Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Planning Nursing Care I

Planning Nursing Care I

The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...

Multimachine Stability

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Monitoring of persistent organic pollutants in mosses: results from the German moss monitoring surveys 2015 and 2020.

Environmental research·2026

Same author

Personalized case management for caregivers of children with chronic illnesses or disabilities: A non-randomized controlled trial.

International journal of nursing studies·2026

Same author

Identifying optimal locations for automated external defibrillators (AED) in Freiburg: development and validation of a machine learning model based on demographic and infrastructural data.

BMC emergency medicine·2025

Same author

Effects of micro- and macro-stressors and resilience factors on the mental health of parents caring for chronically ill and disabled children and adolescents.

BMC nursing·2025

Same author

[On the effectiveness of a new advisory service for parents of children in need of care: a controlled study].

Pflege·2024

Same author

[Use of support and relief services for parents of children in need of care: Results of the FamBer observational study].

Pflege·2024

Search research articles

Related Experiment Video

Updated: Jul 29, 2025

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

Strategic planning of operating room session allocation using stability analysis.

Shiva Faeghi¹, Kunibert Lennerts¹, Stefan Nickel²

¹Department of Civil Engineering, Geo and Environmental Sciences, Institute of Technology and Management in Construction, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Health Systems (Basingstoke, England)

|May 26, 2023

Summary

This study introduces a novel game theory approach to fairly allocate limited operating room (OR) resources, reducing surgeon conflict and improving OR session distribution.

Keywords:

Resource allocation operating rooms stability

More Related Videos

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

Three-Dimensional Preoperative Virtual Planning in Derotational Proximal Femoral Osteotomy

Three-Dimensional Preoperative Virtual Planning in Derotational Proximal Femoral Osteotomy

Published on: February 17, 2023

Related Experiment Videos

Last Updated: Jul 29, 2025

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

Three-Dimensional Preoperative Virtual Planning in Derotational Proximal Femoral Osteotomy

Three-Dimensional Preoperative Virtual Planning in Derotational Proximal Femoral Osteotomy

Published on: February 17, 2023

Area of Science:

Operations Research
Game Theory
Healthcare Management

Background:

Operating room (OR) resources are scarce, leading to competition among surgeons.
Current OR allocation methods prioritize departmental productivity over individual surgeon preferences, causing dissatisfaction.
Existing optimization techniques often fail to address surgeon preferences adequately.

Purpose of the Study:

To develop a fair and stable methodology for allocating operating room (OR) sessions.
To resolve conflicts arising from the competition for limited OR resources.
To introduce a game theoretic framework for OR resource allocation.

Main Methods:

Formulating OR session allocation as a game with surgeons/specialties as players.
Defining and measuring 'stability' using the Power Index method.
Integrating the Monte-Carlo technique to handle uncertainties in the allocation process.

Main Results:

The proposed game theoretic model offers a stable allocation of OR resources.
The Power Index effectively quantifies stability in the allocation game.
The Monte-Carlo simulation demonstrates the robustness of the method under uncertainty.

Conclusions:

Game theory provides a superior framework for OR resource allocation compared to traditional optimization.
The proposed methodology enhances surgeon satisfaction by incorporating their preferences.
This approach leads to more stable and equitable distribution of limited OR time.