The staffing shortage in the Netherlands has multiple reinforcing causes. An aging population simultaneously drives up demand for care while reducing the number of available workers, while high workloads and relatively low wages push employees out of critical sectors. Demographic shifts, changing employee preferences, and insufficient inflow from education also play a major role. In this article, we answer the most frequently asked questions about the staffing shortage in the Netherlands and what can be done about it.
Which sectors face the greatest staffing shortages in the Netherlands?
Healthcare, education, and technology are the sectors in the Netherlands facing the most severe staffing shortages. Within healthcare, the shortage is most acute: nursing homes, home care organizations, and hospitals are in constant search of qualified staff, while demand for care services grows by an average of six percent each year.
Beyond healthcare, primary and secondary education is also under enormous pressure. In many regions, schools cannot fully staff classrooms due to a lack of qualified teachers. The technical sector — including construction, the energy industry, and IT — likewise faces a structural deficit of workers to meet demand.
What these sectors have in common is that they are labor-intensive, require specific qualifications, and are simultaneously experiencing growing demand. This makes the shortage in these industries structural in nature and difficult to resolve with short-term measures.
What are the main causes of the staffing shortage?
The primary causes of the staffing shortage in the Netherlands are an aging population, high workloads, insufficient inflow from training programs, and a mismatch between available skills and employer needs. These factors interact and reinforce one another, which is why the shortage has persisted across many sectors for years.
Specifically, the main causes are:
- An aging workforce: a large share of current employees is approaching retirement age, while not enough young people are entering the workforce to replace them.
- High workloads and burnout: particularly in healthcare and education, employees leave their professions prematurely due to overload.
- Insufficient enrollment in training programs: the number of students choosing healthcare or technical programs is not keeping pace with demand.
- Skills mismatch: digitalization and technological development require new competencies that are not always available in the labor market.
- Changing employee preferences: younger generations more often opt for part-time work, flexible contracts, or self-employment.
An additional factor is the tight housing market in urban areas, which makes it harder for employers to attract staff from other regions or from abroad.
How does an aging population affect the staffing shortage in healthcare?
Aging doubles the staffing shortage in healthcare: on one hand, the number of elderly people requiring care is rising rapidly; on the other, a large share of experienced healthcare professionals is leaving the workforce through retirement. This combined effect makes healthcare the sector with the most urgent staffing challenge in the Netherlands.
By 2026, more than one in five people in the Netherlands will be over the age of 65. This group has, on average, greater and more complex care needs than younger age groups. At the same time, many nurses and caregivers who trained in the 1990s and early 2000s are now nearing the end of their careers.
The result is a structurally widening gap between supply and demand. Elderly care facilities struggle to fill vacancies, which increases the workload on existing staff and ultimately drives out those who can no longer sustain the pace. This creates a negative spiral that is difficult to break without structural intervention.
Why do healthcare workers leave, and how does that sustain the shortage?
Healthcare workers leave primarily because of high workloads, emotional strain, and the feeling that they do not have enough time to provide adequate patient care. This departure directly worsens the shortage: every employee who leaves places more pressure on the colleagues who remain, which in turn increases the likelihood that they too will burn out or resign.
Research within the sector consistently points to the same reasons for leaving:
- Excessive caseloads per employee, making it difficult to deliver quality care
- Irregular working hours and night shifts that place a heavy burden on personal life
- Insufficient autonomy and input in their work
- The feeling that caregiving is undervalued — both socially and financially
- Administrative burdens that eat into time for direct patient care
What makes this pattern particularly insidious is that it is self-sustaining. Healthcare organizations that struggle to recruit staff place greater demands on the employees they do have. Those employees become overloaded and leave, after which the organization must search for replacements all over again. Without targeted interventions addressing both working conditions and the smart use of technology, this cycle continues to turn.
How can technology help solve the staffing shortage in healthcare?
Technology can help address the staffing shortage in healthcare by automating routine monitoring and supervision tasks, freeing healthcare workers to focus on tasks that genuinely require human attention. AI-driven systems can continuously monitor patients and alert staff immediately in risk situations, without requiring constant personnel presence.
Practical applications already in use in healthcare include:
- Fall detection and fall prevention: AI software recognizes high-risk movements or positions and alerts staff before a fall occurs or immediately after.
- Lying position recognition: automatic detection of unsafe or uncomfortable postures in bedridden patients reduces the need for frequent manual checks.
- Smart alerting: systems that only trigger an alarm when action is genuinely required reduce alarm fatigue among staff.
- Night monitoring: AI that monitors residents around the clock makes it possible to schedule night shifts more efficiently without compromising safety.
Technology does not replace healthcare workers — it enables fewer people to safely support more residents. That is an essential distinction: human care remains central, but is supported by systems that never tire and never miss a thing.
What are the consequences of the staffing shortage for the quality of care?
The staffing shortage directly leads to lower quality of care: staff have less time per patient, emergencies are identified later, and the risk of errors increases. Over the longer term, the shortage threatens the accessibility of healthcare as a whole, as facilities are forced to maintain waiting lists or suspend admissions.
The consequences are felt at multiple levels:
- Patients and residents receive less personal attention and must wait longer for assistance
- Healthcare workers feel guilty about the care they are unable to provide, contributing to burnout
- Organizations see their quality indicators deteriorate and risk negative inspection outcomes
- Societal costs rise as complications occur more frequently and recovery trajectories grow longer
It is a challenge that requires both structural solutions at the labor market level and the smart deployment of available resources within care organizations themselves.
How Kepler Vision Technologies helps address the staffing shortage in healthcare
At Kepler Vision Technologies, we develop AI solutions that help care organizations deliver the same — or even better — quality of care with fewer staff. Our software, Kepler Night Nurse, monitors residents in elderly care facilities and hospitals around the clock, detects falls immediately, and alerts staff within seconds.
What our solution offers in practice:
- Fall detection and fall prevention: immediate alerts when a fall occurs, so no emergency goes unnoticed
- Lying position recognition: automatic posture monitoring without the need for continuous manual checks
- Only one false alarm every 92 days: a thousand times more accurate than older technologies, significantly reducing alarm fatigue
- Full privacy protection: footage is never viewed by humans; staff only enter a room when the software requests it
- Plug-and-play installation: easy to plan, configure, and deploy
- ISO 27001 and NEN 7510 certified: security and compliance are guaranteed
Our solutions are already in use at international care organizations and help every day to relieve the burden on healthcare staff without compromising resident safety. Want to know what we can do for your organization? Contact us and discover how AI can ease the staffing shortage at your facility.
Frequently Asked Questions
How quickly can care facilities expect results from AI solutions such as fall detection?
Most care facilities notice a difference in workload within the first few weeks after implementation, as staff no longer need to make unnecessary room rounds and are only alerted in genuine risk situations. Structural effects on staff turnover and absenteeism typically become visible after three to six months, once employees experience a measurable reduction in their workload. A plug-and-play solution like Kepler Night Nurse significantly shortens the setup time, making the transition as smooth as possible for staff.
Is AI monitoring in healthcare ethically sound, and what about resident privacy?
Privacy is rightly one of the first concerns raised by care organizations and residents when considering AI monitoring. Modern systems like Kepler Night Nurse are designed so that footage is never viewed by humans and is processed exclusively by the AI software itself, ensuring that residents' personal privacy is fully protected. Certifications such as ISO 27001 and NEN 7510 also provide a formal framework that demonstrably complies with applicable data protection regulations in healthcare.
What steps can a care organization take to ease the staffing shortage in the short term?
In the short term, the most effective measures focus on reducing unnecessary staff turnover: lower administrative burdens, give employees more autonomy over their schedules, and deploy technology for routine tasks such as night monitoring and supervision. Additionally, the strategic use of career changers and returning healthcare workers can quickly add capacity, provided they receive proper guidance. Technological support is not a substitute for structural policy, but it is a direct way to reduce pressure on the existing team.
How do I get healthcare staff to embrace AI technology in the workplace?
Resistance to technology in healthcare often stems from the fear that AI will replace human care or compromise resident privacy — both concerns are understandable and deserve an honest response. Involve staff early in the implementation process, clearly explain which tasks the technology will take over and which tasks will gain more space as a result, and where possible let them experience the system firsthand. Real-world examples from peer organizations where AI has demonstrably reduced workloads are often more convincing than abstract promises.
Are there subsidies or funding options available for care organizations looking to invest in AI?
Yes, there are various funding options for care organizations wishing to invest in care technology. The Dutch government offers schemes such as the Subsidieregeling Veelbelovende Zorg and various regional innovation funds that support technological applications in elderly care. The 'Zorg voor Innoveren' program from the Ministry of Health, Welfare and Sport also provides practical support and referrals to appropriate funding. It is also advisable to involve the health insurer and care office, as they are sometimes willing to co-finance solutions that demonstrably contribute to quality improvement.
What is the difference between fall detection and fall prevention, and which approach is more effective?
Fall detection responds to a fall that has already occurred and triggers a rapid alert, while fall prevention identifies high-risk situations before a fall takes place, thereby preventing harm. Ideally, an AI system combines both functions: it recognizes dangerous movements or postures as early warning signals and immediately alerts staff when a fall does occur. The combination of prevention and detection delivers the greatest safety gains while simultaneously reducing the severity of injuries, which significantly lowers recovery costs and care burden over the long term.
How does the staffing shortage in Dutch healthcare compare to that in other European countries, and can we learn from their approaches?
Together with Germany, Belgium, and the Scandinavian countries, the Netherlands is among the European countries with the most acute healthcare staffing shortages, due in part to its relatively high rate of population aging and the high quality standards placed on care delivery. Countries such as Denmark and Finland are ahead when it comes to technological integration in healthcare and demonstrate that a combination of better working conditions, smarter use of care technology, and targeted retraining programs can measurably reduce the shortage. For the Netherlands, the Scandinavian model is particularly inspiring, as AI and smart home technology have already been structurally embedded in healthcare policy there rather than being treated as pilot projects.