Our perspective

Care is not failing because of the people. It is failing because the system no longer adds up.

Amir Humanfar, Co-Founder and Chief Marketing Officer of HUM Systems GmbH Amir Humanfar · Co-Founder and CMO, HUM Systems GmbH · Last updated: 6 August 2026 · 5 min read

Key takeaways

  • The care workforce gap can no longer be closed simply by hiring more staff. The people needed are not available.
  • Technology is not what makes care expensive. The real costs come from every situation that goes unnoticed, every unnecessary routine check and every delayed response.
  • Technical assistance does not replace care professionals. It eliminates blind spots, unnecessary walking and avoidable documentation work.
  • What matters is not which solution has the longest feature list, but which one helps existing care teams work more effectively.

One care professional on the night shift is responsible for fifty residents. A full round takes four hours. Falls can go unnoticed. Documentation consumes a substantial part of every shift.

Families have become the hidden reserve of a system that would have collapsed long ago without their unpaid work. Yet the political response remains the same: more staff, more funding, higher contributions.

But the numbers no longer add up.

Why is hiring more staff no longer enough?

Because the people this solution depends on simply are not available. Many developed economies already face major shortages of care professionals, and the gap continues to widen. At the same time, the number of people requiring care is increasing.

Out-of-pocket costs are reaching the limits of what many families can afford. Long-term care insurance funds and healthcare systems are under growing pressure. Municipalities and public budgets face rising social expenditure. Scaling care solely through additional human working hours is becoming increasingly unrealistic.

What does a system that fails to detect critical situations cost?

The issue is not only that staff are in short supply. Every situation that goes undetected, every unnecessary routine check, every manual documentation task and every delayed response adds further cost to the system.

These costs rarely appear on a balance sheet. They arise during the night shift when a fall is only discovered on the next round. They arise at the desk when staff document what happened two hours earlier. And they arise in workforce planning when routine checks follow a fixed schedule rather than actual need.

Care becomes unaffordable when it continues to be organised as though staff, time and funding were unlimited.

What is the alternative?

Once we accept this reality, we have to rethink how care is organised.

Not every room needs constant human supervision. But every room needs to be safer. Not every observation requires a routine round. But critical events must be detected. Documentation should not have to be recreated later at a desk. It should be captured where care happens.

What we can create are rooms that think ahead.

Rooms that detect what care professionals cannot see because they are in another room. Rooms that recognise falls, calls for help and high-risk situations. Rooms that document while care is being delivered. Rooms that support care teams instead of monitoring them. Rooms that help keep care sustainable by directing the scarcest resource—skilled care professionals—to where it is needed most.

Why is this not simply about innovation?

This is not innovation for innovation’s sake. It is an answer to the defining question of the years ahead:

How do we preserve quality of care when staff, time and funding are all becoming scarcer?

An AI room assistance system does not replace a care professional. It eliminates blind spots, unnecessary walking, delayed responses and avoidable documentation work. Professional assessment and decision-making remain where they belong: with the care team.

That is precisely where its economic value lies.

If the care system reaches its breaking point, the most expensive solution will not prevail. The solution that endures will be the one that makes existing care teams more effective, identifies risks earlier and organises care with less friction.

What follows from this

Rooms that think ahead when no one else is in the room.

Livy Care was created from this conviction. Livy Care is HUM Systems GmbH’s AI room assistance system for care facilities and hospitals. The ceiling-mounted system detects falls and situations that may precede a fall, then alerts the responsible care professional via connected devices or nurse call systems. It also automatically records vital signs and detected falls.

Detection runs passively in the room, so people receiving care do not need to wear a device or trigger an emergency call themselves. After a fall, during unconsciousness or with advanced dementia, that is often not possible.

Frequently asked questions

Questions about the care workforce gap

Why is hiring more care staff not enough on its own?

Because the additional skilled professionals are not available in the labour market, while the number of people requiring care continues to rise. Better pay and training are important, but they cannot close the gap at the speed at which it is growing. Realistic planning therefore has to assume that care must be organised with fewer staff per person receiving support.

What costs arise when critical situations go undetected?

They arise in three areas. A fall that is only discovered during the next routine round can have more serious consequences than one that receives an immediate response. Retrospective documentation consumes working time that is then unavailable for direct care. Fixed routine checks also tie up staff regardless of whether anything is actually happening in the room.

Does technical assistance replace care professionals?

No. It changes how care professionals spend their time: fewer routine checks without a specific reason, shorter walking distances because teams know where support is needed, and less retrospective data entry at a desk. Professional assessment and every decision involving the person receiving care remain with the care team. An assistance system provides alerts and information, not diagnoses.

What is an AI room assistance system?

An AI room assistance system is a permanently installed system that uses artificial intelligence to analyse sensor data, detect defined events and notify the responsible people. In care settings, it can detect events such as falls, calls for help or a person leaving the bed without requiring the person to wear a device or trigger an alarm themselves.

Discover Livy Care as an AI room assistance system

How can the benefits of systems like these be demonstrated?

By measuring operational metrics within the organisation: time spent on routine tasks, the number of night-time checks, response times to events and documentation workload. Organisations should establish these baseline values before introducing a system; otherwise, its impact cannot be demonstrated afterwards. A supported pilot with predefined success criteria is the standard approach.

Portrait of Amir Humanfar

About the author

Amir Humanfar

Co-Founder and Chief Marketing Officer, HUM Systems GmbH

Amir Humanfar co-founded HUM Systems GmbH and is responsible for the Livy Care brand and commercial development. For years, he has worked with care providers, facility management teams and hospital groups on how care can be organised when staff, time and funding are all becoming scarcer.

HUM Systems on LinkedIn

What would this look like in your organisation?

We start by listening. Then we use your occupancy and ward data to assess what an AI room assistance system could achieve in your organisation.

This article reflects the position of HUM Systems GmbH. Last updated: 6 August 2026.