Consequence-weighted, not just exposure-weighted.

Most ergonomic scoring systems answer how exposed a body region is during a task: how much load, twist, reach, repetition. The Consequential Risk Score is engineered to answer a different question — how consequential is that exposure if it persists.

The premise

The risk is multi-factorial. So is the score.

A work-related musculoskeletal disorder (WMSD) is rarely caused by one thing. It emerges from how load, posture, repetition, duration and force combine and accumulate — against the recovery the worker gets, the environment and PPE around them, and how the work is organised. A score that measures one axis in isolation misreads a problem made of many.

Two tasks with similar biomechanical profiles can produce very different outcomes if one is far more likely to result in a costly, slow-to-recover injury. A repeated overhead reach in a low-PPE warehouse is not the same hazard as a repeated overhead reach under heavy PPE in a confined-space utility job, even when the body angles look alike on the sensor trace.

So when you're looking at 50 assessed tasks, you can say with confidence: this one first.

What goes in

Three streams of input.

Biomechanical exposure

Captured by the five inertial measurement unit (IMU) sensor kit during the task: angles, velocities, durations, repetitions, sustained postures, and segment-level exposure to recognised risk patterns. Exposure duration is measured across the capture window rather than estimated from observation.

Task context

Entered by the assessor, because the sensors do not observe it: load, grip, shift duration, perceived effort, PPE and environmental conditions. The fields are structured so a trained assessor — not necessarily an ergonomist — can complete them reliably.

Consequence weighting

Applied by the methodology: raw exposure is weighted by injury severity, recovery pathway and claims-cost data, drawn from clinical and insurer-side evidence about what kinds of exposure produce what kinds of injury, how they recover, and what they cost.

The output is a single headline number, broken down by body region and dominant exposure factor, with the contributing factors listed in a shape an engineering review can work from. Exposure is measured by the sensors rather than estimated by eye, and consequence weighting comes from the methodology rather than judgement on the day — so the assessor's influence is limited to the task context they enter.

Scope

What the score is, and what it isn't.

It is

A consequence-weighted measure of musculoskeletal disorder (MSD) injury risk for a specific task, in a specific context, performed as the worker normally performs it.
A triage instrument — scores compare across tasks, so you can see which one to address first.
A decision input — the body-region breakdown and dominant-factor analysis point to the lever most likely to move the score.
A validation instrument — a re-assessment after a control produces a directly comparable post-score.
A defensible record — every input variable that produced the score is stored and available to you, your insurer, your regulator and any reviewing ergonomist.

It is not

A medical diagnosis. It does not predict that an individual worker will be injured; it is a population-level risk signal, not an individual-level prognosis.
A determination of fault or causation in an injury that has already occurred. Other clinical and forensic methods are appropriate for that.
A direct substitute for the Revised NIOSH Lifting Equation, which is methodologically distinct and not directly comparable.
A behavioural-coaching tool for the worker. The hierarchy of risk controls puts behaviour change at the bottom for a reason, and the score is engineered to point higher up it.

Standards

Where it sits against the methods you already use.

The score is built to sit alongside established methods, not to replace them, and we state its limitations openly so you can see exactly where it fits.

Methodology aligned with Safe Work Australia hazardous manual task guidance, ISO 31000, and ISO 11228-1, and with REBA, RULA, MAC (HSE INDG383), ART (HSE INDG438), RAPP (HSE INDG478), and HSE Upper Limb Disorders guidance (HSG60). Lower-limb postures within REBA are not yet covered by the sensor configuration. The Revised NIOSH Lifting Equation is methodologically distinct and not directly comparable.

Validation

What it has been checked against.

Initial industry-based pilot validity testing was conducted in the mining sector, comparing the automated output against expert human assessors on the same task and the same video. The key trial results are documented in the ACARP Final Report (2018).

150 initial in-field risk assessments, across two industries, were validity-checked by an ergonomist and a physiotherapist — for the veracity of postures and actions, and for correct category and threshold attribution.

JointAction's validation study compared Etiscope's sensor-based risk scores with 150 assessments by 25 ergonomics and human-factors professionals across 75 recorded work tasks. Etiscope agreed with individual professionals about as well as the professionals agreed with each other, and agreed more closely with the average of two professionals than with either one.

This is agreement, not accuracy: observational risk assessment has no ground truth, and every agreement level in the study was modest. Even trained professionals assessing the same task often disagree, and agreement was lowest at the neck. The study tested the five-sensor capture only, and its manuscript is in preparation.

Research and methodological extension continue with the University of Waterloo's Centre of Research Expertise for the Prevention of Musculoskeletal Disorders (CRE-MSD) and with Cranfield University.