Cypress Living also updated its life safety system using the Nobi smart lamp in 2022. The lamp uses computer vision AI to detect falls quickly and augments that with a typical pendent button.
Nobi CEO Roeland Pelgrims said the device lowers intervention time for falls. He emphasized that the reason some organizations have high intervention times isn’t because their staff isn’t good at delivering care, but because they can only help if they know help is needed. Another benefit is that because residents are less afraid of falling, they become more active; as a result, they fall less.
Finally, his organization has paired the generative AI feature of Microsoft Copilot with retrieval-augmented generation (RAG) to build chatbots for its clinicians and staff. HUGO is a chatbot designed to help nurses and frontline worker find information about the organization’s clinical care pathways. It can look up what to do when caring for a patient with specific chronic conditions. Dex, a chatbot for weekend staff, has been trained on the organization’s policies and procedures and can answer questions about how to handle specific situations that may arise, such as a leaky roof.
READ MORE: Harness the power of Copilot for Microsoft 365 in healthcare.
“The beauty of RAG is that you can take your internal procedures and documents that you know to be accurate and bring them into a database that is indexed with other tools. It gets tied into a generative pretrained transformer [GPT] to help create an immediate response that you know is good,” said Rahner.
Senior care leaders are also using generative AI for more straightforward use cases such as writing a plan of correction, transcribing care planning meetings or producing meeting summaries through Zoom.
“Rather than having someone sitting on the side taking notes, they can now be empowered to be part of the team,” said Foor.
At Givens Communities, Foor and his team rolled out an “AI piloteers” program that encourages employees to integrate generative AI tools, such as a chatbot in Microsoft Copilot, into their workflows. According to Foor, in the first 90 days of the program, 60% of participants used AI in their normal workflow weekly (if not daily), and 56% said AI increased their efficiency.
How to Best Implement AI in the Aging-Services Sector
Sarah Thomas, CEO at staffing solutions company MezTal, prefers to center the human experience when considering AI, rather than taking a technology-first approach.
“It’s not so much about what AI is doing, but about what we can do more effectively or efficiently to live better, healthier lives,” she said.
AI can make a difference in senior living and post-acute care organizations’ ability to retain employees. Thomas recommended that senior care leaders focus on how they can make employees lives better by automating rote tasks and reducing the need for overtime, while also emphasizing that they are not being replaced. AI can allow staff to be more efficient through greater insights related to organizational and clinical data.
“AI can level the playing field,” added Velderman. “If you give AI tools to someone who plays at a C level, they can become a B player. You’re elevating their skills by giving them a tool.”
However, Thomas emphasized the importance of understanding the “why” that’s driving the organization and being able to articulate that across the entire staff. Having buy-in from end users will better ensure implementation success, more so than pushing it from the top down with no explanation of how it will help staff.
It’s important to communicate transparently with residents about how organizations are using their data, said Velderman, while also sharing the “why” — for example, that it helps in maintaining an older adult’s independence for as long as possible or in providing preventive care.
“We have to break down the mainstream message about AI being bad,” he said. “We’re fighting an uphill battle.”
EXPLORE: How can AI and automation transform processes for senior care providers?
Velderman explained that technologists need to understand organizational processes at a granular level to create transformational change. They also need to know the business goals and desired ROI before they begin to automate processes with AI tools.
In addition, the organization needs solid data governance in place as “AI is only as good as the information provided to it,” he said. Cypress Living built a data lake with raw data from enterprise apps and layered that with AI to create contextual answers (rather than generic answers) based on its operations. He added that the ability to engineer effective prompts is also an important part of AI success.
“People in your organization are already using it whether you know it or not. It can be a liability to organizations. Get in front of it, and empower your employees with some guardrails, but embrace it,” said Foor. “Then your team will look to you for guidance. Having someone in the organization guiding AI use is my recommendation.”
Ultimately, Velderman said, the point of AI is to provide the right data at the right time to the right person so they can provide the right care at the right time.
“A few years from now, people will be able to have great results just by having great intentions,” said Pelgrims, who says he’s optimistic that it will make life easier without first making it hard. “That’s the magical transformation of AI.”
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