AI is about to revolutionise ageing at home
30 June 2021 | 0 Comment
Forget strange looking robots attempting to impersonate a meaningful conversation. The real revolution in agetech AI will look less like it was designed by a teenage comic book fan, and instead will focus on deep data insights and advanced decision making – powered by machine learning and computer vision.
While soulless robots appearing at bedsides make for good media clips – older adults in the real world want three core principles; meaningful human contact, ageing at home and personalised health measurement.
The first has become increasingly obvious. If 2020 has taught us one thing, it’s that loneliness and isolation are on the rise. We all want to spend more meaningful time in contact with our loved ones; wherever in the world they may be, and regardless of the enforced new norms of shielding and social distancing.
Video calling is now ubiquitous. Be it through platforms such as Zoom, or for older adults delivered via Konnect on their own TV from the comfort of their sofa, We’re now all more comfortable with video calling and clear that it can deliver meaningful contact to reduce loneliness and help older adults live independently.
Next is the move towards ageing at home. Fewer unnecessary hospital visits and admissions and an increased independence to age in place? at home is driving the development of remote home health monitoring.
Wearables are being augmented by smart home technology but more importantly self-administered health, well-being and environmental sensors that can provide care teams with a patient-centric single dashboard view of the Users health. The Konnect platform from Kraydel, has used API integration to deliver data and insights from health devices including blood pressure cuffs, PulseOX, digital thermometers to a single health dashboard – enabling remote care to be delivered in the home.
The third driver is to better understand and better manage your own health. This includes not only tracking health changes but also better understanding how you compare to your peers and your “normal”. This is where the real driver in AI development will come.
We can break the progress of agetech AI developments into 4 key areas:
Earlier identification of both problems and trends
Healthtech is getting smarter at spotting problems that doctors simply can’t. AI is accelerating the identification of trends that in many instances would be impossible for traditional medicine to spot.
This early proactive identification and triaging of potential health concerns, on an individual and societal level is critical both in improving treatment and prognosis but also in reducing unnecessary hospital visits and demand on the healthcare system. This reduction in unnecessary visits, in turn frees capacity for more meaningful contact time between doctor and patient.
Improving the speed, accuracy of healthcare delivery
Related to improved identification is the scope for AI to radically accelerate the accuracy, adherence and compliance of healthcare provision and pharmaceutical development. Increased accuracy means more accurate treatments, faster development or more precision targeted medications and more personalised care delivery.
Through remote care monitoring, AI will help clinicians to understand the real-time impact of treatments and help adjust and monitor patient’s treatment plans. With systems like Konnect, doctors will be able to monitor key health data, taken in the home via Bluetooth enabled API integrations with health devices; and then set medication reminders, set health data parameters with alerts, and schedule and manage health care appointments.
Providing a universal measure for resilient ageing
Our most basic health care desire is to know that we fall within the acceptable range of what is ‘normal’ for someone with my health and wellness profile. As we age, it becomes increasingly difficult to track variations in the ageing process. AI offers the prospect of being able to track your personal ageing, understand variations from the “norm” and also compare your ageing journey against that of your peers, and in turn predict your future health care needs.
Through this deeper understanding of an individuals personal ageing profile, AI will provide the benefit of increasing participation in your own care and also help engage family and loved ones in the ageing process. This in turn helps to remove the stigma and burden of growing older – delivering physical and mental health benefits.
Deliver personalised healthcare plans
The triumvirate of care is the ability to track, understand and manage your personal care. AI provides ability to accelerate the delivery of personalised care plans, from educational content, to cognitive brain training and tailored responsive treatment plans – AI provides an opportunity to help patients better participate in their own healthy ageing.