Unna Health’s AI focus: Supporting coders where accuracy affects care

Why it matters: Medical coding may happen behind the scenes, but it shapes reimbursement, compliance, and patient outcomes. As AI enters this space, the stakes go far beyond efficiency, getting it right impacts both providers and the people they care for.

The big picture: Unna Health is building AI to support medical coders by spotting patterns, identifying risks, and simplifying the claims process. Founder Dave Wellman says the goal isn’t automation for its own sake, but AI that works alongside humans inside real workflows.

What they’re saying:

“It takes a much more nuanced and thoughtful approach to say, how do we enable this to get more value out of it, to make the jobs of these people easier, to make their results better. Because doctors’ livelihoods are on the line. It actually affects patients’ outcome and well-being,” Wellman says. “We want to empower these individuals. We want to make them better coders.”

What to expect: As AI becomes more common in healthcare operations, the most effective tools may be those designed as assistants, helping professionals navigate complexity rather than eliminating human judgment.

The bottom line: In healthcare, the bar is high to be right. Unna Health’s approach reflects a broader shift: AI that strengthens coders’ expertise instead of replacing essential work.

What’s next: Unna plans to stay narrowly focused on medical coding support, building deeper integrations that help coders adapt across payers, providers, and evolving protocols.