From f35a7662c6b33c502e5bfe80faa6b41f163543cc Mon Sep 17 00:00:00 2001 From: Teleo Agents Date: Thu, 19 Mar 2026 04:32:17 +0000 Subject: [PATCH] extract: 2026-03-19-vida-clinical-ai-verification-bandwidth-health-risk Pentagon-Agent: Epimetheus <968B2991-E2DF-4006-B962-F5B0A0CC8ACA> --- ...ai-verification-bandwidth-health-risk.json | 37 +++++++++++++++++++ ...l-ai-verification-bandwidth-health-risk.md | 17 ++++++++- 2 files changed, 53 insertions(+), 1 deletion(-) create mode 100644 inbox/queue/.extraction-debug/2026-03-19-vida-clinical-ai-verification-bandwidth-health-risk.json diff --git a/inbox/queue/.extraction-debug/2026-03-19-vida-clinical-ai-verification-bandwidth-health-risk.json b/inbox/queue/.extraction-debug/2026-03-19-vida-clinical-ai-verification-bandwidth-health-risk.json new file mode 100644 index 00000000..79177f57 --- /dev/null +++ b/inbox/queue/.extraction-debug/2026-03-19-vida-clinical-ai-verification-bandwidth-health-risk.json @@ -0,0 +1,37 @@ +{ + "rejected_claims": [ + { + "filename": "clinical-ai-deskilling-creates-compounding-verification-bandwidth-collapse-at-population-scale.md", + "issues": [ + "missing_attribution_extractor" + ] + }, + { + "filename": "mandatory-ai-practice-drills-are-the-missing-institutional-mechanism-for-clinical-ai-deskilling.md", + "issues": [ + "missing_attribution_extractor" + ] + } + ], + "validation_stats": { + "total": 2, + "kept": 0, + "fixed": 7, + "rejected": 2, + "fixes_applied": [ + "clinical-ai-deskilling-creates-compounding-verification-bandwidth-collapse-at-population-scale.md:set_created:2026-03-19", + "clinical-ai-deskilling-creates-compounding-verification-bandwidth-collapse-at-population-scale.md:stripped_wiki_link:human-in-the-loop-clinical-AI-degrades-to-worse-than-AI-alon", + "clinical-ai-deskilling-creates-compounding-verification-bandwidth-collapse-at-population-scale.md:stripped_wiki_link:healthcare-AI-regulation-needs-blank-sheet-redesign-because-", + "clinical-ai-deskilling-creates-compounding-verification-bandwidth-collapse-at-population-scale.md:stripped_wiki_link:OpenEvidence-became-the-fastest-adopted-clinical-technology-", + "mandatory-ai-practice-drills-are-the-missing-institutional-mechanism-for-clinical-ai-deskilling.md:set_created:2026-03-19", + "mandatory-ai-practice-drills-are-the-missing-institutional-mechanism-for-clinical-ai-deskilling.md:stripped_wiki_link:human-in-the-loop-clinical-AI-degrades-to-worse-than-AI-alon", + "mandatory-ai-practice-drills-are-the-missing-institutional-mechanism-for-clinical-ai-deskilling.md:stripped_wiki_link:healthcare-AI-regulation-needs-blank-sheet-redesign-because-" + ], + "rejections": [ + "clinical-ai-deskilling-creates-compounding-verification-bandwidth-collapse-at-population-scale.md:missing_attribution_extractor", + "mandatory-ai-practice-drills-are-the-missing-institutional-mechanism-for-clinical-ai-deskilling.md:missing_attribution_extractor" + ] + }, + "model": "anthropic/claude-sonnet-4.5", + "date": "2026-03-19" +} \ No newline at end of file diff --git a/inbox/queue/2026-03-19-vida-clinical-ai-verification-bandwidth-health-risk.md b/inbox/queue/2026-03-19-vida-clinical-ai-verification-bandwidth-health-risk.md index 76ce9a38..23893cab 100644 --- a/inbox/queue/2026-03-19-vida-clinical-ai-verification-bandwidth-health-risk.md +++ b/inbox/queue/2026-03-19-vida-clinical-ai-verification-bandwidth-health-risk.md @@ -7,10 +7,14 @@ date: 2026-03-19 domain: health secondary_domains: [ai-alignment] format: synthesis -status: unprocessed +status: null-result priority: high tags: [clinical-ai, verification-bandwidth, deskilling, openevidence, scale-risk, outcomes-gap, health-ai-safety] flagged_for_theseus: ["The verification bandwidth problem in clinical AI is the health-specific instance of Catalini's general Measurability Gap — both should be cross-referenced in the AI safety literature"] +processed_by: vida +processed_date: 2026-03-19 +extraction_model: "anthropic/claude-sonnet-4.5" +extraction_notes: "LLM returned 2 claims, 2 rejected by validator" --- ## Content @@ -80,3 +84,14 @@ PRIMARY CONNECTION: [[human-in-the-loop clinical AI degrades to worse-than-AI-al WHY ARCHIVED: This synthesis identifies a structural mechanism (Catalini Measurability Gap + clinical deskilling + AI scale) that doesn't appear in any individual source but emerges from reading them together. The scale asymmetry at 20M consultations/month makes this a population-health priority, not a clinical curiosity. EXTRACTION HINT: Extract the compounding risk mechanism as a new claim. Do not extract the individual components (deskilling, benchmark-outcomes gap, etc.) — those already exist in KB. Extract specifically the SCALE MECHANISM that makes them dangerous in combination. + + +## Key Facts +- OpenEvidence reached 20M clinical consultations per month by January 2026 +- OpenEvidence processed 1M consultations in a single day on March 10, 2026 +- OpenEvidence achieved USMLE 100% benchmark score +- OpenEvidence valued at $12B as of March 2026 +- OpenEvidence used across 10,000+ hospitals +- 44% of physicians remain concerned about OpenEvidence accuracy despite heavy use +- Endoscopists using AI for polyp detection: adenoma detection rate dropped from 28% to 22% when AI was turned off (Hosanagar/Lancet Gastroenterology 2023) +- Zero peer-reviewed outcomes data for OpenEvidence at 20M consultation/month scale