of hospital operations.
Understanding its impact on resource demand is essential for efficient hospital management.
Current methods may lack dynamic visualization of schedule-resource interdependencies.

Purpose of the Study:

To present a novel software system for visualizing the impact of master surgery schedules on hospital resource demand.
To enable decision-makers to instantaneously assess the effects of schedule changes on resource consumption.
To provide a tool for improving the construction of surgery schedules.

Main Methods:

Development of a software system for dynamic visualization.
Integration of master surgery schedule data with resource demand metrics.
Case study application in a Belgian surgery unit.

Main Results:

The software provides instantaneous visualization of resource demand patterns linked to the surgery schedule.
It allows for the assessment of impacts from schedule modifications (e.g., block assignment changes).
A case study demonstrated its utility in enhancing surgery schedule planning.

Conclusions:

The developed software effectively visualizes the relationship between surgery scheduling and hospital resource demand.
This tool can assist hospital managers in making more informed decisions for optimized resource allocation.
The system facilitates the creation of more efficient and effective master surgery schedules.