HHippocratic Club

Identity, Reputation and AI

The substrate: portable verified identity, a record of contribution that survives employers, and what human expertise is for once answers are free.

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3 Sep 2026 · 14 minutes

The Invisible Contribution Economy

95% of surveyed family physicians report requesting informal medical advice from colleagues, yet only 11% feel satisfied doing so. None of it appears in a CV, a promotion packet, or an RVU report. The record captures billing. It skips the work that actually holds medicine together.

19 Aug 2026 · 14 minutes

COI-Blind Expertise Discovery: The Expert Finder That Never Checks Payments

45% of 14,764 studied guideline authors had a financial conflict of interest, and among studies that checked, 32% had industry payments they never disclosed. The tool that finds the expert and the database that discloses the payment have never been joined.

18 Aug 2026 · 14 minutes

Evidence-Free Question Polling: What Do Other Centers Actually Do?

A median of only 11% of cardiology guideline recommendations rest on strong trial evidence; 48% rest on expert opinion alone. For that entire zone, medicine's only tools are anonymous crowd polls or a guideline process too slow to help this week.

17 Aug 2026 · 15 minutes

The Employer-Owned Career Record: A Career That Dies at Every Job Change

Only 11.3% of surgical residents call their case logs highly accurate, and the record is orphaned entirely at graduation. A pilot's logbook is owned by the pilot. A physician's procedural history belongs to whichever employer happened to be watching.

7 Aug 2026 · 15 minutes

Trusted By, Not Followed By: Medicine's Missing Trust Graph

Doximity can show a physician has 4,200 followers. Nobody can show who that physician actually calls when a case doesn't fit the textbook. The two numbers are not correlated, and medicine has never built the second one.

11 May 2026 · 18 minutes

AI Answered. Who Is Accountable?

81% of physicians now use AI in practice, up from 38% in 2023. One AI answer engine reports roughly 18 million clinical consultations a month. Roughly one in five LLM answers to oncology questions contains inaccurate information, and leading models elaborate on planted false clinical details in up to 83% of vignettes. Nothing routes from a questionable AI answer to an accountable human.

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