What Pre-Employment Medical Data Reveals About Workforce Injury Risk  

Between the employment offer and onboarding sits a step that may at times be downplayed as being purely for compliance purposes. But the data collected during the pre-employment medical stage can tell a story worth reading. Throughout the assessment process, patterns emerge that, when carefully analysed, can inform how roles are structured, how tasks are allocated and where pre-emptive risk controls are likely to be most impactful. 

Exploring what those patterns reveal helps to understand them more deeply which, in turn, can shift pre-employment data from a record-keeping exercise into a genuine workforce planning tool. 

The injury picture in Australian workplaces 

Before looking at what pre-employment data reveals, let’s consider the landscape it exists within. According to Safe Work Australia’s Key Work Health and Safety Statistics 2025, there were 146,700 serious workers’ compensation claims in Australia in 2023-24, each involving at least one week away from work. Body stressing injuries remain the leading cause, accounting for 32.7% of the total. When you add falls, slips and trips and being hit by moving objects, four categories alone account for more than 80% of serious claims. 

Mental health conditions are a growing part of this picture. Claims for psychological injuries now represent 12% of all serious claims and have increased by 161% over the past decade. Median time lost for mental health claims is more than 5 five times that for physical injuries, with median compensation of $67,400 compared to $14,600 across all claims. 

These figures reflect what happens when risk isn’t identified early. Pre-employment data is one of the earlier points in the employment lifecycle where that identification can begin. 

The role of inherent requirements in meaningful pre-medicals 

Not all pre-employment assessments are equal. Under the Disability Discrimination Act 1992 (Cth), assessments are only lawful and genuinely useful when they are directly tied to the inherent requirements of the specific role, being the core tasks a person must be able to perform to do the job. The Australian Human Rights Commission is clear that assessments must be grounded in what the role actually demands, not applied as a generic medical gate. This means a pre-employment medical for a warehouse picker needs to reflect lift heights, load weights, reach requirements and pace of work. An assessment for a healthcare support worker needs to take into consideration the manual transfer demands and postural requirements of that particular job or environment. 

This distinction matters practically, not just legally. An assessment that isn’t anchored to the real demands of a role produces data that is harder to act on, which is why a well-structured job task analysis is imperative for a meaningful pre-employment program. Without a clear picture of what a role requires, it’s difficult to design an assessment that captures the right information, or to interpret what that information means for job design, task allocation and early risk controls. 

The trends that emerge across a workforce 

When pre-employment data is reviewed at a cohort level, rather than candidate by candidate, consistent patterns tend to surface. 

Reduced range of motion and existing musculoskeletal history appear with regularity in populations recruited into physically demanding roles. Candidates may present with previous soft tissue injuries, limited shoulder or lumbar mobility or reduced grip strength relative to task requirements. Safe Work Australia’s research shows musculoskeletal disorders accounted for 60% of all serious claims nationally over a five-year period, with most developing from cumulative exposure rather than a single event. Safe Work Australia’s Model Code of Practice for hazardous manual tasks identifies repetitive movement, sustained or awkward posture and high force as the primary risk factors that, in combination, significantly increase MSD risk. A pre-employment assessment identifies where that cumulative risk may have already started before a person walks through the door. 

Cardiovascular and metabolic indicators also show patterns that matter for task allocation. Elevated blood pressure, high BMI and low aerobic baseline are common in cohorts assessed for heavy physical roles. These are not disqualifying findings in isolation, but when combined with high-exertion tasks, hot environments and long shift durations, they represent elevated risk profiles that job design can accomodate for. 

Psychosocial and psychological indicators are becoming an increasingly significant part of what pre-employment data reveals. Questionnaire responses and psychological screening components often highlight stress, anxiety or resilience risk factors that correlate with psychosocial hazards present in certain roles. Given that mental health claims now represent the fastest-growing category of serious workers’ compensation in Australia, this dimension of pre-employment screening has shifted from optional to essential. 

Functional capacity gaps are particularly informative when assessed against the role’s specific demands. A candidate may present as broadly healthy but show a functional capacity for repetitive lifting that falls below what a particular task actually requires. Without that information, task allocation decisions are made blind. 

Informing job design and risk controls 

The real value of pre-employment data doesn’t sit in the assessment report alone. It sits in what is done with that information. 

The most effective way to prevent musculoskeletal disorders, according to Safe Work Australia, is through good work design. This involves designing tasks, equipment, workspaces and systems to eliminate hazards before incidents occur. Pre-employment data provides an evidence base for that. If a high proportion of candidates present with reduced lumbar mobility, that is useful information for reviewing load heights, reaching requirements or rotation schedules before the first injury happens. 

Task allocation also becomes more precise when informed by functional baseline data and early risk controls can be activated before a worker’s first shift, prompting an early check-in, a modified induction or targeted monitoring during the settling-in period where they are finding their feet. 

A simple example that connects the dots 

Consider a distribution centre that is onboarding a cohort of new pickers. Pre-employment assessments across the group reveal that a significant proportion present with prior lower back complaints or reduced lumbar range of motion. Individually, each person has been assessed as fit for the role. But the trend across the group tells a different story about the role itself. 

The data prompts a closer look at the task. The team reviews pick heights, identifies that a high volume of bends are concentrated in a specific zone of the warehouse and introduces a simple rack height adjustment for that area. An early onboarding physiotherapy check-in is added for workers who flagged lumbar history. Within six months, a cluster of lower back presentations that previously have developed into lost-time claims simply doesn’t materialise. 

The pre-medical assessment didn’t prevent those workers from starting. Instead, it established the information needed to keep them working safely. 

One final point 

The trends in pre-employment data aren’t just valuable for managing individual risk. They’re a lens on the health of a workforce before it’s fully formed. Organisations that treat that data as a planning asset rather than a gateway check are in a fundamentally better position to reduce injury frequency, control costs and build teams that stay healthy over the long term.  

In many ways, pre-employment medical data bridges the gap between understanding job task demands and acting on early risk signals. A pre-employment medical assessment that feeds into an onsite injury prevention program creates a continuum that the data can actually travel along. Having this cohesive approach to support and risk management means that insight gathered on day one keeps delivering value well beyond it. 

To find out more about incorporating this approach to pre-employment assessments and end-to-end workforce health, and to reveal trends within your own organisation, get in touch today.