Short answer

Incorporate mock-up simulations and movement analysis into the design process for complex functional spaces to accurately define spatial needs and improve efficiency.

Field
Human Factors
Source
Journal of Healthcare Engineering (2010)
Method
Case study with spatial analysis
Evidence
Strong effect

Utilizing mock-ups and spatial analysis protocols can optimize the functional space allocation for intensive care units, leading to more efficient layouts. This human factors research insight is drawn from a 2010 study published in Journal of Healthcare Engineering. Using Case study with spatial analysis, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate mock-up simulations and movement analysis into the design process for complex functional spaces to accurately define spatial needs and improve efficiency.

Study
Human FactorsHigh ImpactStrong effect

Mock-up Planning Reduces Adult ICU Space Needs by 15% and NICU by 10%

Utilizing mock-ups and spatial analysis protocols can optimize the functional space allocation for intensive care units, leading to more efficient layouts.

Journal of Healthcare Engineering · 2010

01

Key Findings

  • 01The average functional clinical space for an adult critical care unit was determined to be 22.83m² (excluding family, hygiene, and in-room storage).
  • 02The average functional clinical space for a neonatal intensive care unit was determined to be 13.5m² (excluding circulation and storage).
  • 03The protocol was refined between the two case studies to address identified limitations.
02

Application

Design takeaway

Incorporate mock-up simulations and movement analysis into the design process for complex functional spaces to accurately define spatial needs and improve efficiency.

How to apply

When designing spaces with complex, dynamic workflows (e.g., operating rooms, laboratories, control centers), create full-scale mock-ups and observe user interactions to determine optimal dimensions and layouts.

Project actions

  • 01When planning a space, think about how users will actually move and interact within it.
  • 02Consider using simple materials to build a full-scale mock-up of a key area to test different layouts.
03

Method & Evidence

AimTo determine the functional space requirements for adult and neonatal intensive care clinical activities using a mock-up planning protocol.
MethodCase study with spatial analysis
ProcedureA 5-step protocol involving mock-ups was used to conduct functional space experiments. Multi-directional filming captured nurse and equipment movements within the mock-up spaces, and frame-by-frame analysis plotted movement patterns to define minimum spatial rectangles for clinical activities.
ContextHealthcare facility design (Adult and Neonatal Intensive Care Units)

Variables

IVUse of mock-up planning protocol and spatial analysis.
DVFunctional space requirements (m²) for adult and neonatal intensive care units.
CVType of intensive care unit (adult vs. neonatal), specific clinical activities simulated, exclusion criteria for space calculation (e.g., family space, storage).
04

Strengths & Limitations

Strengths

  • +Directly links user activity to spatial requirements.
  • +Provides quantitative data for design decisions.
  • +Demonstrates iterative improvement of a methodology.

Limitations

Mock-ups are simulations and may not perfectly replicate real-world conditions or the stress of actual use.

Reliability & validity

Reliability would be enhanced by using consistent filming and analysis techniques across participants and sessions. Validity is supported by the direct observation of user behaviour and the subsequent incorporation of findings into government guidance, suggesting practical relevance.

Think critically

How might the 'stress' or 'urgency' of a real clinical situation affect the movement patterns observed in a mock-up, and how could this be accounted for in design?

05

Design Principles

"Optimize spatial allocation through empirical simulation of user workflows."

This research demonstrates a practical method for designers to determine optimal spatial requirements in complex healthcare environments. By simulating clinical activities, designers can avoid over-allocating space, which has significant cost and resource implications, while ensuring adequate room for critical functions.

06

What This Means for Your Design

Using pretend rooms and watching how people move around in them helps figure out exactly how much space is really needed for a hospital's critical care areas.

How to use in your project

  • 1.Reference this study when justifying the spatial requirements or layout decisions for a design project, particularly if it involves simulating user activity.
07

Add to My Project

08

Quick Cite

Paragraph starter

The study by Hignett, Lu, and Fray (2010) highlights the efficacy of using mock-ups and spatial analysis to determine functional space requirements in intensive care units. Their research demonstrated that simulating clinical activities within mock-up environments allowed for precise quantification of necessary space, leading to optimized layouts and potentially significant efficiencies in facility design.

09

Source

Journal of Healthcare Engineering

Two Case Studies Using Mock‐Ups for Planning Adult and Neonatal Intensive Care Facilities

journal · 2010

View source

Questions About This Research

What does the research say about mock-up planning reduces adult icu space needs by 15% and nicu by 10%?
Incorporate mock-up simulations and movement analysis into the design process for complex functional spaces to accurately define spatial needs and improve efficiency. Evidence: Journal of Healthcare Engineering (2010).
Why does "Mock-up Planning Reduces Adult ICU Space Needs by 15% and NICU by 10%" matter for design?
This research demonstrates a practical method for designers to determine optimal spatial requirements in complex healthcare environments. By simulating clinical activities, designers can avoid over-allocating space, which has significant cost and resource implications, while ensuring adequate room for critical functions.
How can designers apply this research?
Incorporate mock-up simulations and movement analysis into the design process for complex functional spaces to accurately define spatial needs and improve efficiency.
What were the main findings?
The average functional clinical space for an adult critical care unit was determined to be 22.83m² (excluding family, hygiene, and in-room storage).. The average functional clinical space for a neonatal intensive care unit was determined to be 13.5m² (excluding circulation and storage).. The protocol was refined between the two case studies to address identified limitations.
What research method was used?
Case study with spatial analysis.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2010 journal from Journal of Healthcare Engineering.
What should I do differently in my next project?
When designing spaces with complex, dynamic workflows (e.g., operating rooms, laboratories, control centers), create full-scale mock-ups and observe user interactions to determine optimal dimensions and layouts.
What are the limitations?
The study focused on specific types of intensive care units and may not be directly generalizable to all healthcare settings. The analysis was based on observed movements within a simulated environment.