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AI functionality is there today in healthcare, home care, and long-term care

The AI infrastructure juggernaut is on – consumers hesitate and deployment is cautious.   Parallel tracks are emerging. Investment by the big players in infrastructure (see Nvidia) is overwrought.  Even Oracle is jumping in with billions – as well as redirecting the company to be all-in on AI.  Today, 78% of companies say they are using AI in at least one business function. Meanwhile, back over in the real people corner, surveyed consumers continue to be surveyed and are cautious and concerned. Why the disconnect?  Mostly gloomy news coverage about AI.

Back over to businesses – consider the efforts underway today.  AI technology today is being used in all care settings to solve labor-intensive problems like paperwork and documentation.  For example, AI is ‘reshaping clinical decision-making at Penn Medical,’ adding AI agents to accomplish specific administrative work tasks, being used for diagnostic processes, reduce costs, help avoid clinician burnout.

Executives in senior living also see the opportunity…  As recent report interviews underpinned, AI is in use today across multiple aspects of senior living and nursing homes, including transcribing spoken and free-form notes, analyzing data to predict risk, combining data from multiple sensors to track health status and detect issues before they turn into crises. Already, AI is being implemented in a wide range of applications. Chatbots are being used to enhance resident engagement and streamline customer service. AI-powered content tools are assisting marketing teams. 

And in home care – even more potential. Today there are many more initiatives and new possibilities for addressing multiple aspects of both private duty home care and home health operations. These include assistance with recruiting and onboarding workers, using data to create and update care-related documents, and introducing AI agents that can be assigned to complete specific tasks. As current industry leaders note, AI tech is playing a role in care oversight and enabling the creating of hybrid models – an increasingly likely combination of in-person care supplemented with AI-enabled technology. 

Comments

I am not surprised about being cautious. When you commit to integrating a multichannel tech solution it is like a long term commitment. It's not unusual for tech providers to exit the market and user support along with it, when the biz model fails. Given said commitment and investment on user part, there's work to do in improving trust beyond the tech solution itself.   It applies to both for tech solutions for individuals and care providers.

One example that comes to mind are the tech-pets for older adults. After a few years they were discontinued, leaving many users heartbroken over their no longer working 'pets'.  Another consideration, will the tech solution perform and be supported during extreme heat, cold, or other environmental crisis?

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