Etiscope · the platform
The intelligence layer behind serious WMSD prevention.
Etiscope turns objective assessment evidence into the intelligence your work-related musculoskeletal disorder (WMSD) prevention program runs on — task insights, the task demands library, return-to-work matching, the risk universe, validation evidence, longitudinal reporting and Etiscope AI.
The risk universe and the program overview · illustrative sample data. Click to expand.
The heart of Etiscope
Evidence, process, intelligence.
Evidence
Objective, sensor-derived data captured in the actual workplace, in the actual conditions. You record it with Etiscope Capture and the five-IMU sensor kit, in around 10 minutes per assessment.
Process
The Assess → Control → Validate → Track cycle and the Consequential Risk Score, with a methodology aligned with Safe Work Australia hazardous manual task guidance, ISO 31000, and ISO 11228-1.
Intelligence
Where Etiscope turns evidence and process into outcomes you can act on — task insights, the library, return-to-work matching, the risk universe, validation, longitudinal reporting and Etiscope AI.
What Etiscope produces
Everything your evidence becomes.
Each of these draws on the same assessment evidence, so together they give you the whole picture rather than a single report.
Task demands library
A documented profile of the physical demands of every important role in the organisation.
Return-to-work matching
Certificate restrictions checked against per-task demands, giving you a suitable-duties plan agreed with the worker for their treating practitioner to endorse. Return-to-work matching against documented role demands is delivered today as an engagement built on your task demands library; the RTW Matchmaker module is in development.
The risk universe
Portfolio-level visualisation of risk across every site, shift and role.
Validation evidence
Pre and post scoring of the same task, same protocol, side by side.
Task & job insights
What the data implies about specific tasks and aggregated roles.
Procurement evaluation
Pre-purchase testing of equipment, vehicles and tools against existing demand profiles.
Safe-design input
Layout, workflow and engineering-control decisions informed by exposure data.
Longitudinal reporting
Time-series evidence of risk distribution and control effectiveness.
Etiscope AI
Natural-language reporting, decision support and exposure forecasting, from the AI capability inside Etiscope.
Why a connected approach
A multi-factorial risk needs a connected answer.
MSD risk is multi-factorial: it emerges from how load, posture, repetition, duration and force combine and accumulate — against the worker’s recovery, the environment and PPE, and how the work is organised. A program that chases a single factor leaves the rest compounding. Etiscope connects the whole prevention lifecycle — assess, control, validate, track, return-to-work matching, role demands, the longitudinal record — rather than handing over one number.
The compounding pay-off
Your evidence grows more valuable over time.
A single assessment is useful. A library across your whole organisation becomes the evidence base for your entire prevention and injury-management system — and it's yours, growing richer the longer your program runs.
Architecture
How the pieces fit together.
Program intelligence
Etiscope
- Task and job insights
- Task demands library
- Functional Demand Statements
- The risk universe
- Longitudinal program reporting
Etiscope AI — the AI capability inside Etiscope, working on the same evidence.
Field capture · inside Etiscope
Etiscope Capture
Five IMU sensors, the iPad and iPhone app and the Consequential Risk Score — physical and manual-handling work, assessed where it happens.
A separate product
MoveTime
For sedentary and desk-based work. A desktop application with organisation and site licences. It is not part of Etiscope and is licensed separately.