The future of occupational healthcare: why the current model is stuck. And what does work

Dutch occupational healthcare is under pressure. Absence is rising, the inflow into long-term incapacity for work is increasing, and at the same time there is a structural shortage of company doctors. In such a context, “more of the same” is not a strategy. The key question is: how do you make the system more efficient and more effective, without sacrificing quality, privacy or professional standards?

Research by James van der Spek in collaboration with Nyenrode into the state of Dutch occupational healthcare describes this as a system that is becoming ever heavier to run, while the available capacity is shrinking.

1) The system has become mainly process-driven

In practice, much occupational healthcare is organised around laws and regulations, building case files, deadlines and limiting the risk of sanctions. That is understandable, but it has a side effect: the sector increasingly resembles a “compliance machine”. Processes become tight, but the question “what works for recovery and sustainable employability?” fades into the background.

That difference matters. Efficiency is about capacity and lead time. Effectiveness is about outcomes: faster recovery, less repeated absence, better employability, less inflow into the WIA (Wet werk en inkomen naar arbeidsvermogen, the Dutch long-term disability scheme). It is precisely on effectiveness that clear, shared goals and measuring points are often missing.

2) Data is everywhere, but hardly used as a management tool

Almost all parties use systems for absence management and administration. That means the data is there. The problem is that this data is often not consistent enough (standardisation), not easily exchangeable (across the chain), and not used to predict, prioritise or intervene preventively. Technology therefore remains mainly a registration tool instead of an instrument for decisions and improvement.

The result: professionals have to do a lot of “manual work” in triage, coordination, reporting and repeating the same steps, while part of that could be lighter with better data standards and decision support.

3) The shortage of company doctors forces a redistribution of tasks

The scarcity is not a temporary dip. It is structural. That makes the question urgent: which tasks must be done by a company doctor, and which tasks can be done safely and responsibly by other professionals within clear frameworks? Think of case management, guidance, coaching and parts of the intake and triage. This is not a “cost-cutting trick”; it is a necessary reorganisation to free up capacity for more complex medical assessment, direction and prevention.

If you don’t organise this, you see predictable effects: longer waiting times, more pressure on doctors, less time per case, and ultimately lower quality and poorer outcomes.

4) Prevention remains a side issue, while that is where the biggest gains are

On paper, prevention is part of the system (RI&E risk assessment, PAGO/PMO health checks, PSA policy on psychosocial workload). In practice, too little often happens “before the sick report”. That is not only due to unwillingness, but to incentives: the return on prevention is hard to prove, comes later and is often spread across several budget holders. As a result, absence management naturally gets priority.

Yet this is exactly where the leverage lies. Early detection, quick interventions for mental health complaints and targeted support for recovery (sleep, workload, conflicts) usually deliver more than intensive interventions once someone has been absent for a long time.

5) Technology will change the sector, but only if the basics are right

AI, automated reporting, decision support and digital interventions can do a lot: improve triage, recognise patterns, reduce administrative burdens and personalise support. But that can only scale if three conditions are met: standardised data, secure exchange across the chain, and clear governance on what may and may not be automated (especially in medical decision-making).

Without those preconditions, technology remains limited to separate pilots and “tools”, without real transformation.

What does this mean in practice for employers and service providers?

The sector is moving towards a model in which prevention, data and the division of tasks are not “extras”, but the core. That calls for choices many organisations have not yet made explicitly:

• Clear goals: which outcomes are leading (sustainable employability, repeated absence, lead times, WIA risk)?
• Smart use of capacity: a doctor where needed, other professionals where possible, with clear responsibilities.
• Data as a management tool: not only registering, but detecting, prioritising and improving.
• Putting prevention at the centre: not as a campaign, but as a fixed rhythm and governance.

If you organise this well, you not only get lower costs and less pressure; above all, you get a system that is more predictable, more human and easier to scale. Exactly what is needed in a labour market where care capacity remains scarce.