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AI monitoring


in how alert our residents are during the day due to fewer night-time disturbances. Those who used to be very tired and low on energy are now awake and lively. It has genuinely enhanced their quality of life.” Gemma Jones, home manager, Meifod and Vicarage Court


3. Personalised care plans Because AI monitoring systems can provide care teams with a wealth of data, using this can create more personalised care plans. Through the insights available, care teams can better understand each resident’s unique pattern of behaviour and health needs so they can take a more tailored approach to their care.


For instance, if a resident is consistently restless at night, the care team might adjust their bedtime routine or explore potential underlying issues, such as pain or anxiety. “When we see what’s going on in the


night, we can then re-look at the care plan for the night-time and we can write that as person-centred as we can because Ally will allow us to see what is going on in the night, what is normal for somebody, and then what is something that’s occurring that we have to look at.” Nicola Ray, registered manager, Oaklands Care Home The real power of AI monitoring systems is the data when combined with digital care records. The AI systems provide the data on the unobserved care needs whilst the digital care record data is the observed care needs and the combination completes the care picture. As a result, care teams can easily track changes in a resident’s condition over time, identify trends, and then make adjustments to care plans accordingly. Ultimately this more proactive approach to care helps to identify potential issues and ensure these are addressed before they become serious problems. “We’ve been able to optimise the care plan


for every resident, leading to transformative improvements in their lives – something we couldn’t achieve with care plan data alone.” Julie Burton, head of operations, Twinglobe Care Ltd


October 2024 www.thecarehomeenvironment.com


4. Increased staff efficiency One of the challenges I see in care homes is the high demand placed on carers, who often manage multiple residents simultaneously. AI monitoring systems help alleviate some of this pressure by reducing the need for constant physical checks and allowing staff to focus on more meaningful interactions with residents.


With the system taking care of routine monitoring, carers have more time to spend with residents who need it most. This not only improves the quality of care but also enhances job satisfaction for staff, as they can focus on providing the compassionate, personalised care when and where it is needed the most. Also by reducing the need for frequent night-time checks and responding only to the most critical alerts, AI monitoring systems help reduce the workload on carers, leading to lower stress levels, reduced burnout, and ultimately improve staff retention if they feel happier. “The staff team reported that they found


the system really intuitive and also the fact that the system has given them more time to do the more important things that they need to do on a day-to-day basis, especially during the night shift.” Jay Trondillo, regional director, Maria Mallaband Care Group “The system has released staff time during


the night, allowing carers to allocate more time to personalised care and engagement with residents within the home.” Melanie Dawson, home manager at The Lawns


5. Promoting resident independence In my view, one of the key goals when caring for residents is to promote as much independence as possible. Allowing residents to maintain their dignity and autonomy is key to their overall wellbeing and AI monitoring systems support this goal because residents are reassured that help is available if needed. There is a balance between maintaining safety and supporting independence. While traditional care models may involve frequent checks that can feel intrusive to


a resident, AI monitoring offers a more subtle approach. Residents can enjoy greater privacy and freedom in their rooms, knowing that the system is unobtrusively watching over them which feeds into the quality of life they enjoy in the care home. “My mum, as I say, is very old and frail,


but she’s very lucid, but she is very confident because if she was unwell that there would be a response. And the impact on me is that she knows that and I know that so I don’t worry at night that she’s unattended. A visual check is fine, hourly or two hourly, but I don’t know, anything can happen after that, but in this system if she calls out it’s a double whammy for her really, she can’t lose on it.” Christine Herbert, daughter of a resident at Oaklands Care Home


The ethical considerations of AI monitoring As with any technology that involves monitoring individuals, there are ethical considerations to be mindful of. The biggest issues relate to privacy and consent but there is also the potential for over-reliance on technology.


1. Privacy by design When implementing an AI monitoring system, two key factors must be considered: the benefits it provides and its impact on resident and staff privacy. One major advantage of continuous monitoring is the ability to reduce the need for regular safety checks, enhancing residents’ privacy. However, this comes with the trade-off of continuous data collection, as residents’ activity is monitored whenever they are alone in their rooms, which can sometimes feel intrusive.


When choosing a system, it is crucial


to evaluate what data is collected, how it is used, who has access to it, and what benefits it provides.


Obtaining informed consent from residents (or their legal representatives) is essential before implementing any monitoring system. Residents should fully understand the system’s functionality, the data being collected, its purpose, who


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