ACED Conference Workshop · Conducted by IEH

2 August 2026 · 9:00 am to 5:00 pm · Designing for Workplace Health: Integrating Ergonomics and Occupational Hygiene Using Digital Tools and AI

ACED Conference 2026 · 2 August 2026 · One-day professional workshop

Designing for Workplace Health: Integrating Ergonomics and Occupational Hygiene Using Digital Tools and AI

A practical workshop for integrating workplace health into design decisions before risks become embedded in the system.

Course outline

Designing for Workplace Health

Integrating Ergonomics and Occupational Hygiene Using Digital Tools and AI

Course / Workshop Description

Ergonomics and occupational hygiene have long been recognised as complementary disciplines. However, in practice, they are often applied in parallel rather than as an integrated design strategy. This workshop explores how ergonomics and occupational hygiene can be unified at the design stage through digital tools and artificial intelligence.

Participants will examine how posture, workload, environmental conditions and exposure dynamics interact, and how modelling platforms, digital human simulation, computational fluid dynamics, BIM and AI-assisted analytics may enable predictive, preventive design.

Objectives

  • Examine the interdependent relationship between ergonomics and occupational hygiene.
  • Explore why design-stage integration is critical in modern socio-technical systems.
  • Identify opportunities for digital tools and AI to support predictive risk management.
  • Facilitate expert discussion and collaborative framework development.
2 August 2026 · One-day workshop

Programme outline

The day moves from disciplinary reframing to design-stage integration, digital enablement and collaborative framework development.

9:00–9:30Introduction and framing the challenge
9:30–10:15Module 1 · From Complementary to Interdependent
10:15–11:00Tea break
11:00–12:15Module 2 · Designing at the Source
12:15–1:00Lunch
1:00–2:15Module 3 · Digital Tools and AI as Enablers
2:15–3:15Integrated workshop case
3:15–4:00Tea break
4:00–4:45Module 4 · Co-Creating the Designing for Health Framework
4:45–5:00Questions, reflection and closing
Workshop facilitator
Zephan Chan, workshop facilitator
Zephan Chan
Occupational Hygienist & Ergonomist

Institute of Ergonomics and Hygiene, Singapore

ErgonomicsOccupational HygieneHuman FactorsSystems Thinking
About the organisation

Institute of Ergonomics and Hygiene

IEH helps organisations understand, assess and manage workplace health risks through practical consultancy, professional training and evidence-informed solutions. Its specialist focus brings together ergonomics, human factors, occupational hygiene and workplace health risk management.

Originally established by the Institute of Occupational Medicine in 2012, IEH became an independent organisation in December 2021 while maintaining strong professional ties with IOM. Its purpose is to advance quality work and healthy life through strategic and innovative solutions for good ergonomics and hygiene.

Ergonomics & Human FactorsWork, task, equipment and system design.
Occupational HygieneAnticipation, evaluation and control of health hazards.
Workplace Safety & HealthPractical advisory, review and capability building.
About IEH ↗

Trainer profile

Zephan Chan is an Occupational Hygienist and Ergonomist with extensive consulting and training experience across Asia. His work spans ergonomics risk assessment, occupational hygiene exposure evaluation, dust hazard analysis, human factors investigation and system-level safety design. He focuses on integrating traditionally siloed disciplines and exploring how digital tools, simulation technologies and artificial intelligence can support preventive, design-stage approaches to workplace health.

Workshop emphasis

  • Connecting exposure science with human-centred design.
  • Moving health-risk decisions earlier in the project lifecycle.
  • Using digital tools and AI to support—not replace—professional judgement.
  • Translating workshop discussion into a practical organisational framework.
01
Module 1

From Complementary to Interdependent

Reframing Ergonomics and Occupational Hygiene

Purpose

Reframe ergonomics and occupational hygiene as two interdependent lenses on the same work system, then show why design decisions must consider posture, workload, environment and exposure together.

Duration · 60 minutes

Learning Objectives

  • Define ergonomics and occupational hygiene as complementary but interdependent workplace-health disciplines.
  • Identify how task design, environment, exposure and organisation interact in real work.
  • Recognise the limitations of siloed ergonomic and hygiene assessments.
  • Explain why integration must occur early in workplace design decisions.
OpenUse a provocative question to surface assumptions about why the disciplines often work independently.
TraceShow how workplace health evolved from injury prevention to complex socio-technical design challenges.
ComparePresent ergonomics and occupational hygiene side by side, then shift the discussion toward overlap and interaction.
ApplyUse a workplace scenario so participants identify ergonomic issues, hygiene issues and opportunities for integrated design.
Module 1 · Main Content Window

From Complementary to Interdependent

01
Module 1 · Title
Reframing the disciplines
From complementary practice to interdependent design.

Module 1 establishes the core argument: ergonomics and occupational hygiene are not separate add-ons to workplace design. They are two lenses on the same work system.

Core premise

A healthy workplace is not achieved by checking ergonomic and hygiene risks separately.

Design implication

Early design decisions shape posture, workload, exposure, ventilation, noise, fatigue and recovery together.

Ergonomist and occupational hygienist jointly assessing a workplace
02
Opening question
Table discussion · 3 minutes
“If we share the same goal of protecting worker health, why do ergonomists and occupational hygienists often work independently?”

Ask participants to identify where separation occurs in real projects: procurement, design review, risk assessment, operations, contractor management or incident investigation.

Listen for

Late involvement, different reporting lines, different measurement methods and discipline-specific language.

Transition

The problem is not professional competence; it is system fragmentation.

03
Learning objectives
What participants should leave with

By the end of this module, participants should be able to explain why the two disciplines must interact during workplace design.

60 minutes
1
Define the lenses

Describe the purpose and scope of ergonomics and occupational hygiene without reducing either discipline to a checklist.

2
Identify interaction

Recognise how task design, worker behaviour, exposure pathways and environmental conditions influence one another.

3
Challenge siloed assessment

Explain why separate assessments can miss combined, cumulative or design-created risks.

4
Reframe the role

Position both disciplines as upstream design partners, not only post-implementation evaluators.

Module 1 slide 4
05
Lens 1 · Ergonomics
Ergonomics: designing work to fit people
Focus
Human capability, limitation, performance and well-being within a system.

The International Ergonomics Association describes ergonomics / human factors as a scientific discipline concerned with interactions among humans and other system elements, applying theory, principles, data and methods to optimise human well-being and system performance.

— International Ergonomics Association
Ergonomics domains and human factors illustration
06
Lens 2 · Occupational hygiene
Occupational hygiene: preventing ill-health from exposure

Occupational hygiene anticipates, recognises, evaluates and controls workplace health hazards to protect worker health and well-being.

1Anticipate

What agents, tasks and design assumptions may create exposure?

2Recognise

Where are sources, pathways and exposed groups?

3Evaluate

How significant is the exposure and under what work conditions?

4Control

How can the design eliminate, reduce or isolate exposure?

5Verify

How will control performance be validated during use?

Occupational hygienist assessing workplace exposure controls
The strongest hygiene questions are design questions: source, pathway, receiver and control performance.
07
Moving toward integration
Same work system. Different lenses. Shared outcome.

The two disciplines look at the same reality: how work is designed, performed and controlled.

Module 1 slide 7 integration illustration
WorkWorkerTools & MaterialsEnvironmentExposureHealth
Ergonomics asks

Can people perform the work safely, sustainably and effectively within their physical, cognitive and organisational limits?

Occupational hygiene asks

What hazardous agents are generated, how are workers exposed, and how can the design control exposure at source?

08
Case example
Warehouse loading bay

During one shift, a worker may experience multiple demands at the same time.

Manual handling Repetitive lifting Heat load Diesel exhaust Noise Fatigue Time pressure Vehicle interaction
Integrated question

If we assess each issue separately, are we understanding the worker's real exposure profile?

09
What changes when we integrate?
Siloed assessmentSeparate findings

Manual handling report, noise report, ventilation report and fatigue discussion may each be technically correct but disconnected.

Integrated assessmentOne design conversation

The team asks how layout, pace, load weight, traffic flow, ventilation, heat and staffing interact to produce worker health risk.

Better diagnosis

Risks are traced to shared design causes.

Better controls

One design change can reduce several risks.

Better trade-off control

The team checks whether solving one problem creates another.

10
Unintended consequences
Good controls can create new risks if they are not designed as a system.
Mechanisation

May reduce manual handling but introduce noise, vibration, guarding, maintenance access or cognitive monitoring demands.

Ventilation redesign

May improve contaminant control but affect thermal comfort, draught, energy use or work access.

Layout change

May improve reach and flow but alter forklift routes, exposure zones, evacuation access or cleaning practices.

Integrated design asks: “What else changes when we change this?”
11
Activity · 15 minutes
Use the integrated lens

Give each group a workplace scenario or photograph. Ask them to map the system, not just list hazards.

1
Work

What task, pace, sequence and outputs are expected?

2
Worker

Who performs the work and what human demands are created?

3
Exposure

What agents, sources, pathways and receiving groups are present?

4
Design opportunity

Which design change could improve both ergonomic and hygiene outcomes?

Report back
One ergonomic issue.
One occupational hygiene issue.
One interaction between the two.
One design opportunity that addresses both.
12
Module close
Key reframing for Module 1
1Ergonomics and occupational hygiene are lenses on the same work system.
2Separate assessments can miss interactions, trade-offs and cumulative demands.
3Integration is most powerful when it happens before the workplace is built or changed.
Bridge to Module 2: If Module 1 changes how we think, Module 2 changes when and how we design.
02
Module 2

Designing at the Source

Integrating Health at the Design Stage

Purpose

Introduce Prevention through Design and present a Designing for Health framework that integrates health considerations early in the design process.

Duration · 70 minutes

Learning focus

  • Recognise why late health decisions are costly and less effective.
  • Apply Prevention through Design as a workplace health strategy.
  • Use the Designing for Health Framework to structure design-stage review.
  • Integrate safety, occupational hygiene, ergonomics and health risks into every design decision.
  • Identify integrated design opportunities using a practical workplace scenario.
Move upstreamShift health input from post-implementation assessment to concept and detailed design.
Structure decisionsUse Work, Worker, Environment, Exposure, Design and Validation as a design-stage sequence.
Use an integrated hazard lensAt every stage, consider injury risks, chemical and physical exposures, ergonomic demands, maintenance, emergencies and foreseeable misuse.
Challenge assumptionsAsk what hazards the design creates before construction or operation begins.
ApplyUse a manufacturing assembly-cell case study and Designing for Health Canvas.
Module 2 · Main Content Window

Designing at the Source

01
Module 2 · Section title
Designing at the Source

Integrating Health at the Design Stage

Presenter note: “If Module 1 was about changing how we think, Module 2 is about changing how we design.”
Integrated
Design
Engineering
AIAnalytics
🧍Ergonomics
Hygiene
02
The cost of late decisions
The Earlier We Design, the Greater the Impact
Concept Design
Highest
Detailed Design
High
Construction
Moderate
Operation
Low
Retrofit
Lowest
Late changes cost more and achieve less.
03
Discussion
Why do we wait?

Why are ergonomists and occupational hygienists often involved only after problems occur?

01Project deadlines
02Cost pressures
03Lack of awareness
04Limited collaboration
05Reactive culture
06Health professionals not at the design table
04
Prevention through Design
Prevention through Design (PtD)
Designing out hazards before they become workplace problems.
Elimination
Substitution
Engineering Controls
Administrative Controls
PPE
05
Traditional workplace health
Traditional Workplace Health
Design
Build
Operate
Problems
Assessment
Controls
Health is managed after problems appear.
06
A better approach
A Better Approach
Understand Work
Design
Predict Risks
Improve Design
Build Healthy Workplace
Health becomes part of the design process.
07
Design process
Human-Centred Design for Safe Work
Set Design Goals
Research Users & Context
Allocate Functions
Analyse Tasks
Design Interfaces & Workplace
Validate & Improve
Safety, occupational hygiene, ergonomic and health requirements must be defined before layout, equipment and interfaces become fixed.
Integrated hazard lens: At every step, ask what can injure workers, what can expose them, what can overload them, and what can fail during abnormal or maintenance work.
08
Step 1
Set Clear Design Goals

A design team cannot optimise what it has not defined.

01Production and quality
02Safety and exposure control
03Human performance and workload
04Maintainability and access
05Usability and error tolerance
06Measurable validation criteria
Good goals balance human, technical, organisational and economic requirements—not output alone.
Do not set productivity goals in isolation. Include measurable targets for injury prevention, exposure control, thermal conditions, noise, manual handling, fatigue, emergency access and maintainability.
09
Step 2
Research Users and Context of Use
Who will operate, clean, maintain and supervise the system?
What capabilities, limitations and variations must be accommodated?
What happens during normal, peak, abnormal and emergency conditions?
What do workers currently do to make the task succeed?
Which controls are likely to obstruct work or be bypassed?

Use observations, interviews, walkthroughs, participatory workshops, mock-ups and prototype trials—not assumptions.

Research the full exposure context: ask about chemicals, dusts, fumes, noise, heat, biological agents, energy sources, vehicle movement, manual handling, fatigue and the controls workers bypass.
OperatorsMaintainersCleanersSupervisors
10
Step 3
Allocate Functions Deliberately

Decide what should be done by people, machines, software, automation or a combined system.

People are strong at
  • Judgement and adaptation
  • Recognising unusual conditions
  • Communication and coordination
  • Handling variability
Technology is strong at
  • Repetitive and high-force work
  • Continuous monitoring
  • Precision and consistency
  • Hazardous or inaccessible tasks
Automation changes human work. It often transfers work to monitoring, intervention, cleaning, fault recovery and maintenance.
Function allocation must reduce risk, not relocate it. Check whether automation creates new exposure during cleaning, maintenance, jam clearing, battery charging, troubleshooting or emergency recovery.
11
Step 4
Analyse the Real Tasks
Normal Operation
Changeover
Cleaning
Jam / Fault Recovery
Maintenance & Emergency
Sequence, frequency, duration and pace
Posture, reach, force, visibility and cognitive demand
Tools, access, clearances and communication
Energy sources, contaminants and simultaneous exposures
Foreseeable errors, shortcuts and misuse
The highest-risk task is often not normal production—it is intervention when the system fails.
For every task: identify safety hazards, ergonomic demands, chemical and physical agents, exposure pathways, simultaneous exposures, required controls and foreseeable shortcuts.
12
Step 5
Design the Physical and Digital Interface
Workstation, layout, reach and access
Controls, displays, alarms and feedback
Information hierarchy and visibility
Error prevention, recovery and safe defaults
Ventilation, enclosure, noise and environmental control
Maintenance, cleaning and emergency access

UX/UI principles also apply to industrial control systems: the interface must support the user’s task, mental model and decisions under real operating conditions.

Interface design is a risk-control measure. Displays, alarms, controls and physical access must help users recognise exposure, prevent unsafe states, isolate energy and recover safely from errors.
Input
Feedback
Worker + Interface
Physical Controls
Safe Access
13
Step 6
Use Standards and Validate Before Building
6385ISO 6385
Work-system design
9241ISO 9241-210 / 110
Human-centred interaction
12100ISO 12100
Machinery risk reduction
11228ISO 11228 / 11226
Handling and posture
Review drawings, specifications and risk registers
Use mock-ups, prototypes and worker trials
Simulate reach, flow, exposure, maintenance and emergency tasks
Define acceptance criteria and close design issues before procurement
Standards provide design requirements; validation confirms the proposed system works for real users and real tasks.
Validation must cover more than usability. Verify guarding, isolation, ventilation, contaminant capture, noise, heat, lighting, manual handling, emergency access and maintenance under realistic operating conditions.
14
Case study
Manufacturing Assembly Cell
Parts Rack
Exhaust / Local Control
Operator Zone
Tooling
Assembly Bench
Identify ergonomic issues

Reach, posture, repetition, force, visibility and access.

Identify occupational hygiene issues

Dust, fumes, chemicals, noise, heat, airflow, biological agents and exposure pathways.

Identify safety issues

Machinery, energy isolation, vehicles, slips, falls, fire, access and emergency conditions.

Identify design improvements

Layout, automation, enclosure, ventilation and maintainability.

15
Integrated thinking
One design decision can improve multiple health outcomes.
Traditional
  • Manual handling
  • Dust
  • Heat
  • Noise
Integrated
  • One redesigned workplace
  • Reduced lifting and reach
  • Controlled emission source
  • Improved ventilation, heat and noise strategy
The aim is not four separate fixes. The aim is one better workplace design.
16
Group exercise
Design for Safety and Health Review

Teams receive a proposed workplace and complete the design review.

StepQuestions
Design goalsWhat outcomes and acceptance criteria must the design achieve?
User researchWho operates, cleans, maintains and supervises the system?
Function allocationWhat should people, machines and software each do?
Task analysisWhat happens during normal, abnormal and maintenance work?
DesignHow should the workplace and interfaces support safe performance?
StandardsWhich ISO, legal and technical requirements apply?
ValidationHow will the team demonstrate that the design works?
17
Discussion
Discussion
?What surprised you?
?Which step is most often overlooked?
?How early should health professionals become involved?
18
Key takeaways
Participants should remember
Set measurable design goals before solutions are selected.
Research real users, work contexts and non-routine tasks.
Allocate functions between people and technology deliberately.
Use task analysis, interface design, standards and validation to prevent risk at source.
19
Transition
Next Module
Digital Tools and AI as Enablers of Designing for Health

“We've established what should happen during design. Next, we'll explore the technologies that make it possible to predict, simulate and optimise workplace health before construction even begins.”

03
Module 3

Digital Technologies and AI as Enablers

From understanding AI to using technology responsibly in design, monitoring and future human–robot workplaces.

Purpose

Introduce AI and the available digital technologies, then examine how they support better health and safety design decisions, responsible human-in-the-loop use, future robot-enabled workplaces and built-in monitoring for continuous assurance.

Duration · 90 minutes
Theme · Design, Simulate, Monitor, Verify, Improve

Learning Objectives

  • Explain the main types of AI and digital technologies relevant to workplace health and safety design.
  • Describe how AI, computer vision, data analytics, sensors, modelling and digital twins can improve design-stage decisions.
  • Recognise the risks of over-reliance on AI and define human-in-the-loop controls.
  • Identify design requirements for future workplaces with AGVs, autonomous robots, cobots and human–robot collaboration.
  • Plan how sensor technology, CCTV analytics and monitoring systems can be built into the workplace to verify health and safety performance.

Key Message

Module 3 is not about technology for its own sake. It is about designing workplaces where AI, data, sensors, models, robots and competent people work together to prevent harm, verify performance and improve over time.

1What AI Is
2Available Technologies
3Better Design Decisions
4Responsible AI
5Robots & Cobots
6Monitoring by Design
Module 3 · Main Content Window

Digital Technologies and AI as Enablers of Designing for Health

01
Module 3 · Digital Technologies and AI
Designing Intelligent Workplaces for Health and Safety

What AI is, what technologies are available, and how they can be designed into healthier, safer workplaces.

Design · Simulate · Monitor · Verify · Improve
Sensors
AI
Robots
02
Framing AI
What do we mean by AI?

AI is a set of technologies that can interpret information, identify patterns, generate options and support decisions — but it must be governed, validated and kept accountable to human expertise.

AI can help with
  • Reviewing design information
  • Finding patterns in large datasets
  • Interpreting images, video and documents
  • Generating questions, options and checklists
  • Comparing scenarios and assumptions
AI cannot replace
  • Professional competence
  • Measurement and validation
  • Legal or technical accountability
  • Ethical judgement
  • Worker engagement and field understanding
Key message: AI supports judgement; it does not carry judgement.
03
AI capability and oversight
AI is more than ChatGPT — but autonomy must be designed
AI Autonomy Spectrum for Safety Professionals
Discussion: Which AI functions should be assistant-only, decision-support, or autonomous? What review and accountability should apply?
04
Available technologies
The technology landscape

Treat technology as an integrated design ecosystem, not a collection of gadgets.

01Generative AI

Prompts, reviews, summaries and design questions.

02Data Analytics

Patterns, trends, anomalies and predictions.

03Computer Vision

Posture, movement, interactions and visual hazards.

04Modelling

BIM, digital human models, CFD and simulations.

05Sensors & Robots

Continuous monitoring, AGVs, cobots and automation.

05
Design-stage value
How can AI and technology improve design?
1See the Work
2Compute Evidence
3Simulate Options
4Predict Risk
5Compare Controls
6Improve Design
7Verify Performance
Design intent: test more options earlier, before hazards become embedded in the workplace.
06
AI sees the work
Computer vision and CCTV analytics

Computer vision can extract information from photographs, video and CCTV streams to support design review and operational monitoring.

PostureReachCongestionBlind spotsPPERestricted zonesVehicle interactionEmergency routes
Design use: check whether a proposed layout creates repeated bending, poor sightlines or pedestrian-vehicle conflict.
07
AI computes the evidence
AI can connect data that is usually reviewed separately
D
Exposure Data
E
Environment
P
Production
M
Maintenance
W
Worker Feedback
Use AI to ask: what changed, what correlates, what is abnormal, what could fail, and what should we investigate next?
Possible design insights
  • Heat peaks during specific production states
  • Noise exposure linked to equipment operation
  • Contaminant readings linked to airflow conditions
  • Discomfort reports linked to workstation geometry
Validation warning
  • Poor data creates poor conclusions
  • Correlation is not causation
  • Sampling strategy still matters
  • Instrument calibration still matters
08
Test before building
BIM, simulation and digital twins

Digital models allow the design team to test workplace-health conditions before construction and then compare actual performance after commissioning.

BIM layoutDigital human modellingCFD airflowNoise modellingTraffic simulationDigital twin
Design use: compare ventilation arrangements, AGV routes, maintenance access, reach distances and control-room visibility before the facility is built.
09
Responsible use
Responsible AI: what can go wrong?
Technical risks
  • Fabricated information or references
  • Incorrect assumptions
  • Missed hazards
  • Overconfident language
  • False alarms or missed alarms
  • Poor-quality data
Organisational risks
  • Automation bias
  • Unclear accountability
  • Privacy and surveillance concerns
  • Cybersecurity exposure
  • Workers excluded from design decisions
  • Technology used to compensate for poor design
A fluent AI answer is not the same as verified evidence.
10
Human in the loop by design
Design the human role into the AI system
AI proposes
Professional verifies
Responsible person decides
System records and learns
1
Define authority

What can AI suggest, alert, control or never decide?

2
Define verification

What requires measurement, calculation, standard review or specialist approval?

3
Define response

Who acts when AI detects a risk, and how fast must the response occur?

11
Embodied AI and automation
Future workplaces will include more robots, AGVs and cobots

Designing for Health must consider intelligent physical systems, not only software AI.

AGVGuided Vehicles

Planned routes for material movement.

AMRMobile Robots

Dynamic navigation and mapping.

COCobots

Shared or adjacent work with people.

IRIndustrial Robots

Automated tasks, cells and guarding.

HRHumanoids

Emerging general-purpose mobile manipulators.

Design question: what new human role is created when the task is automated?
12
Designing human–robot work
Do not place robots into a workplace designed only for people.
  • Separate people and robot travel where practicable.
  • Design crossings, loading zones, charging areas and recovery access.
  • Make robot intention visible through lights, sound, displays or projected routes.
  • Consider maintenance, cleaning, faults and emergency shutdown.
  • Assess new ergonomic, exposure and psychosocial risks.
13
Design the monitoring system
Design the control and the means of verifying the control together
Built-in monitoring technology
  • Heat, humidity and air-quality sensors
  • Noise and vibration monitoring
  • Ventilation airflow and pressure sensors
  • CCTV analytics and computer vision
  • Wearables and smart PPE
  • Robot state and proximity monitoring
Design questions
  • What condition must remain safe?
  • Where should sensors or cameras be located?
  • What threshold triggers action?
  • Who receives the alert?
  • What response is required?
  • How are privacy and calibration managed?
The workplace should continuously demonstrate that it is operating as designed.
14
Continuous assurance
A closed-loop model for Designing for Health
1Design
2Simulate
3Automate
4Monitor
5Analyse
6Verify
7Improve
The digital model, AI analysis and monitoring data should feed back into design improvement throughout the workplace life cycle.
15
Group activity
Activity: design the intelligent health and safety system

Choose one proposed workplace: hotel kitchen, control room, laboratory or warehouse.

Task
Use AI to help identify design-stage health and safety risks, then design the monitoring, human-in-the-loop and future robot/cobot requirements.
1. Design decision

What health and safety decisions must be made early?

2. Technology selection

Which AI, sensors, computer vision, modelling or robotics technologies help?

3. Validation

What evidence, standards, measurements or professional checks are needed?

4. Governance

Who reviews, decides, responds and maintains the system?

16
Transition
Technology can support better decisions — but people still design the system.

Module 4 brings the disciplines, responsibilities and governance together into an integrated Designing for Health framework.

04
Module 4

Co-Creating the Framework

Putting the full workshop together into a practical Designing for Health system.

Purpose

Challenge participants to put the full workshop together by co-creating a practical framework that integrates disciplines, design decisions, digital tools, monitoring, human oversight and organisational accountability.

Duration · 45 minutes

Workshop output

Each group will develop a framework for how a project team should design, validate, monitor and improve a healthy workplace from concept design through operation.

IntegrateBring together work, worker, hazards, controls, AI, digital tools, monitoring and lifecycle operation.
Co-createAgree the framework, decision gates, evidence requirements and accountability as a multidisciplinary team.
GovernDefine how human-in-the-loop review, worker input, privacy and validation will be built into the process.
AdoptTranslate the co-created framework into one action that can be used in future projects.
Module 4 · Main Content Window

Co-Creating an Integrated Framework for Designing for Health

01
Module 4
Co-Creating an Integrated Framework for Designing for Health

Putting disciplines, design-stage controls, AI, monitoring technology and organisational accountability into one working process.

02
Our journey today
Now let’s put everything together.
Module 1WHY
Reframing the Disciplines

Ergonomics and occupational hygiene as interdependent.

Module 2HOW
Designing at the Source

Integrating health at the design stage.

Module 3TOOLS
Digital Technologies & AI

AI, sensors, models, robots and monitoring by design.

Module 4APPLY
Integrated Designing for Health

Co-creating the process, roles and decision gates.

Transition: “The tools are available. Now we need the framework for using them together.”
03
The challenge
Your team must design the system, not just the workplace

A new workplace is being planned. Your team has early access to designers, engineers, workers, AI tools, sensors, modelling platforms and automation options.

Your challenge

Co-create the framework that turns these inputs into accountable health and safety design decisions.

04
Group exercise brief
Each group becomes a framework design team

Your goal is not only to solve a case. Your goal is to define how a project team should work together from concept design to operation.

01Design intent

What health and safety outcomes must the workplace achieve?

02Multidisciplinary roles

Who must be involved, and when must they enter the project?

03Evidence and tools

Which AI, models, sensors and data sources support decisions?

04Human-in-the-loop

Which decisions require professional review and worker input?

05Monitoring by design

How will performance be verified during operation?

06Governance

Who owns decisions, validation, change management and follow-up?

05
Structured canvas
The Designing for Health Canvas
StepGuiding questions
WorkWhat work will be performed, by whom, and under what operating conditions?
Health goalsWhat ergonomic, exposure, psychosocial and safety outcomes must be achieved?
HazardsWhat foreseeable risks arise from the work, environment, equipment, automation and human–robot interaction?
Design controlsHow can hazards be eliminated or controlled at source through design?
Digital evidenceWhich AI, BIM, computer vision, modelling, digital twin or sensor data will inform the decision?
Human oversightWhich assumptions, AI outputs and trade-offs require competent review and worker participation?
MonitoringWhat sensor, CCTV, ventilation or system data will verify ongoing performance?
AccountabilityWho approves, maintains, validates, responds to alerts and manages future change?
06
Multidisciplinary thinking
Think like a design team
Health disciplines
  • Ergonomics
  • Occupational hygiene
  • Human factors
  • Worker wellbeing
Design and operations
  • Architecture and engineering
  • Facilities and maintenance
  • Operations and supervisors
  • Workers and representatives
Technology and data
  • AI and analytics
  • BIM and digital twins
  • Sensors and CCTV
  • Robots and cobots
Governance
  • Decision ownership
  • Standards and validation
  • Privacy and cybersecurity
  • Management of change
07
Group presentations
5minutes per group
Your framework title and purpose
Key design-stage health and safety goals
Roles, decision gates and responsibilities
How AI, sensors, models and robots are used
Human-in-the-loop validation and worker participation
Monitoring, alert response and continuous improvement
08
Facilitated discussion
Reflection

Use the group outputs to converge toward one shared Designing for Health framework.

Which framework elements appeared in most groups?
Which decisions need explicit approval gates?
Where must AI outputs be verified by competent people?
How should monitoring data trigger action after commissioning?
09
Complete framework
The Designing for Health Framework
1Set Health Goals
2Understand Work & Workers
3Identify Interacting Risks
4Design Controls at Source
5Use Digital Evidence
6Validate with Humans in the Loop
7Monitor, Learn & Improve
Co-create this as an iterative governance cycle: design decisions, evidence, approval, monitoring and improvement must stay connected.
10
Future workplace health professional
The future workplace health professional
01Ergonomics
02Occupational Hygiene
03Systems Thinking
04Engineering Collaboration
05Data Interpretation
06Digital Engineering
07Artificial Intelligence
08Communication
Key message: future practitioners will integrate disciplines, interpret data and influence design decisions.
11
Commitment
What is one thing you will do differently after today?
Commitment

I will…

Stop

I will stop…

Start

I will start…

12
Designing for Health
Final takeaways
Ergonomics and occupational hygiene are interdependent.
Prevention begins during design.
Digital tools, sensors and AI enable prediction, monitoring and continuous assurance.
Human-in-the-loop governance keeps technology accountable.
Designing for Health is a co-created system, not a single-person checklist.
13
Closing
Thank You
“The healthiest workplace is not the one with the best controls — it is the one where hazards were never designed in.”
Applied workshop materials

Activities and Resources

Use the case-study activities during the workshop and return to the resource library for templates, references and further reading.

Applied learning

Case Study / Activity

Module-based activities that help participants apply the Designing for Health approach to realistic workplace scenarios.

How to use this section

Select a module below. Each activity can be facilitated as an individual reflection, small-group discussion or structured design exercise.

Module 1 · Case Study 1

Manufacturing Line: Faster Output, Higher Exposure

Explore how production changes intended to increase output can intensify ergonomic, occupational hygiene and safety risks.

Illustration for Case Study 1 showing a manufacturing line with production and exposure hazards.
Case Study 1 visual: manufacturing line with productivity, exposure and safety trade-offs.

Scenario

A manufacturing company produces metal components using an automated cutting, grinding and inspection line.

Demand has increased, and management wants to improve production output by 20%. The line supervisor proposes several changes:

  • Reduce the distance between workstations.
  • Increase conveyor speed.
  • Position material containers closer to workers.
  • Remove short recovery pauses between production batches.
  • Keep machine access doors open during minor adjustments to reduce downtime.
  • Use portable fans to improve worker comfort in the production area.

Workers are responsible for:

  • Loading metal components onto the conveyor.
  • Removing finished parts.
  • Conducting visual inspections.
  • Grinding minor surface defects.
  • Clearing occasional machine jams.
  • Packing completed products.

During a typical shift, workers may experience:

  • Repetitive upper-limb movements.
  • Frequent reaching and twisting.
  • Prolonged standing.
  • Manual handling of component trays.
  • Noise from cutting and grinding equipment.
  • Metal dust and grinding particles.
  • Oil mist from machining processes.
  • Heat generated by equipment.
  • Contact with moving machinery during jam clearing.

Several workers report shoulder discomfort, fatigue and headaches. Production records also show that machine stoppages frequently occur when workers cannot keep pace with the conveyor.

The Design Conflict

The proposed changes may improve short-term production speed, but they could also increase:

  • Repetition and physical workload.
  • Noise exposure.
  • Airborne contaminant exposure.
  • Heat stress.
  • Contact with moving machinery.
  • Worker fatigue and error rates.

The portable fans may make workers feel cooler, but they may also spread metal dust and oil mist through the work area.

Keeping machine access doors open may reduce downtime, but it may compromise machine guarding, noise containment and contaminant control.

Group Task

Review the scenario as a multidisciplinary design team. Identify:

  1. The main ergonomic risks.
  2. The main occupational hygiene risks.
  3. The main safety risks.
  4. The work-design decisions creating these risks.
  5. Any conflict between production efficiency and worker health.
  6. Design changes that could improve both productivity and health.

Questions for Discussion

  • Is increasing conveyor speed the best way to improve production?
  • What happens when the work pace exceeds human capability?
  • Could workstation layout changes reduce both cycle time and awkward movement?
  • Could local exhaust ventilation control grinding dust without disrupting production?
  • How could machine guarding be designed to allow adjustment without exposing workers?
  • Could automation remove the most repetitive or hazardous tasks?
  • What production indicators should be considered alongside output?
Reveal suggested answers and facilitator guidance

Open this section after the group has completed its discussion and recorded its own design decisions.

Possible Integrated Design Improvements

  • Introduce adjustable workstation heights.
  • Redesign component presentation to reduce reaching and twisting.
  • Use smaller, lighter trays or mechanical handling aids.
  • Install properly designed local exhaust ventilation at grinding points.
  • Enclose noisy machinery where practicable.
  • Use interlocked access doors for machine adjustment and jam clearing.
  • Review conveyor speed using realistic human-capability data.
  • Introduce job rotation based on exposure and task demand, not simply production convenience.
  • Provide short planned recovery periods.
  • Use automated sensors to detect jams and reduce manual intervention.
  • Monitor production quality, fatigue, exposure and discomfort together.
Key Learning Point

A production system that depends on workers moving faster, reaching further or bypassing controls is not truly efficient.

Effective design should improve production flow while reducing physical demand, contaminant exposure and safety risk.

Module 1 · Case Study 2

Maintenance Workshop: Easier Access, Greater Risk

Examine why technicians bypass controls and how design can make the safe method the easiest method.

Illustration for Case Study 2 showing a maintenance workshop with access and exposure hazards.
Case Study 2 visual: maintenance workshop with access, manual handling and control-bypass issues.

Scenario

A maintenance workshop services pumps, motors, valves and mechanical equipment from different areas of an industrial facility.

The workshop is under pressure to reduce equipment turnaround time. Maintenance technicians frequently work on urgent repairs, and equipment arrives contaminated with oil, grease, dust, process residues and cleaning chemicals.

The current workshop layout includes:

  • A central workbench.
  • A welding and grinding area.
  • A parts-washing station.
  • A compressed-air cleaning point.
  • Tool cabinets positioned around the workshop.
  • A mobile lifting hoist.
  • Temporary storage areas for dismantled equipment.

To improve efficiency, technicians have developed several informal work practices:

  • Heavy equipment is placed directly on the floor when the workbench is occupied.
  • Technicians kneel or bend over equipment during dismantling.
  • Compressed air is used to remove dust from parts and clothing.
  • Solvent containers are left open for quick access.
  • Grinding and welding are conducted near other maintenance activities.
  • The mobile hoist is sometimes not used because moving it into position takes time.
  • Extraction arms are moved away because they restrict access to the workpiece.
  • Hearing protection is removed during troubleshooting so technicians can hear changes in machine sound.
  • Gloves are occasionally removed to improve grip and dexterity.

One technician suffers a lower-back strain while lifting a motor housing. Another reports skin irritation after cleaning parts with solvent. Workers also complain about welding fumes, grinding dust, high noise levels and poor ventilation.

The Design Conflict

Several unsafe practices are intended to make work faster or easier. Examples include:

  • Removing gloves to improve dexterity.
  • Moving extraction systems to improve access.
  • Avoiding lifting aids to save time.
  • Removing hearing protection to diagnose equipment.
  • Using compressed air for rapid cleaning.
  • Leaving solvent containers open for convenience.

These practices may improve immediate task performance but increase exposure to manual handling injuries, welding fumes, metal dust, solvent vapours, skin contact with chemicals, noise, flying particles, fire hazards and unexpected equipment movement.

Group Task

Review the scenario as a multidisciplinary design team. Identify:

  1. The ergonomic risks.
  2. The occupational hygiene risks.
  3. The safety risks.
  4. The reasons workers bypass existing controls.
  5. The conflict between task effectiveness and health protection.
  6. Design changes that would make the safe method the easiest method.

Questions for Discussion

  • Why are technicians avoiding the lifting hoist?
  • Is the extraction system positioned to support the task or obstruct it?
  • Can workers diagnose equipment without removing hearing protection?
  • Is the workbench suitable for equipment of different sizes and weights?
  • Could tools and parts be arranged to reduce repeated bending and walking?
  • What is the risk of using compressed air for cleaning?
  • How could chemical handling be redesigned to reduce open-container use?
  • Are current controls compatible with the precision and dexterity required?
Reveal suggested answers and facilitator guidance

Open this section after the group has completed its discussion and recorded its own design decisions.

Possible Integrated Design Improvements

  • Install height-adjustable maintenance benches.
  • Provide low-profile lift tables and easily accessible hoists.
  • Redesign the workshop so lifting aids can reach all work areas.
  • Use flexible extraction systems that can be positioned without blocking access.
  • Separate welding and grinding from general maintenance activities.
  • Provide enclosed parts-washing systems.
  • Replace open solvent containers with controlled dispensing systems.
  • Provide suitable low-noise cleaning methods or industrial vacuum systems.
  • Use task-compatible gloves with appropriate grip and dexterity.
  • Introduce communication headsets or level-dependent hearing protection.
  • Position tools and commonly used components within easy reach.
  • Provide dedicated equipment stands to avoid floor-level work.
  • Improve housekeeping and temporary storage arrangements.
  • Include technicians in the redesign of workshop controls.
Key Learning Point

Workers often bypass controls when those controls interfere with the task.

The solution is not only to remind workers to follow procedures. The work system must be designed so that safe, healthy work is also practical, efficient and effective.

Module 2 · Case Study 1

Proposed Hotel Production Kitchen

Design a new high-volume hotel kitchen that supports safe food production, healthy work, efficient service and effective exposure control.

Project Scenario

A new 450-room business hotel is being designed. Its central production kitchen will support an all-day dining restaurant, banquet operations, room service, a bakery and staff meals.

The proposed kitchen will include:

  • Receiving and dry, chilled and frozen storage.
  • Vegetable, raw-meat and seafood preparation areas.
  • Hot cooking lines with ranges, ovens, fryers and steam equipment.
  • Bakery and pastry production.
  • Cold preparation and plating areas.
  • Dishwashing, pot washing and waste handling.
  • Banquet holding, trolley staging and dispatch.
  • Chemical storage, staff changing and rest areas.

Management wants rapid service, high banquet capacity, strict food hygiene, flexible staffing and a compact footprint. The design is still conceptual, so layout, equipment, ventilation, workflow and staffing assumptions can be changed.

Integrated Design Challenge

The team must avoid designing only for food flow and productivity. The proposed kitchen must also control:

  • Burns, cuts, slips, electrical hazards and interaction with hot or moving equipment.
  • Heat stress, cooking fumes, combustion products, cleaning chemicals, noise and biological hazards.
  • Heavy lifting, pushing loaded trolleys, repetitive preparation, prolonged standing and awkward reaches.
  • Cross-contamination, allergen control and separation of raw and ready-to-eat food.
  • Emergency egress, fire suppression, gas isolation, maintenance access and safe cleaning.
  • Peak-period workload, communication failures, fatigue and foreseeable shortcuts.

Group Design Task

Act as the client, chef, kitchen planner, engineer, ergonomist, occupational hygienist, safety professional, facilities representative and worker representative. Develop a concept-stage Design for Health and Safety brief.

  1. Define measurable design goals.
  2. Identify users, workforce characteristics and peak operating conditions.
  3. Map food, people, trolley, waste and equipment-maintenance flows.
  4. Allocate functions between people, equipment, automation, sensors and contractors.
  5. Analyse normal, peak, cleaning, maintenance, breakdown and emergency tasks.
  6. Identify safety, ergonomic, occupational hygiene and food-hygiene hazards.
  7. Select relevant standards and local regulatory requirements.
  8. Specify how the design will be tested before handover.

Design Goals to Discuss

  • Safe separation of raw, cooked, clean and dirty workflows.
  • Acceptable thermal conditions and effective capture of cooking emissions.
  • Work heights, reaches and storage suitable for a diverse workforce.
  • Reduced lifting, carrying and trolley forces.
  • Safe cleaning without excessive chemical, slip or manual-handling risk.
  • Maintainable equipment with accessible isolation and extraction systems.
  • Interfaces, alarms and controls that are visible, understandable and usable during peak service.
  • Production capacity that does not depend on unsafe pace, overcrowding or control bypass.

Function Allocation Questions

  • Which food preparation and handling tasks should remain manual, be mechanically assisted or be automated?
  • Should heavy pots, ingredient containers and banquet loads use hoists, tilters, lift tables or powered trolleys?
  • Which temperatures, gas conditions, ventilation faults and refrigeration failures require automatic monitoring and alarms?
  • Which cleaning functions can be enclosed, dosed automatically or designed as clean-in-place?
  • What tasks require human judgement, and what information must the interface provide?
  • Who performs filter cleaning, grease removal, equipment isolation and breakdown maintenance?

Task Analysis

Select at least five tasks and analyse the sequence, users, posture, forces, tools, exposures, error opportunities and controls:

  • Receiving and storing bulk ingredients.
  • Preparing food during peak production.
  • Operating fryers, ovens or steam equipment.
  • Moving loaded banquet trolleys.
  • Pot washing and chemical dosing.
  • Cleaning extraction hoods and grease filters.
  • Clearing blocked drains or waste systems.
  • Responding to gas leaks, fires, refrigeration failure or ventilation failure.
  • Maintaining equipment without contaminating food areas.
Reveal suggested answers and facilitator guidance

Open this section after the group has completed its discussion and recorded its own design decisions.

Standards and References to Consider

  • ISO 6385 — ergonomics principles in the design of work systems.
  • ISO 11228 series — lifting, carrying, pushing and pulling.
  • ISO 11226 — evaluation of static working postures.
  • ISO 22000 — food safety management systems.
  • ISO 14159 — hygiene requirements for the design of machinery.
  • ISO 45001 — occupational health and safety management systems.
  • Applicable building, fire, gas, electrical, ventilation, drainage, accessibility and food-premises requirements.
  • Local exposure limits and guidance for heat, noise, chemicals and ventilation.

Validation Plan

  • Full-scale or digital kitchen-layout walkthrough with chefs, cleaners and maintenance staff.
  • Reach, work-height, trolley-force and manual-handling trials.
  • Ventilation and hood-capture assessment under representative cooking loads.
  • Heat, noise, lighting and air-quality predictions and commissioning tests.
  • Food-flow, allergen and cross-contamination review.
  • Cleaning, maintenance, emergency and evacuation simulations.
Required Team Output

Present five design goals, a functional zoning plan, a function-allocation table, five task analyses, the main integrated hazards, applicable standards and a validation plan.

The kitchen should be designed so that safe food production, healthy work and efficient service support one another.

Module 2 · Case Study 2

Proposed 24-Hour Operations Control Room

Design a control room that supports reliable decisions, manageable workload, healthy shift work and safe response to abnormal events.

Project Scenario

An industrial organisation is designing a new central control room for a large utilities and process facility. The room will operate continuously and will supervise production, energy systems, fire and gas alarms, security systems and emergency communications.

The proposed facility will include:

  • Six primary operator workstations and two supervisor positions.
  • A large shared overview display.
  • Alarm, process-control, CCTV and communication interfaces.
  • A crisis-management room and technical support area.
  • Shift handover, briefing and training spaces.
  • Rest, refreshment and welfare facilities.
  • Emergency power and redundant communication systems.

Management wants fewer operators, greater automation, centralised monitoring and rapid response. The design team proposes extensive display walls and open-plan collaboration, but user research and task analysis have not yet been completed.

Integrated Design Challenge

The team must not focus only on screens and furniture. The control room must address:

  • Alarm overload, attention demands, decision complexity and automation complacency.
  • Long-duration sitting, constrained posture, visual fatigue and repetitive interaction.
  • Shift work, circadian disruption, fatigue, stress and inadequate recovery.
  • Noise, lighting, glare, thermal comfort and indoor-air quality.
  • Communication breakdown, unclear authority and poor function allocation.
  • Emergency access, fire safety, backup power and control-room habitability during incidents.
  • Maintenance of displays, consoles, HVAC and communication systems without disrupting operations.
  • Foreseeable workarounds, muted alarms, unofficial displays and interface customisation.

Group Design Task

Act as operators, supervisors, control engineers, UX/interface designers, ergonomists, occupational hygienists, safety professionals, facilities engineers and emergency planners.

  1. Define measurable operational, human-performance, health and safety goals.
  2. Conduct user and context-of-use research for day, night, normal and emergency operations.
  3. Allocate functions between operators, automation, decision-support systems and external teams.
  4. Analyse monitoring, diagnosis, communication, intervention, handover and emergency tasks.
  5. Identify cognitive, ergonomic, occupational hygiene, organisational and safety hazards.
  6. Develop workstation, room-layout, lighting, acoustic and environmental requirements.
  7. Select relevant standards.
  8. Define verification and validation activities.

Design Goals to Discuss

  • Operators can detect, understand and prioritise abnormal conditions quickly.
  • Critical information is visible without excessive scanning, navigation or memory demand.
  • Alarm rates and priorities remain manageable during disturbances.
  • Workstations accommodate different body sizes, postures and visual needs.
  • Lighting supports screen work, communication and emergency tasks without glare.
  • Noise, temperature, ventilation and air quality support sustained concentration.
  • Shift schedules, rest facilities and staffing support fatigue management.
  • Role allocation and authority remain clear during normal and emergency operations.

Function Allocation Questions

  • Which conditions should automation control, recommend, alarm or leave to human judgement?
  • Who confirms automated actions and manages degraded or failed automation?
  • Which information belongs on individual displays, the shared overview display or mobile devices?
  • How should CCTV, alarms, process trends and communications be integrated without overload?
  • Which tasks require one operator, collaboration or supervisor authorisation?
  • How will the system support handover, training, maintenance and emergency command?

Task Analysis

Select at least five tasks and analyse information needs, cognitive demand, physical interaction, communication, error potential and environmental requirements:

  • Routine process monitoring.
  • Responding to multiple simultaneous alarms.
  • Diagnosing a developing process upset.
  • Coordinating field personnel and contractors.
  • Shift handover and briefing.
  • Managing loss of power, displays or communications.
  • Emergency shutdown and evacuation support.
  • Night-shift monitoring during low activity.
  • Maintaining or replacing a workstation while operations continue.
Reveal suggested answers and facilitator guidance

Open this section after the group has completed its discussion and recorded its own design decisions.

Standards and References to Consider

  • ISO 11064 series — ergonomic design of control centres, including principles, layout, workstations, displays and environmental requirements.
  • ISO 6385 — integrated design of work systems.
  • ISO 9241-210 — human-centred design for interactive systems.
  • ISO 9241-110 — interaction principles.
  • ISO 9241-5 — workstation layout and postural requirements.
  • ISO 45001 — occupational health and safety management systems.
  • Applicable alarm-management, electrical, fire, emergency-power, cybersecurity, accessibility and building requirements.
  • Local guidance for fatigue, shift work, lighting, thermal comfort, noise and indoor-air quality.

Validation Plan

  • User research, interviews and observation of existing operators.
  • Scenario-based simulation of routine, abnormal and emergency operations.
  • Prototype testing of displays, alarms, navigation and handover tools.
  • Full-scale console and room-layout mock-up with representative users.
  • Assessment of sightlines, reach, posture, glare, acoustics and communication.
  • Night-shift and extended-duration trials.
  • Verification of backup power, emergency communication and degraded-mode operation.
Required Team Output

Present five design goals, a user-research plan, a function-allocation matrix, five task analyses, interface and environmental requirements, relevant standards and a validation plan.

A control room is a complete socio-technical work system—not simply a room containing screens.

Module 3 · Reference Toolkit

AI, Digital Design, Monitoring and Robotics Technologies

This module does not use a separate case study. This toolkit consolidates the main technologies participants may consider when designing intelligent workplaces for health and safety.

AI AssistantsComputer VisionDigital TwinsSensorsRoboticsHuman Oversight

How to use this toolkit

Select technology because it supports a defined design decision, health or safety objective, verification need or operational response—not because it is fashionable.

  1. Define the hazard, worker and design decision.
  2. Identify the data or model required.
  3. Select a suitable technology category and tool.
  4. Define professional validation and human approval.
  5. Design the monitoring, alert, maintenance and improvement loop.

Important qualification

Products and capabilities change quickly. The examples below are representative, not endorsements. Organisations must review current functionality, data security, privacy, cybersecurity, integration, licensing and regulatory requirements before deployment.

1. General-purpose generative AI assistants

Useful for early design review, document analysis, structured questioning, option generation, meeting preparation and drafting—not final technical approval.

  • ChatGPT ↗Multimodal assistant for text, images, files, research and data analysis. Potential use: review layouts, analyse monitoring datasets, structure risk registers and challenge assumptions.
  • Claude ↗Strong document, visual and long-context analysis. Potential use: review design reports, procedures, specifications and multidisciplinary evidence.
  • Google Gemini ↗Multimodal assistant integrated with the Google ecosystem. Potential use: analyse files and images, research design issues and support collaborative work.
  • Microsoft 365 Copilot ↗AI embedded in Word, Excel, PowerPoint, Outlook and Teams. Potential use: analyse project data, summarise design meetings and prepare decision records.
  • Perplexity ↗AI-assisted web research and source discovery. Potential use: preliminary standards, technology and evidence searches that must be checked against authoritative sources.
  • NotebookLM ↗Source-grounded analysis of uploaded project material. Potential use: interrogate design specifications, reports, standards extracts and consultation records.
2. Data analytics, coding and decision support

Tools for cleaning, combining, visualising and modelling exposure, environmental, production, maintenance and incident data.

  • Microsoft Power BI ↗Dashboards, trend analysis and operational monitoring; can combine sensor, exposure and business data.
  • Tableau ↗Interactive visual analytics for identifying patterns, hotspots and changes over time.
  • Databricks ↗Large-scale data engineering, machine learning and AI workflows for complex organisational datasets.
  • MATLAB ↗Engineering analysis, signal processing, modelling and algorithm development.
  • Jupyter ↗Open computational notebooks for transparent analysis of exposure and sensor data.
  • GitHub Copilot ↗AI coding support for creating analysis scripts, dashboards and integrations; generated code requires review and testing.
3. Computer vision and CCTV analytics

Potential applications include posture screening, movement analysis, vehicle–pedestrian interaction, restricted-zone monitoring, congestion and abnormal-event detection.

  • OpenCV ↗Open-source computer-vision foundation for custom image and video analysis.
  • NVIDIA Metropolis ↗Video analytics and visual AI platform for cameras, edge systems and operational environments.
  • NVIDIA DeepStream ↗Real-time streaming analytics for multiple video and sensor feeds.
  • Azure AI Vision ↗Cloud vision services for image analysis and custom visual applications.
  • Amazon Rekognition ↗Image and video analysis services for selected detection and monitoring workflows.
  • Specialist ergonomic vision systemsCommercial and custom systems may use pose estimation to screen posture, reach and repetition. Results remain sensitive to camera placement, occlusion, lighting and task context.
4. BIM, 3D coordination and design review

Used to coordinate geometry, services, access, work areas, maintenance space and health requirements before construction.

  • Autodesk Revit ↗BIM authoring for buildings, systems and coordinated design information.
  • Autodesk Navisworks ↗Model coordination, clash review, construction sequencing and design review.
  • Bentley iTwin Platform ↗Infrastructure digital-twin and engineering-data integration.
  • Tekla ↗Detailed structural and constructability modelling relevant to access and installation planning.
  • Blender ↗Open-source 3D modelling and visualisation for concepts, communication and training simulations.
5. Digital human modelling and biomechanics

Supports reach, clearance, visibility, posture, manual handling, task sequencing and accommodation of different body sizes.

6. CFD, thermal, acoustic and physical modelling

Used to test airflow, contaminant transport, heat, pressure, noise and control performance before installation.

  • Ansys Fluent ↗High-fidelity CFD for airflow, heat transfer and contaminant-dispersion studies.
  • OpenFOAM ↗Open-source CFD platform for specialist modelling workflows.
  • SimScale ↗Cloud engineering simulation covering fluids, thermal, structural and selected acoustic applications.
  • COMSOL Multiphysics ↗Coupled modelling where heat, airflow, structures, acoustics or other physics interact.
  • ODEON ↗Room-acoustic modelling relevant to control rooms, workplaces and noise-control design.
7. Digital twins and industrial simulation

Connects geometry, asset information, sensors, cameras, operating data and simulation to monitor and improve the workplace throughout its life.

8. Environmental and occupational hygiene sensors

Sensor selection should follow the hazard, exposure pathway, required accuracy and intended decision.

  • Air contaminantsDirect-reading particulate, VOC, gas and aerosol instruments; fixed detection and personal monitoring.
  • Heat and thermal environmentTemperature, humidity, radiant heat, air velocity and heat-stress monitoring.
  • Noise and vibrationArea sound-level monitoring, personal dosimetry, vibration and equipment-condition sensing.
  • Ventilation performanceAirflow, duct pressure, differential pressure, fan status, filter loading and room-pressure relationships.
  • Lighting and radiationIlluminance, UV, ionising-radiation and other application-specific detectors.
  • Indoor-environment networksConnected CO₂, particulate, temperature, humidity and occupancy sensors for trend-based building operation.
9. Wearables, smart PPE and worker-centred sensing

Potentially useful for exposure, location, posture, physiological strain and emergency response, with strong privacy and worker-participation requirements.

  • Wearable exposure monitorsPersonal gas, particulate, noise and heat monitoring with real-time alerts.
  • Motion and posture sensorsIMUs and wearable motion systems for repetition, posture and physical-demand assessment.
  • Physiological monitoringHeart rate, skin temperature and other indicators used cautiously for heat-strain or fatigue support.
  • Location and proximityUWB, Bluetooth, RFID, GNSS and proximity tags for traffic interaction, lone work and emergency accountability.
  • Smart PPEConnected helmets, hearing protection, gas detectors, garments and emergency devices.
  • Ethical requirementDefine purpose, access, retention, consent, worker involvement and prohibition of inappropriate performance surveillance.
10. Edge AI, IoT and monitoring infrastructure

Provides the communications, local processing and response layer that connects sensors, cameras, controls and dashboards.

  • NVIDIA Jetson ↗Edge computing for real-time visual AI, robotics and sensor analysis.
  • Azure IoT Operations ↗Industrial edge and cloud connectivity for operational data.
  • AWS IoT Core ↗Managed connectivity for devices, sensors and cloud applications.
  • Grafana ↗Real-time dashboards and alerting across sensor and operational data sources.
  • Industrial protocols and platformsOPC UA, MQTT, building-management systems, SCADA and historian platforms may carry health and safety performance data.
11. AGVs, AMRs, robots, cobots and humanoids

Automation should be considered during concept design because it affects space, traffic, utilities, maintenance, work organisation and human roles.

  • AGVsGuided material movement requiring routes, crossings, loading points, charging and emergency access.
  • AMRsDynamic navigation requiring mapping, sensor coverage, traffic rules and safe interaction with people.
  • Industrial robotsRobot cells, guarding, interlocks, tooling, access and non-routine intervention design.
  • CobotsCollaborative applications requiring assessment of the complete robot, end effector, workpiece, speed, force and task.
  • Humanoid robotsEmerging mobile manipulators that may use human-designed spaces, creating new fall, motion, control and recovery considerations.
  • NVIDIA Isaac ↗Robotics development and simulation ecosystem relevant to autonomous systems and physical AI.
12. Safety systems, governance and human-in-the-loop controls

Every intelligent system requires defined authority, fail-safe behaviour, verification, records and accountable human intervention.

  • Safety sensingSafety laser scanners, light curtains, interlocks, pressure-sensitive devices, emergency stops and safety-rated controls.
  • Human-machine interfacesClear displays of system state, robot intention, alarms, uncertainty and required action.
  • AI governanceApproved use cases, data controls, model evaluation, change management, audit trails and incident response.
  • Human decision gatesAI proposes; competent professionals verify; authorised persons decide; the system records and learns.
  • NIST AI Risk Management Framework ↗Structured guidance for governing, mapping, measuring and managing AI risks.
  • Core ruleMonitoring technology and AI must reinforce effective design controls—not become substitutes for elimination, separation, engineering control or competent supervision.
Module 3 application prompt

For any proposed workplace, identify: (1) the design decision, (2) suitable digital or AI tools, (3) required data, (4) validation and human decision points, (5) built-in monitoring, and (6) how results feed back into continuous improvement.

Module 4 Co-Creation Challenge

Theme: Put everything together and co-create one shared Designing for Health framework.

Challenge

Work as one multidisciplinary class. A nominated recorder captures the discussion on the shared digital whiteboard while the facilitator helps the class connect health goals, ergonomics, occupational hygiene, AI, sensors, robots, human oversight, monitoring and accountability from concept design through operation.

Participant task

  1. Define the work, worker and operating environment.
  2. Identify interacting health and safety risks.
  3. Develop integrated design controls.
  4. Select digital tools, monitoring and validation methods.
  5. Assign human decision points and responsibilities.
  6. Agree the final class framework and present it together.
Output: one shared class whiteboard and one facilitator presentation view.
Saved locally

Class Designing for Health Canvas

Capture the class discussion as short, specific and agreed design decisions.

Shared Board

Class Framework · Presentation View

Present the completed Designing for Health framework without editing controls.

Facilitator
Current embedded mode: entries autosave in this browser and synchronise between tabs on the same device. For participants editing from separate phones or laptops, connect this interface to a realtime database when it is deployed on Netlify.