Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Modeling and Similitude01:12

Modeling and Similitude

728
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
728
Typical Model Studies01:30

Typical Model Studies

687
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
687
Control Systems01:10

Control Systems

2.0K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
2.0K
Modeling in Therapy01:26

Modeling in Therapy

724
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
724
Transient and Steady-state Response01:24

Transient and Steady-state Response

674
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
674
Control Systems: Applications01:25

Control Systems: Applications

1.3K
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
1.3K

You might also read

Related Articles

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

Sort by
Same author

The Path to Independence: Progression in Entrustment Reflected in Entrustable Professional Activity Ratings.

Annals of surgery·2026
Same author

Evaluation of the Quality of General Surgery Entrustable Professional Activities Using the EQual Rubric.

Journal of surgical education·2025
Same author

Implementation and evaluation of a communication coaching program: a CFIR-Informed qualitative analysis mapped onto a logic model.

BMC medical education·2025
Same author

Novel Use of Objective Sensor Technology: Creation of Individualized Education Plans to Develop Operative Mastery.

Journal of the American College of Surgeons·2025
Same author

Strategies to foster stakeholder engagement in residency coaching: a CFIR-Informed qualitative study across diverse stakeholder groups.

Medical education online·2024
Same author

Differences in coaching in single- versus dual-console robotic cases: a mixed-methods study.

Surgical endoscopy·2024
Same journal

Social Determinants of Health, Health Disparities, and Surgical Equity.

The Surgical clinics of North America·2026
Same journal

Beyond the Scalpel's Reach.

The Surgical clinics of North America·2026
Same journal

Stepwise Solutions-Society.

The Surgical clinics of North America·2026
Same journal

Stepwise Solutions-Hospitals.

The Surgical clinics of North America·2026
Same journal

Stepwise Solutions for Providers.

The Surgical clinics of North America·2026
Same journal

Stepwise Solutions-Patients Social Determinants of Health, Health Disparities, and Surgical Equity.

The Surgical clinics of North America·2026
See all related articles

Related Experiment Video

Updated: Apr 6, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

3.1K

Using Simulation to Improve Systems.

Peter W Lundberg1, James R Korndorffer1

  • 1Department of General Surgery, Tulane University School of Medicine, 1430 Tulane Avenue, New Orleans, LA 70112, USA.

The Surgical Clinics of North America
|July 27, 2015
PubMed
Summary
This summary is machine-generated.

Simulation technology helps identify healthcare system problems safely and effectively. This approach, adopted from aviation and manufacturing, enhances patient safety and quality improvement initiatives.

Keywords:
SimulationSix SigmaSurgerySystemsTeam STEPPS

More Related Videos

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy
06:54

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

Published on: January 20, 2023

3.8K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

622

Related Experiment Videos

Last Updated: Apr 6, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

3.1K
A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy
06:54

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

Published on: January 20, 2023

3.8K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

622

Area of Science:

  • Healthcare Quality Improvement
  • Patient Safety
  • Medical Simulation Technology

Background:

  • Healthcare systems increasingly use simulation-based exercises for risk management.
  • High-risk clinical areas like emergency departments and operating rooms benefit significantly.
  • Simulation adoption in healthcare follows successful implementation in manufacturing and aviation.

Purpose of the Study:

  • To highlight the value of simulation technology in healthcare.
  • To underscore its role in proactive identification of systemic issues.
  • To emphasize the improvement of patient safety and quality.

Main Methods:

  • Review of simulation technology adoption in healthcare.
  • Comparison with system-oriented improvement strategies in other industries.
  • Analysis of simulation's application in high-risk healthcare settings.

Main Results:

  • Simulation offers a low-risk method for identifying systemic problems.
  • Healthcare is increasingly adopting simulation for quality and safety.
  • Simulation's roots are in manufacturing and aviation sectors.

Conclusions:

  • Simulation technology is a valuable tool for enhancing healthcare quality and safety.
  • Proactive identification of systemic issues is achievable through simulation.
  • Cross-industry adoption demonstrates simulation's broad applicability and effectiveness.