How can AI be used in home care?

The demand for home care continues to rise as more people opt to receive support in the comfort of their homes. So perhaps unsurprisingly, 43% (or 740,000) of the filled adult social care posts are represented by domiciliary care.

And as demand grows, it compounds many of the challenges home care providers face on a daily basis. But can some of these hurdles be tackled with AI?

We’re taking a look at some AI in care examples and how to use AI in home care.

What challenges do home care providers face?

Recruitment and retention

95% of domiciliary care providers told us in our Care Trends Report 2025 they face challenges with recruitment and 97% face challenges with retention. And while retention rates in the care sector are improving, it seems that home care has been struggling with their vacancies more than residential care, with vacancy rates standing at 11.5% and 5.2% respectively.

Long hours, frequent travel and burnout make it difficult to attract and keep skilled employees. Competition from higher-paid sectors can then pull workers away, leaving these vacancies that cost providers over £6,000 each to fill. Add to that the rapid staff turnover, which can disrupt continuity of care, and you’ve got a perfect storm of client dissatisfaction and provider frustration.

Care coordination

Your teams often support individuals with multiple or complex needs, requiring a high level of expertise and coordination. And it means that they will likely have different skills, qualifications and availability that need to be considered before scheduling them to clients.

But for many home care providers, they operate over multiple areas, and many even use different systems and processes depending on location. These disparate systems can struggle to update in real-time, leaving teams to play catch up or miss opportunities entirely. Plus, it can often be the case that your care workers on the road visit clients in signal dead-spots, so can also find themselves unable to update or access the systems they need.

Supply and demand

The strain on resources in care has rightly dominated many conversations for years. Tightening budgets put a strain on providers and can ultimately mean those needing care wait longer for the support they need.

And as we’ve mentioned, inconsistent staffing levels caused by turnover can make it hard to ensure consistent, person-centered care across the board. But this supply vs demand issue doesn’t just impact the care sector; it also has a knock-on effect on hospital discharge times or even ambulance services too as people then rely on alternative services to receive the help they need.

How AI can be used in home care

1. Simplifying everyday tasks

As you know, home care visits usually range from 30-45 minutes up to an hour. And it can mean there isn’t much spare time for your care teams to manually complete all the necessary admin. That’s where AI can step in. AI tools can help summarise care notes, or offer data analytics within a matter of seconds, freeing up some vital time for your care teams to focus on other core responsibilities.

AI use in home care can even help summarise handovers or large volumes of care records too, reducing the risk of errors and supporting care continuity. By simplifying vast amounts of complex data into easy-to-understand insights, your care teams can then action next steps without the need to manually read through hundreds of lines of data. That way if your team is visiting a new client, they can provide that all important personalised care right from the get-go.

2. Staying connected

AI in home care can give a boost to the much needed sense of connectivity your service needs with your employees on the go. AI can help give your care teams critical information within seconds, whether its reviewing client care data or simply needing some support about compliance or company policies. This instant, real-time access helps to reduce time delays and allows your teams to confidently make informed decisions exactly when they need to.

3. Empowering employees 

AI isn’t designed to replace your care workers; it’s supposed to empower them. Which is why user-friendly AI tools are key for day-to-day use in home care. That’s because you want to be sure that any tools you introduce bring value to your employees’ day, rather than added frustrations or worry. Whether your users are care workers on the go or back-office teams, AI can be a helpful tool to give confidence and enhance decision making so your teams can drive results and focus on care.

4. Personalised, proactive care delivery

Delivering person-centered care isn’t just about meeting needs, it’s about truly understanding the people you support and keeping them at the heart of every decision. What AI can do is empower your care teams to provide tailored and compassionate support with fewer distractions. By automating time-consuming tasks like summarising care plans or identifying data trends, AI allows caregivers to focus on what matters most—building trust, forging meaningful connections, and delivering care with humanity.

Plus, every person you support is unique, and their care should reflect that. AI tools can analyse a range of client data—from medical histories to daily routines—to create highly personalised plans that meet individual needs.

One powerful aspect of home care AI is its ability to detect patterns and flag early warning signs. By monitoring client data, AI can identify subtle changes that might otherwise go unnoticed. This real-time feedback allows you teams to intervene early, addressing potential health risks before they become serious issues and ensure those you support receive the right care at the right time.

AI for home care

Care will always be inherently human. So, of course, AI needs to support domiciliary care—a growing and much needed pillar of our communities—to be smoother, safer, and more efficient for everyone involved.

With OneAdvanced AI, you can empower your employees, whether they are working on the go or office based. The first UK hosted private LLM (Large Language Model) for businesses, OneAdvanced AI gives your care teams the ability to retrieve vital client information in seconds, make informed decisions on the go, and leverage predictive analytics to prevent issues before they arise.

Want to see the tech in action? Watch our webinar here to see all the information you need about AI in social care.