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digital health

The Timelessness of strategies for dementia technology

Five years ago -- this site looked at the state of dementia-related technologies.  The more things (the tech offerings) change, the more their purpose and function remain the same.  Today there are websites that list gadgetry for managing and living with dementia.  There are research reports about technology for dementia care that include social robots, apps, or GPS locators. There are thoughts about implementation factors, articles from AARP, books about dementia care and many other knowledgeable observations and sources of guidance. Today 6.9 million Americans have dementia, slightly fewer than the 7 million estimated in 2020, though growth projections about dementia through 2030 were large and lon longer timeframe ones are even larger.  So what are the general tech categories that can help at the various stages?

Ten Health and Aging Tech offerings from CES 2025

One might think that the Consumer Electronics Show is about consumer electronics.  Not really. It is about tech concepts and possibilities, and possibly new or near-term products, that can lead to future products and/or distribution in the market. Whether in TVs, cars, drones, wearables, accessibility tech, home appliances or headsets, this international show with its 150,000 attendees has an ‘AI Everywhere’ (surprise!) theme. Attendees help both startups and established players to gain media and market attention and maybe even meet a few distribution partners or funders.  Here are 10 from this year’s show:

Six AgeTech Offerings from HLTH 2024

HLTH 2024 wrapped up last week in Las Vegas – where else?  AI was a big topic – transformational, embedded in health tech, capitalizing on the buzz. Or growing caution, concern about regulation, data quality issues, depending on the perspective. Others fretted about the state of healthcare in the US (not good), physician burnout (not good) and the health status of Americans, especially the mental health of young people (not good).  All these despite the promise of AI-enablement of laborious processes, hospital at home, conversational AI, new drugs, and many tech innovations. Looking through the exhibitor list, fifty-eight companies self-identified as AgeTech at HLTH.

The Future of AI in Senior Living and Care: What's Now and Next

Senior living and nursing home executives weigh in on the role that AI may currently offer and will likely play in the future. They see the potential to optimize their workforce and obtain better insights about their residents' needs.  Within a few years, AI will no longer be described as a separate category -- but its features of machine learning, customized vocabulary and conversational responses will be expected and provided.

Study: People don’t trust AI – but actually use it all the time

A new study offers a conundrum, or maybe a marketing problem.  Most Americans 50 and older don’t trust AI-generated health information, says a new poll published by the University of Michigan. But they do trust their own ability to figure out what information is good and what isn’t when they look for it.  They say they trust WebMD, Healthline. And yet only 32% said it was easy to find accurate health advice.  But how would you know what is accurate? And the 84% who said they got health information from a health care provider, pharmacist, friend or family member in the past year. A friend or family member?  Really?

AI is Working Today in Senior Living and Care

Exceeding expectations in every way.  The next report was going to be titled – “The Future of AI in Senior Living” but that was so yesterday.  One 2023 document, The Future of Artificial Intelligence in Senior Living offered up  the categories where it would/could be useful – including in remote home monitoring, and its ‘emerging’ categories of AI solutions for seniors and senior living communities.  The report referred to a 2023 study about how an AI algorithm could predict patients at highest risk for readmission to the hospital – using multiple data sources as inputs. No surprise – the algorithm’s recommendations were used, and the predictions and care recommendations enabled a 21% reduction of rehospitalization.

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