AI won't win the prior-auth fight 🥊, Mayo accused of hiding an AI's error rate 🙈, Cognitive Atrophy
Hello -
Good to be with you again. (I might be a little spotty for a bit though.)
Anyway, I thought it might be a good time to try a different section, so here it is.
⚡ Around the Wards
A former Mayo Clinic research director says the system buried a 67% AI error rate — a federal whistleblower suit alleges hidden error rates, bypassed IRB review, and retaliation. (↓ Builder’s Radar.)
AI won’t win the prior-auth fight — the useful product isn’t an appeal bot; it’s the preflight check that finds missing evidence before you submit.
A robot now aims the TMS coil — ZETA’s FDA 510(k) tracks patient motion and auto-corrects coil position mid-treatment; “navigation → robotics” is a repeatable product ladder.
🔬 The Big Thing
Everybody’s selling AI that “ends” prior auth. What if the fight is the one thing they can’t touch?
A piece this week said the quiet part out loud: prior authorization is a fight, AI won’t end it, and vendors should stop pretending otherwise.
Strip the pitch and here’s the structural truth. Prior auth isn’t an administrative accident — it’s a cost-control valve, and the denial is the point.
The AMA’s latest survey has physicians completing about 39 prior auths a week and burning roughly 13 hours of staff time on them. Nearly a third say PAs are “often or always” denied — yet 82% of the denials that get appealed are overturned.
That gap is the tell. No payer voluntarily unplugs a machine that saves it billions, so “our AI eliminates prior auth” is a fantasy no CFO believes.
The number a CFO does believe: “we raise your first-pass approval rate by checking the payer’s own published criteria before you ever submit.” That’s a workflow you can build — and CMS is handing you the data layer. The interoperability and prior-authorization rule (CMS-0057-F) forces impacted payers to stand up FHIR-based prior-auth APIs by 2027 — a machine-readable list of exactly what documentation earns a yes.
😤 “So the takeaway is: don’t build prior-auth tools?” Opposite. Build the one that wins fights, not the one that pretends to end them. The market for “faster, higher approval, less staff time” is enormous and real. The market for “we made the payer stop saying no” is zero.
😤 “Publish the criteria via FHIR and payers just make the rules more baroque.” Probably, in places — that’s the arms race, and it’s exactly why your wedge is the pre-submission check, not the appeal. A denial you prevented is worth more than one you overturn three weeks later, and cheaper than the 13 hours. Just assume the goalposts move and instrument for it.
😤 “A lot of plumbing for a boring problem.” Boring problems with a ten-figure valve bolted on top are where the durable companies get built.
📡 Builder’s Radar
A marquee health system stands accused of hiding its AI’s error rate — and that’s the whole ballgame for trust.
A former Mayo Clinic research-operations director has sued the system in federal court, alleging she was demoted and then fired after flagging AI-safety and compliance problems — including, per the complaint, administrators concealing a 67% error rate in an internal AI tool, bypassed IRB reviews, and mishandled patient data. (Minnesota Public Radio has the local detail.)
The allegations are unproven and Mayo will contest them. But the shape of the claim is the signal: the fight is no longer whether the model is accurate — it’s whether anyone is allowed to see the error rate, and whether the person who flags it keeps their job.
“Cleared” and “validated” are point-in-time; the real error rate is a moving number someone has to be allowed to watch. Transparency about failure modes just became legal exposure, not a nice-to-have.
😤 “This is an HR retaliation case, not an AI story.” It’s both — and that’s why it matters. The courts are about to put a price on burying an AI failure mode, and that number sets the incentive for every governance committee watching. Build the auditable error log now, while it’s still your choice.
🎙️ From the Pods
🎙️ Relentless Health Value — “Cognitive Atrophy and Referral Incentives Breaking Primary Care” (EP519, with Lisa Rosenbaum, MD) (Relentless Health Value)
When you force clinicians to refer everything and check boxes instead of exercising judgment, the skills go dormant — and we could be facing a generational loss of primary-care competence.
💬 Standout Quote
“If we just blame everything on a structural inevitability, we strip ourselves of our own agency.” — Lisa Rosenbaum, MD
🔇 Speaker Blindspot: Omitted variable — the episode pins cognitive atrophy on referral incentives and structural forces but never names the newest accelerant: AI documentation and decision support that check the boxes for the clinician. If de-skilling is the disease, “the tool does it for you” is a co-morbidity the conversation skips.
📅 Upcoming Interesting Health IT Events
Tue Jul 21 — Becker’s AI + Digital Health Virtual Event (Becker’s Healthcare)
1:00 PM CST · Virtual · Free to register · Sessions archived
The most on-topic event on the calendar — a half-day on AI and digital health in care delivery. Worth registering now even though it’s a few weeks out.
Tue–Thu Jul 28–30 — KLAS Arch Collaborative Learning Summit (KLAS Research)
Salt Lake City, UT · In-person · Registration required
Now open to non-members: the definitive gathering on clinician EHR experience — the ground truth for anyone building tools clinicians will actually adopt.
What are you building this week? Email and tell me (kevin@clinicians.build) — I read every one.
— Kevin