A recent Kaiser Family Foundation Health News investigation into the $50 billion Rural Health Transformation Program brought a simple truth into focus: the federal government is betting big on AI to solve rural healthcare’s hardest problems, and a lot of the patients this technology is meant to serve aren’t convinced.

“I get artificial intelligence for certain things, but for personal healthcare, no,” one Hot Springs, South Dakota resident told reporters. Another put it even more plainly: “AI will never replace a person.”

We don’t think they’re wrong to feel that way. And we don’t think the answer is to convince them otherwise. The answer is to build technology that never asks them to.

The gap between the hype and the evidence

The article surfaces something worth sitting with: despite the rush to deploy AI across rural health systems, the evidence that it actually improves access or outcomes is thin. A recent academic review found only 26 peer-reviewed studies on AI in rural healthcare published over 15 years, and few of those even looked at real-world implementation. A separate Stanford- and Harvard-led report described the industry’s AI adoption as “poorly evaluated” – tools tested in controlled settings, then deployed into communities they were never built for.

That gap matters more in rural America than almost anywhere else. As Qian Huang of East Tennessee State University’s Center for Rural Health and Research points out, most health AI is trained on data from urban patients who don’t share the same transportation barriers, connectivity issues, or care access challenges rural patients face every day. A tool that performs well in an academic medical center doesn’t automatically translate to a 25-bed hospital an hour from the nearest specialist.

Rural communities also carry something the data can’t easily capture: relationships. As Huang put it, “In rural communities, trust and a personal relationship is essential.” 

Skepticism does not have to be an obstacle

It would be easy to read patient hesitance as a marketing problem – something to overcome with better messaging. We see it differently. Skepticism toward AI in healthcare is a reasonable response to a reasonable fear: that technology will be used to paper over staffing shortages, cut corners, or insert itself between a patient and the person actually caring for them.

That fear tracks with what’s already happening. States are exploring AI for prescription refills, diagnostic suggestions, and triage decisions – real clinical territory – often without a clear plan for tracking whether patients are better off as a result. Some funding applications require organizations to report how many people used a tool, but not whether it saved them time, kept them out of the ER, or caught a problem early. Adoption isn’t the same as impact, and rural communities, who have the least room for wasted resources, are the ones bearing that risk.

Where we come down

This is exactly why we’ve built Sophie the way we have: as an extension of the care team, a guide alongside the people rural patients already trust.

The most telling detail in the reporting, to us, wasn’t the skepticism. It was what happened at Cherry County Hospital and Clinic in Valentine, Nebraska, where AI scribes are already in use. Patients who were initially wary let their own clinicians use the technology, because it meant more eye contact and less time spent talking to a screen. The trust didn’t come from the AI. It came from the relationship the AI was quietly supporting.

That’s the model. Sophie handles the check-ins, the reminders, the early signals that something needs attention – the moments that would otherwise fall through the cracks between visits, especially for patients managing distance, limited transportation, or thin local staffing. But the relationship, the judgment, and the care itself stay with the people rural patients already know.

We also take the evidence gap seriously. Technology that reaches rural communities without proof is a bet made with someone else’s health. We’d rather show up with outcomes than adoption numbers and we think every organization deploying AI in rural healthcare owes patients that same honesty.

Better care starts with better connection between patients and providers, between visits, between the moments that matter and the people who show up for them. AI can help hold that connection together. It can’t replace it and it shouldn’t try to.

Source: Patients Wary of Governments, Companies Pushing AI as a Rural Healthcare Solution, Arielle Zionts and Darius Tahir, Kaiser Family Foundation Health News, July 31, 2026.