AI and machine learning

Executives see the possibilities for AI in home care. Home care and home health care are labor intensive industries. Hands-on work is historically preceded and followed by paper-based documents and tracking tools. However, it is increasingly likely that home care companies will move quickly past ‘Year One’ of AI as the labor-saving benefits are seen and realized. Interviewees, including agencies and tech firms, note the changes underway. Some are engaged in various pilot projects of AI-enabled tools, others are doing implementations, still others are already deployed. For example, report discussions surfaced the following:

An AI tech agent on our behalf – predicted long ago. Consider the definition: “An AI agent is a system that perceives its environment, makes decisions, and takes actions to achieve specific goals, often autonomously.” At first look, that seems quite scary and is reminiscent of two quite predictive fictions:  HAL 9000 in 2001 (“Sorry, Dave, I can’t do that”) or the robot in the Robot and Frank (2012) that takes care of every need of a lonely man with dementia, then assists him in committing crimes.  

Moving in later can mean greater care needs, but same staffing levels.  This article caught my eye – ‘Significantly more difficult’ to care for today’s assisted living residents. The gist of the story is that people are moving in later, now in their mid-80’s and often because living at home is untenable. Which means they need more help and care than the organizations used to expect.  According to AHCA/NCAL: ”Four in 10 are living with Alzheimer’s disease or other dementias. After a median stay around 22 months, roughly 60% of residents will move out of assisted living to transition to a skilled nursing center.​” 

Conversation is becoming more interesting with ChatGPT 4.0.  For one thing, with its memory feature enabled, it easily inhales everything the conversationalist has ever said online, or even excludes the speaker’s previous remarks upon request. How can this be helpful to older adults? A tool that learns from multiple sources, aggregates if desired into a summary, incorporates links to sources, and then remembers the whole interchange – maybe that moves it into another tier of utility. The conversation could have been about travel possibilities, about transportation options, about more comfortable walking shoes – or brainstorming places to go on a future trip. Next interaction – do you want to hear what’s new in locations you viewed previously?

Some subjects are perennials – like robots for older adults.  Here we go again. This must be in some Fast Company editor’s standing list of topics – nothing else to write about so let’s do the robot-for-older-adults article again, this time written by futurists, comparing AI tech to physical robots – and asking real older adults what they think. You have to hand it to the interviewees – they know this is not a ‘robots’ topic. And they recognize ‘Advisor’ capability that already exists in Siri and Alexa – and that it is improving, though not (yet?) helping with human connections and isolation. 

The more things change – some trends dominate.   As the demographics change, couples age at different rates, life expectancy grows among the 65+ --averaging 20 more years, the oldest population growth rate outpaces younger demographic segments.  As the oldest baby boomer crosses 80 in the next few months several trends will drive technology adoption in distinctly new ways. As a result, the market for tech will need to accommodate a series of changes, sales methodologies and market opportunities.  A worsening labor shortage will continue to plague the senior care sectors, including senior living, nursing homes, and in-home care. What are the drivers that should attract innovators in the older adult tech industry?

Home care is a labor-intensive business. And as everyone can see, labor is increasingly a scarce resource, likely to seem ever more scarce -- as the boomers age into their 80’s and beyond, their population outpacing the growth of the care workforce. While there are many articles that will describe the 'aging tsunami' and worrisome lack of workers to care for the oldest, few technology solutions have entered this market up to now. How can AI tools participate appropriately in home care and home healthcare?  What are some of the circumstances that make this the right time to consider? And what are examples that indicate potential?  Suggestions of offerings and interviewees are welcome.