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CARE PLANNING


PRACTICAL PROGRESS AND RESPONSIBLE POSSIBILITIES


Conversations at the AI in Residential Care Rountable, hosted by Casson Consulting and Access, and attended by Digital Care Hub, highlight both the opportunities and responsibilities ahead in relation to artificial intelligence.


Artificial intelligence (AI) is becoming a practical part of residential care, helping providers improve safety, wellbeing and efficiency. Many homes already use AI-enabled features within everyday systems such as digital care planning, monitoring tools and workforce platforms. These tools increasingly rely on automated pattern recognition, early warning indicators and predictive features. As they develop, providers are exploring how AI could help address workforce pressures, rising demand and the need for more personalised care.


HOW AI IS INFLUENCING CARE


AI-supported tools now play a growing role in daily practice. Smart monitoring systems using sensors and algorithms can spot falls or sudden changes in movement and notify staff. For people who may struggle to call for help, these systems can improve safety and reassurance.


Digital medication management is also advancing. Electronic systems can flag unusual patterns, missed doses and potential errors, reducing reliance on paper and helping staff identify risks earlier. Care planning platforms increasingly offer features that interpret information and highlight trends. While not always labelled as AI, they oſten draw on similar techniques.


Some homes are exploring early companionship technologies. Voice-activated tools can support communication and reduce isolation, while research projects are testing robotic companions that offer structured activities or reminders. These tools are not meant to replace human interaction, but can supplement staff input.


WHAT PROVIDERS SAY THEY NEED


Providers emphasise that AI must be introduced safely and with strong governance. Roundtable discussions highlighted the need for clear organisational policies that protect residents, transparent data practices and secure digital infrastructure before adopting more advanced tools. Participants also noted the risks of informal use of consumer AI in care settings and the need for clear guidance from employers.


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Building digital confidence across the workforce remains a priority. Staff need training to understand how AI works, how to question outputs and how to check accuracy. Leaders also need the capability to make informed decisions about procurement, risk and implementation.


Katie Thorn from Digital Care Hub captured this focus on trust and responsible use: “The fundamental question we must address is trust. How do we maintain confidence from both care workers and people receiving care when AI is involved in care delivery. Care workers need training not just in using AI, but in critically evaluating its outputs, questioning, monitoring and refining what the technology produces.


“Crucially, we need to share examples where AI has failed, not just successes, so the whole care community can learn from these experiences. Clear employer guidance and ongoing evaluation of what works for your specific setting are essential. When used responsibly, AI can enable more informed care decisions through the wealth of data it makes accessible.”


HALLMARK: A PRACTICAL EXAMPLE


Hallmark Luxury Care Homes is taking a cautious but curious approach. Their AI in the Workplace policy aligns with CQC and CIW expectations, and they use practical tools such as chatbots that help colleagues access policies and systems that spot care trends or early signs someone may need extra support.


They are also participating in a research project exploring an AI- enabled humanoid companion robot. The study includes careful assessment of residents’ expectations before any introduction, ensuring technology complements human contact and is introduced at a pace that suits each setting.


MOVING FORWARD


AI is already part of social care systems. With strong governance, transparency and a focus on human relationships, the sector can help shape AI so it strengthens trust, enhances safety and supports person-centred residential care.


www.digitalcarehub.co.uk/AIinSocialCare www.tomorrowscare.co.uk


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