AI-Powered Home Care: Ireland's Solution to Ageing

Ireland is living through one of the fastest demographic shifts in its history. We are growing older, in large numbers, and we are doing it more quickly than our care system has prepared for. That is, in almost every respect, good news: it reflects decades of better healthcare, safer workplaces and longer, healthier lives. But it also poses a hard practical question that every Irish family will eventually face. When an older relative needs more support than they can manage alone, but a nursing home is neither available, affordable, nor what they want, what happens next?

For a growing number of families, part of the answer is technology, specifically the kind of discreet, intelligent home monitoring now grouped under the loose heading of "AI home care." This guide sets out the scale of Ireland's ageing challenge using verified national data, explains what AI home care actually is (and is not), makes the cost comparison against residential care honestly, and shows that what can sound futuristic here is already standard practice in health systems abroad.

Ireland's ageing wave: the numbers behind the headlines

The single most important number for understanding the next thirty years of Irish care is this: the population aged 65 and over is projected to roughly double. According to the Central Statistics Office's Population and Labour Force Projections 2017–2051, the over-65 cohort is expected to grow from about 629,800 people in 2016 to nearly 1.6 million by 2051. In the same period, the share of the population aged 65 and over rises from roughly 13% to between about 24% and 27%, depending on migration assumptions.

What makes this a care challenge rather than a simple population statistic is the shape of the change. It is not only that there will be more older people; it is that there will be proportionally fewer working-age adults to support, fund and staff their care. The CSO projections show the working-age share of the population declining over the same window even as the older cohort surges. Put plainly, the ratio of potential carers, taxpayers and clinical staff to older people who may need support is set to tighten significantly.

The takeaway: the over-65 population grows by roughly one million people in a single generation. Even if nothing else changed, demand for elderly care would rise enormously. But other things are changing too, and not in our favour.

The squeeze: fewer beds, fewer carers, more need

If supply of formal care were expanding to meet that demand, the ageing wave would be manageable. It is not. Two pressures are pulling in the opposite direction at once.

Residential beds are shrinking, not growing

Nursing Homes Ireland (NHI) reports that rising operating costs and pressure on the Fair Deal scheme have driven the closure of at least 77 nursing homes since 2018, with a total loss of more than 2,600 beds, and most of those closures concentrated in rural areas (NHI, reported by RTE, September 2024). At the same time, public anxiety about availability is high: research by Coyne Research for NHI in 2024 found that nearly six in ten people are very or extremely concerned that a loved one may be unable to secure a nursing-home place in their own community. The picture is not a system with spare capacity waiting to absorb the ageing wave; it is one already under visible strain.

The workforce gap is widening

The people who staff Irish care, in hospitals, in communities and in residential settings, are also in short supply. The Economic and Social Research Institute (ESRI) has projected that Ireland will need up to roughly 15,500 additional healthcare workers by 2035 simply to keep pace with a growing and ageing population, with particularly large increases needed among allied health professionals such as physiotherapists and occupational therapists (ESRI healthcare workforce projections). Recruiting, training and retaining that many additional staff in under a decade is a formidable task in its own right, and every one of those roles competes for the same finite pool of workers.

The takeaway: the over-65 population is climbing toward 1.6 million, yet residential capacity has fallen and the workforce needed to deliver care is projected to fall well short. Something has to give, and increasingly that something is the assumption that care must happen in a building other than home.

What older people actually want: to stay home

Here is the part the statistics often miss. Even if there were a nursing-home bed available for everyone who might one day qualify, most older people would not want it. The overwhelming preference, consistently expressed across surveys of older adults in Ireland and internationally, is to remain living in their own home for as long as it is safe to do so. This is sometimes called "ageing in place," and it is more than a sentiment. Familiar surroundings support cognition and mood, preserve dignity and routine, keep people connected to their neighbourhood and community, and avoid the upheaval that a move into residential care can represent late in life.

Irish policy has shifted in the same direction. The introduction of a statutory home-support scheme and sustained investment in community care reflect a clear strategic intent to help people stay at home rather than defaulting to residential care. The difficulty is the gap between that intent and the day-to-day reality for a family. Wanting Mum to stay at home is easy. Knowing she is safe there, at 3am, when nobody is in the house, is the hard part. That gap, between the wish to age in place and the practical reassurance needed to make it safe, is precisely where AI home care earns its place.

What "AI home care" really means

"AI home care" is a marketing phrase before it is a clinical one, so it is worth being precise about what it actually describes. At its core, it means a layer of connected sensors and software that quietly observes patterns of activity in the home, learns what is normal for that person, and alerts family or carers when something looks wrong, all without requiring the older person to operate a device, press a button, or change their behaviour.

In practice it spans several overlapping capabilities:

• Passive activity monitoring. Discreet sensors build a picture of ordinary daily rhythms, getting up, moving between rooms, making meals, and can flag meaningful deviations, such as a person who has not moved from the bedroom by late morning.
• Non-wearable fall detection. Software that recognises the movement signature of a fall and raises an alert automatically, without the person needing to wear or press anything. This is covered in detail below.
• Environmental and safety sensing. Detection of risks such as a front door left open at night, or unusual night-time wandering, that matter for people living with cognitive decline.
• Simple two-way contact. Intuitive ways to summon help, for example a natural gesture rather than a fiddly pendant button, and easy voice or video contact with family.

The common thread is that the intelligence sits in the system, not on the person. Older adults are not asked to learn an app, remember to charge a wearable, or wear something they find stigmatising. The technology adapts to them. SmartGuardian, the system we provide in Ireland, sits in this category: it focuses on automatic, non-wearable monitoring designed around how older people actually live.

Non-wearable fall detection, explained

Falls deserve their own section, because they are the single biggest threat to an older person's ability to keep living independently, and because fall detection is where AI home care is most mature.

Globally, the World Health Organization estimates that around one in three adults over 65 falls each year, and that falls cause roughly 684,000 deaths annually, making them the second leading cause of unintentional-injury death worldwide (WHO, Falls fact sheet). The Irish picture, captured by The Irish Longitudinal Study on Ageing (TILDA), is more specific: roughly one in eight community-dwelling adults over 70 in Ireland needs medical attention for a fall each year, on the order of 62,000 people, with more than 32,000 of them presenting to emergency departments. For a fuller, room-by-room treatment of how to reduce that risk, see our guide to how to prevent elderly falls at home.

The danger is rarely the fall alone; it is the delay in anyone finding out. A fall that is responded to within minutes is a very different event from one where the person lies on the floor for hours, unable to reach a phone. This is why the detection method matters so much, and why the traditional answer, a personal-alarm pendant, falls short. A pendant only works if it is worn and pressed, and in real life it is too often left on the bedside table, taken off in the bathroom (where many serious falls happen), or simply not reachable after a fall.

Non-wearable fall detection removes that dependency. Instead of relying on the person to trigger an alert, the system itself recognises that a fall has occurred and notifies designated contacts automatically. Crucially, the better systems do this in a privacy-conscious way. SmartGuardian, for example, represents movement as a non-identifiable stick-figure abstraction rather than capturing photographs or video, so the home is monitored for safety without turning it into a surveilled space. No approach can promise perfection, but designing for privacy from the start is very different from bolting cameras into someone's bedroom.

If you want the deeper, evidence-led treatment of how non-wearable detection works and where the global research points, we maintain the global pillar on the subject.

The cost case versus residential care

For most families this eventually comes down to money, and here the comparison is stark. Residential care in Ireland is expensive and getting more so. The National Treatment Purchase Fund (NTPF), which negotiates prices for private and voluntary nursing homes under the Fair Deal scheme, reported a national average agreed price of about €1,213 per week in its 2024 reporting, with many homes ranging higher; published NTPF rates commonly span roughly €1,200 to €1,600 per week depending on the home and region.

Against weekly figures of that magnitude, the economics of supported ageing in place are compelling. A home-monitoring layer is a small fraction of the cost of a residential placement, and for many families it is the difference between an older relative staying safely at home and moving into care sooner than anyone wanted. It is important to be honest about what this comparison does and does not show: AI home care is not a like-for-like substitute for the round-the-clock nursing a high-dependency resident receives in a nursing home. What it does is extend the period during which staying at home remains a safe and realistic choice, and in doing so it can defer or avoid a far larger cost, while keeping the person where they would rather be.

There is a system-level argument too. Every older person supported to remain safely at home is one who is not occupying a scarce residential bed, easing pressure on a sector that, as we have seen, is losing capacity rather than adding it. Technology that helps people stay home is therefore not only a private benefit to a family; it is part of a sustainable answer to the national squeeze.

This is already mainstream abroad

It is reasonable to be sceptical of anything described as an "AI solution." So it is worth stressing that non-wearable, AI-assisted monitoring of older and vulnerable people is not a speculative Irish experiment. It is already embedded in some of the world's most established health systems, with peer-reviewed evidence behind it.

• United Kingdom (NHS). Contactless vision-based monitoring systems such as Oxevision have been deployed across NHS mental-health and inpatient settings to support patient safety and reduce harm from falls, in regulated clinical environments.
• United States. SafelyYou, a company that grew out of academic research and received funding from the US National Institute on Aging (part of the National Institutes of Health), published findings in the American Journal of Managed Care from a study across memory-care communities reporting roughly 41% fewer falls and about 69% fewer fall-related emergency-room visits, alongside markedly reduced time spent on the floor after a fall.
• Japan. Government bodies including the ministries responsible for industry and for health and welfare have actively promoted care-support and monitoring technology as a deliberate response to one of the world's oldest populations and a severe carer shortage.
• Singapore. National housing and health agencies have incorporated ageing-in-place and remote-monitoring features into public housing and community-care policy.

The market data points the same way. Analysts tracking ambient assisted living and remote patient monitoring project sustained double-digit annual growth through the end of the decade, with ambient-assisted-living estimates around a 27% compound annual growth rate and remote-patient-monitoring around 13% (industry analyses including Grand View Research and MarketsandMarkets). The direction of travel internationally is unmistakable: monitoring older people in their homes, intelligently and with attention to privacy, is becoming a normal part of how ageing societies cope. Ireland is adopting an approach that is already proven elsewhere, not pioneering an untested one.

An honest framing: what the technology is, and isn't

Because the upside is real, it is all the more important to be clear-eyed about the limits. Overselling this category does families a disservice.

• It assists care; it does not replace it. No sensor can help someone wash, dress, take medication correctly, or provide companionship. AI home care complements human carers and family, it does not substitute for them. Its job is to extend reach and provide reassurance between visits, not to stand in for a person.
• It is not a medical device. SmartGuardian is a safety and monitoring system, not a medical device, and it does not diagnose, treat or replace clinical judgement. For anything clinical, a GP, public-health nurse or the HSE is the right port of call.
• No detection is flawless. Automatic fall detection is far more reliable than a pendant that is left unworn, but no technology catches every event without exception. It should be understood as a strong safety net, not a guarantee.
• Privacy is a design choice, not an absolute. Representing movement as anonymous figures rather than video is a meaningful, privacy-first decision, and a genuine improvement over camera-based surveillance. We describe it as privacy-first by design rather than claiming any system delivers absolute, total privacy.

Used with that understanding, AI home care is one of the most cost-effective and least intrusive ways to make ageing in place safe. The right frame is not "robots replacing carers." It is "a quiet safety net that lets human care go further, and lets older people stay where they want to be for longer."

Where to start

If you are weighing up how to keep an older relative safe at home, the practical first step is to be specific about the risks you are actually trying to cover, night-time falls, a tendency to wander, long periods alone, and to match the response to those risks rather than buying technology for its own sake. Often the strongest plan combines simple environmental changes with a monitoring layer; our room-by-room guide to preventing elderly falls at home is a good place to begin, and the global pillar goes deeper on the detection technology and the evidence behind it.

When you are ready to translate that into a concrete recommendation for your own situation, our team offers a complimentary 10-minute callback. We will talk through your relative's needs honestly and tell you what would genuinely help, including whether a SmartGuardian fall-detection system is the right fit or whether simpler steps would be enough.