Staff shortages in the labor market are a structural problem that will only grow without targeted intervention. An aging population, a shrinking workforce, and rising demand for care are widening the gap between labor supply and demand in the years ahead. In this article, we answer the most frequently asked questions about staff shortages, their consequences for care organizations, and the role technology can play as a solution for healthcare.
How serious are staff shortages in the labor market?
In 2026, staff shortages in the labor market represent one of the greatest challenges for employers in the Netherlands and well beyond. The labor market is structurally tight: there are more vacancies than available workers, and that balance does not correct itself. An aging population simultaneously drives the outflow of experienced employees while increasing demand for services.
Sectors such as healthcare, education, and engineering have been struggling with unfillable vacancies for years. But shortages are also felt in logistics, hospitality, and manufacturing. The root of the problem is demographic: simply put, fewer young people are entering the workforce than older workers are leaving it. This makes staff shortages not a cyclical phenomenon, but a lasting structural reality.
Which sectors are most affected by staff shortages?
The healthcare sector, education, and the technical sector are hit hardest by staff shortages. In healthcare, demand for workers is growing faster than in any other sector, while supply lags behind due to demanding working conditions and high staff turnover. This makes healthcare the sector with the most urgent staffing challenge.
Beyond healthcare, the following sectors are also particularly vulnerable:
- Education: Teacher shortages lead to larger class sizes and a decline in educational quality.
- Engineering and IT: Demand for engineers and software developers far exceeds the available talent pool.
- Construction: An aging skilled workforce and low intake of young workers create a structural gap.
- Logistics: Growing e-commerce adds further pressure to an already tight labor market.
What these sectors have in common is that their work is difficult to automate while simultaneously being heavily dependent on human presence. That makes staff shortages in these industries especially challenging to address.
What are the consequences of persistent staff shortages for care organizations?
Persistent staff shortages lead to overwork among existing staff, higher turnover, and ultimately a decline in the quality of care. When teams are structurally understaffed, workloads increase, which in turn leads to higher rates of sick leave and burnout. In this way, the shortage feeds itself in a downward spiral.
The consequences are concrete and far-reaching:
- Clients and patients receive less attention and supervision.
- Unsafe situations, such as fall incidents, are less likely to be noticed in time.
- Care staff experience greater stress, increasing the risk of burnout.
- Care organizations pay more for agency workers and temporary staff.
- The quality of night shifts is under pressure due to minimal staffing levels.
For elderly care facilities, the situation is particularly acute: demand for care is growing by approximately six percent per year, while recruiting and retaining staff is becoming increasingly difficult. This makes innovative solutions not a luxury, but a necessity.
How can technology address staff shortages in healthcare?
Technology can address staff shortages in healthcare by taking over tasks that do not require human judgment, such as continuous client monitoring. By deploying AI for surveillance and early detection, care staff can focus their time on tasks that genuinely require human attention, such as personal care and direct contact.
Smart monitoring software, for example, automatically detects when a client falls or assumes an unsafe lying position. A care worker no longer needs to be constantly physically present with every client, but is only alerted when action is required. This significantly increases the effectiveness of a small team.
Technological solutions that help address staff shortages include:
- AI-driven fall detection and fall prevention in bedrooms and common areas.
- Automatic lying position recognition to prevent pressure sores.
- Real-time alarm systems that immediately notify staff of emergency situations.
- Smart scheduling software that optimizes staffing levels based on care needs.
The use of technology does not replace care workers, but enables a smaller team to deliver the same quality of care. That is precisely the approach needed in a market where finding new staff is becoming ever more difficult.
What are the privacy considerations for AI monitoring in healthcare?
In AI monitoring for healthcare, privacy and data protection are essential. The core privacy question is: who has access to clients’ images and data? Modern AI systems are designed so that footage is never viewed by humans, but processed exclusively by the software. This protects the dignity and privacy of clients.
High-quality AI monitoring software complies with rigorous standards such as ISO 27001 and NEN 7510, the benchmarks for information security in Dutch healthcare. This ensures that patient data is stored and processed securely, and that care organizations meet their legal obligations under the GDPR.
In practice, this means a care worker only enters a client’s room when the software identifies a reason to do so. This model offers two benefits simultaneously: the client’s privacy is respected, and the staff member is not disturbed unnecessarily. Transparency with clients and their families about how the technology works is an important prerequisite for trust and acceptance.
What will the healthcare labor market look like in 2030 and beyond?
The healthcare labor market will come under increasing pressure toward 2030 due to a combination of an aging population, higher demand for care, and a shrinking labor supply. Without structural measures, staff shortages in healthcare could become one of Europe’s greatest societal challenges by 2030. Technology is expected to play an increasingly significant role in absorbing this shortage.
The healthcare of the future will be characterized by a hybrid model: human caregivers working alongside AI systems that take over routine monitoring. Staff will be able to focus on the more complex and personal aspects of care, while technology handles continuous surveillance. This requires a cultural shift within care organizations and a willingness to invest in smart technology.
Care organizations that invest in AI solutions and digital infrastructure now are positioning themselves more strongly for the challenges ahead. Waiting is not an option: the longer implementation is delayed, the further behind an organization falls relative to those already operating with smart monitoring systems and optimized care processes.
How Kepler Vision Technologies helps address staff shortages in healthcare
At Kepler Vision Technologies, we develop AI solutions that help care organizations deliver the same quality of care with fewer staff. Our software, Kepler Night Nurse and Kepler NurseAssist, monitors clients and patients 24/7 and detects unsafe situations with unprecedented accuracy.
What our solution offers in concrete terms:
- Fall detection and fall prevention: The software immediately detects when someone falls and alerts care staff within seconds.
- Lying position recognition: Automatic detection of unsafe lying positions reduces the risk of pressure sores.
- Minimal false alarms: Just one false alarm every 92 days — a thousand times better than outdated technologies.
- Privacy by design: Footage is never viewed by humans, and the software complies with ISO 27001 and NEN 7510.
- Plug-and-play installation: Easy to plan, configure, and install in any care environment.
Our solutions are already in use by international care organizations and are protected by a portfolio of 21 patents. Want to find out how we can help your organization manage staff shortages? Get in touch and discover what Kepler Vision Technologies can do for you.
Frequently Asked Questions
How quickly can an AI monitoring system be implemented in a care organization?
The implementation time for an AI monitoring system depends on the size of the organization and its existing infrastructure, but modern solutions such as Kepler Night Nurse are designed as plug-and-play systems that can be installed relatively quickly. In most cases, a system can be up and running within a few weeks, including configuration and staff training. It is important to establish a clear implementation plan in advance and to involve staff early in the process, so that adoption goes smoothly.
How do I convince clients and their families to accept AI monitoring?
Transparency and clear explanation are the keys to acceptance. Explain clearly to clients and families how the system works, that footage is never viewed by humans, and that the technology is solely intended to enhance safety and avoid unnecessary disturbances. A personal conversation in which you demonstrate how the system works and allow time for questions significantly increases trust. Many care organizations find that acceptance rises sharply once clients and families understand that their privacy is actually better protected than with traditional supervision.
What if staff members resist the use of AI in the care environment?
Resistance among staff is a common challenge when introducing new technology and is entirely understandable. It helps to involve staff early in the process, give them a say in how implementation is carried out, and communicate clearly that AI plays a supportive role and is not a replacement. Show how the technology reduces their workload, cuts unnecessary night rounds, and gives them more time for personal care. Experience shows that skepticism often fades quickly once staff see the benefits in their day-to-day work.
Can AI monitoring be used outside of night shifts?
Yes, AI monitoring systems can be deployed around the clock and add value during the day as well, particularly during periods when staffing is low or when staff are occupied with other tasks. This includes monitoring common areas, detecting fall incidents during daytime activities, or keeping an eye on clients with a heightened fall risk. By keeping the system continuously active, it provides a safety net that is independent of staff availability at any given moment.
What are the costs of AI monitoring technology, and do they outweigh the savings?
The investment in AI monitoring technology is typically recouped quickly through savings on agency costs, reduced sick leave, and the prevention of costly incidents such as falls that lead to hospital admissions. A single serious fall can cost a care organization tens of thousands of dollars in medical care, administration, and liability. In addition, the use of technology improves staff satisfaction, which reduces turnover and lowers recruitment costs. A tailored cost-benefit analysis provides the most reliable insight for your specific situation.
What steps can a care organization take right now to address staff shortages?
A good first step is to map out which tasks within your organization do not require direct human presence and are therefore suitable for automation or digital support. You can then set up pilot projects with AI monitoring solutions on a single ward, allowing you to measure the impact before rolling it out organization-wide. It is also wise to invest now in the digital skills of your staff, so that your team is ready for the hybrid care environment of the future.
How does AI monitoring differ from traditional camera systems in healthcare?
Traditional camera systems require a staff member to actively watch the footage, which is both labor-intensive and raises privacy concerns. AI monitoring analyzes footage in a fully automated way and only sends an alert when something actually requires attention, such as a fall or an unsafe lying position. This means staff do not need to continuously watch a screen, and clients' privacy is better protected. The combination of high accuracy and an extremely low false alarm rate makes AI monitoring fundamentally more effective than traditional solutions.
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