Fatigue Risk Software: Modelling, Monitoring and Review

Fatigue risk products that meet the rule

Ordered by how closely our sources document this process, not by quality. Sponsored placements are labelled. How lists are ordered

Same rule for every product: tagged “Fatigue Risk”, “Occupational Health”, “Driver Safety”, “Fleet Safety” or “Industrial Safety”, with a sourced fatigue modelling or monitoring capability in its record, or one the vendor stated to us, labelled as vendor-stated. 2 qualify.

• Optalert Eagle

  Documented: Minute-by-minute Johns Drowsiness Scale. Source: optalert.com

• Samsara

  Documented: AI dash cam detection and in-cab coaching. Source: samsara.com

Separate prediction, observation and operational decisions

Roster-based predictions, sleep-history inputs, self-reports and direct monitoring are different sources of information. Ask which are used by the proposed application and what happens when data is missing or inaccurate.

A model output is not a diagnosis, a certification of fitness for duty or a guarantee that an incident will be prevented. Define how qualified people interpret results within the organisation's fatigue-management process.

Evaluate a representative roster

Reading the list, and a worked roster example

At present the rule admits 2 products: 2 on documented scope, 0 on conditional scope and 0 on a vendor statement that no public page has confirmed. The count measures how much has been documented for this work. A short list is plausible, because modelling fatigue is a specialist function and a general safety platform does not necessarily include it. Admission shows that a record names a fatigue function with a source; it does not show how well the model is validated for your industry.

Separate three jobs that are sold under one name. Checking a roster against fixed limits, such as a minimum rest period between shifts or a cap on consecutive nights, is arithmetic and any scheduling tool can do it. Predicting fatigue-related risk from a pattern of work and rest uses a model whose assumptions you should be able to read. Monitoring a person, for example by camera or wearable, observes one individual at one time and raises privacy and consent questions that a roster tool does not. A purchase that blurs these tends to disappoint on whichever job mattered most.

A hypothetical roster shows what a check can and cannot say. A crew works four 12-hour night shifts, finishing at 06:00, then has four days off. A supervisor adds an overtime shift that starts at 14:00 on the day the last night shift ends. The gap between finishing and starting is 8 hours, which is below the 11 consecutive hours of daily rest that many working-time rules require, so a limit check flags it. A roster with no such breach can still be risky, for example a fifth night in a row, or 48 hours worked in the preceding four days, and the limit check will not say so. A model may flag both, but its output is an estimate that depends on inputs such as sleep opportunity and commute time that are often missing.

Common failure modes in fatigue tools

Questions to put to each vendor in writing

Which model or rule set is used, which version, and which published validation covers the shift patterns you work? Which inputs are required, which are optional and what does the output say when one is absent? Who can see an individual's data, how long is it retained and where is it stored, and has the vendor stated how it handles health-related information in your jurisdiction? Does an alert reach the person who can change the roster, and can you export the roster, the inputs and the output for a given date? Ask for each answer in writing and tie it to the quoted package.

Request a complete commercial proposal

Itemize application modules, worker or roster allowances, devices, interfaces, setup, training and continuing support. Confirm currency, billing term and renewal conditions rather than converting a package quote into a supposed per-user monthly price.

Evaluate administrative effort and demonstrated workflow fit. Do not calculate guaranteed avoided incidents or make employment decisions solely from a software score.