Two to three years ago, investors were telling startups that clinical coding would be fully automated by LLMs within a year — which didn’t quite turn out to be true. Healthcare’s revenue cycle has turned out to be stubbornly resistant to easy technological fixes, but AI can still make real progress, according to Lee Kupferman, Co-CEO of R1’s innovation lab. AI makes the most impact when it’s used to handle straightforward, high-volume work, freeing humans for the cases that actually need their expertise, Kupferman noted during an interview at HFMA’s annual conference in National Harbor, Maryland.
Read the full article: What Is AI Getting Right — and Wrong — in Healthcare’s Revenue Cycle? //
Source: https://medcitynews.com/2026/06/rcm-ai-r1/