Prior Auth Is Breaking Doctors. A Free Tool Just Showed Up in r/medicine to Fix It.

Prior authorization — the process by which insurers decide whether to approve treatments before physicians can deliver them — consumes an estimated two working days per physician per week in the United States. It kills care plans, delays surgeries, and generates a paperwork burden so crushing that it has become the single most reliable way to get a doctor on Reddit talking about quitting medicine. So when a developer posted to r/medicine this week asking for three people to try a free tool that looks up exact payer criteria and drafts the authorization letter for them, the request had a specificity that most healthcare AI pitches lack.[¹]

The post is modest to a fault. No signup required. No pitch deck. Just a developer who built something, wants to watch real people use it, and is asking for feedback on a real submission. In a community where AI tools usually arrive with venture-backed fanfare and vague promises about transforming clinical workflows, the low-key ask was conspicuous — and not unintentionally so. The healthcare AI conversation on r/medicine has been running cool toward commercial tools, shaped in part by the accumulating evidence that many of them are built for administrators and sold to clinicians. A tool that sidesteps signup friction entirely reads, in that context, as a deliberate signal about whose problem is actually being solved.

This sits against a backdrop worth noting: a Nature study and a Wired investigation published in the same cycle found AI validating fake diseases and Meta's health chatbot drafting eating disorder advice. The clinical community processing those findings is the same community this developer just asked to test their tool. The contrast isn't lost on r/medicine — a community that has spent years watching AI arrive in healthcare with claims that don't survive contact with actual patients or actual insurance portals. What's different about this post isn't the technology; it's the ask. Not 'here's what AI can do for medicine' but 'here's a thing I built for a specific miserable task — does it actually work?'

The study published this week finding that AI systems will confirm illnesses that don't exist has deepened LLM skepticism among clinicians who were already cautious. That skepticism doesn't disappear because a developer shows up with good intentions. But prior auth occupies a specific position in the physician grievance hierarchy — it's paperwork, not diagnosis, and the stakes of an AI error are lower than in clinical reasoning. If the tool works, it works on a problem that matters. That's a narrower claim than most healthcare AI makes, and in r/medicine right now, narrower is more credible.