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AI Adoption in Home Care Is a Training Problem Before It Is a Tech Problem

Healthcare team in white coats at a meeting table with tablets and a laptop during a video training session

AI adoption in home care has moved past the curiosity stage. In a recent Home Health Care News pulse survey, 73.3% of home-based care providers said they are exploring AI use cases, piloting tools, or already using them in select departments. The harder finding sits a few lines further down: 40% of respondents said they have no formal AI training for employees. Only 20% rely on vendor-provided training, and another 20% run an internal program.

That gap matters more than which tool an agency picks. "The reason they fail wasn't because, for the most part, the solution didn't do what it needed to do. It was the adoption of the solution didn't actually happen," Greg Meyers, chief operating officer at TheKey, told Home Health Care News. Trisha Crissman of CommonSpirit Health at Home said her organization underestimated change management with ambient scribing, since clinicians used to documenting on a tablet had to get comfortable with a more conversational approach.

What makes AI adoption in home care stick

The providers HHCN surveyed leaned on the same few moves: phased rollouts before full integration, leaders who visibly endorse the tools, and super users or change champions inside each team. Tribute Home Care went a step further by asking each department leader to define where their team should be in two years, then building tools around that plan instead of starting with the technology. Framing the change as upskilling, not replacement, came up again and again.

There is a compliance reason to get this right, too. McKnight's Home Care reported on Oct. 9 that regulators increasingly use AI to spot irregular billing patterns, and compliance experts noted that many denials still come down to small technical misses like a missing signature or date. Tools that flag those issues before a claim goes out only help if staff trust them and use them. A practical place to start: pick one workflow, name one owner, set a short training plan, and keep a person reviewing anything that touches clinical decisions or billing.

CareSync® is built on a similar idea: coordination software should fit how a team already works and make every step easy to check. And if your agency is working through AI rollout right now, the field gets better when people compare notes. We are quietly building an invite-only space for home health professionals to do just that, and we hope it turns out to be genuinely useful.

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