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

Design Example: Creating a Hydraulic Model of a Dam Spillway

Design Example: Creating a Hydraulic Model of a Dam Spillway

Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.

Design Example: Designing a Residential Plumbing System

Design Example: Designing a Residential Plumbing System

The design of residential plumbing systems requires carefully evaluating water demand, flow rates, and pressure dynamics to ensure both efficiency and reliability. The nature of water flow within pipes is defined by its Reynolds number, which classifies flow as either laminar (smooth) or turbulent.

Response Surface Methodology

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:

Design Example: Designing Water Slide

Design Example: Designing Water Slide

When designing a water slide, controlling the speed of water flow is crucial for rider safety while maintaining an exciting experience. As water flows down the slide, gravity causes it to accelerate, with its speed at the bottom depending on the height from which it starts. The higher the slide, the more potential energy the water has at the top, which is converted into kinetic energy as it descends, increasing its speed.
Bernoulli's principle determines the water's velocity along the slide.

Three-Dimensional Force System:Problem Solving

Three-Dimensional Force System:Problem Solving

A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...

You might also read

Related Articles

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

Sort by

Same author

Experiences, Challenges and Adaptations Among Stroke Rehabilitation Staff During the First and Second COVID-19 Waves in Sweden-A National Survey.

Scandinavian journal of caring sciences·2026

Same author

Unveiling the potential of digital twins in homecare: A reflexive thematic analysis of older adults' views.

Digital health·2026

Same author

Enhancing Quality of Life for Individuals with Stroke (EQL): a study protocol for co-creating a social support and context-informed intervention to improve self-management, health and well-being in older adults recovering at home.

BMJ open·2026

Same author

A non-randomised controlled study of the missing link person-centred care transition support intervention after stroke or TIA.

Scientific reports·2026

Same author

Designing Meaningful Engagement for Older Adults: An Evaluation of Participation in a Five-Day Co-Design Sprint.

Health expectations : an international journal of public participation in health care and health policy·2026

Same author

Implementing Peer Learning in Clinical Nursing Education: Addressing Challenges in High-Pressure Healthcare Systems-An Interview Study.

SAGE open nursing·2025

Search research articles

Related Experiment Videos

Using system dynamics for collaborative design: a case study.

Marie Elf¹, Mariya Putilova, Lena von Koch

¹Chalmers University of Technology, Göteborg, Sweden. marie.elf@chalmers.se

BMC Health Services Research

|August 9, 2007

Summary

This summary is machine-generated.

System dynamics (SD) enhanced collaborative design for a new stroke unit by enabling clear process descriptions and joint understanding. This quality improvement tool is recommended for early-stage planning.

Related Experiment Videos

Area of Science:

Healthcare Management
Systems Engineering
Public Health

Background:

System dynamics (SD) and group modeling were employed in the initial planning phases of a new stroke unit.
A multidisciplinary team collaborated over six workshops to develop an SD model for the stroke unit.

Purpose of the Study:

To evaluate the extent and manner in which system dynamics facilitated the collaborative design process.
To assess the impact of SD on the planning and conceptualization of stroke care services.

Main Methods:

A case study approach was utilized, incorporating multiple data sources for comprehensive analysis.
Qualitative data collection likely involved workshop observations, interviews, and document analysis.

Main Results:

System dynamics fostered collaborative design by enabling explicit articulation of the stroke care process.
The SD model facilitated dialogue, promoted a shared understanding among professionals, and supported reflection on care delivery.
Model construction necessitated conceptualization of stroke care, while experimentation allowed for critical reflection.

Conclusions:

System dynamics proved to be an effective tool in facilitating collaborative design processes.
Integrating system dynamics early in the design phase is recommended as a valuable quality improvement strategy for healthcare planning.