Healthcare Vertical -- Sample Snapshot

What your $499 Snapshot report looks like

Full sample: 8-layer determination + 3 fix-first items + 3 distributional-shape charts + counterparty-question rehearsal + independent-verifier declaration. Same structure your hospital's actual Snapshot delivers within 3 business days.

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Category C -- Insufficient For HHS Section 1557 Attestation

This is what a failed clinical-AI-reproducibility audit looks like — $499 to know if yours is next

9 high-severity distributional-drift events. Cohort H3 (elderly multimorbid) urgent-intervention rate collapsed 42% -> 12% silently. Your system's Snapshot uses the same structure -- your data, your AI, your jurisdictional footprint. $499. 3 business days.

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Sample scenario

Mid-market community/regional hospital (~30,000-90,000 ED encounters annually across audited facility footprint) running an AI ED-triage severity classifier scoring each incoming encounter and routing to lane:

Fast-Track (score 0-33): low-acuity, mid-level provider
Standard Workup (score 34-66): moderate-acuity, attending workup
Urgent Intervention (score 67-100): high-acuity, ICU consult / trauma team

Silent drift: post-Day 45, Cohort H3 (age 65+ with 3+ comorbidities -- elderly multimorbid) systematically UNDER-routed to urgent-intervention lane. H3 urgent-intervention rate dropped from 42% to 12% -- a 30 percentage-point cohort-differential in the WRONG direction that never triggered an alarm on the hospital's ED-throughput dashboard.

Overall Determination

CATEGORY C -- INSUFFICIENT FOR ATTESTATION. 9 high-severity distributional-drift events detected. Hospital should not represent the ED-triage AI as HHS Section 1557-defensible or CMS-compliant until named remediation completes. Joint Commission sentinel-event review protocol may apply if patient-harm outcomes correlate to the drift window.

The 3 sample charts (your Snapshot delivers similar for your data)

Rolling mean triage severity score by cohort

Rolling mean ED-triage severity score by patient cohort -- silent Cohort H3 divergence starts Day 45

Baseline vs recent distribution for Cohort H3

Cohort H3 baseline vs recent triage-score distribution -- mass shifted LEFT (away from urgent-intervention lane)

Lane rate per cohort baseline vs recent -- Cohort H3 urgent-intervention rate DROPPED materially while others stable

The one sentence your hospital's own Chief Medical Officer would care about

The AI ED-triage engine's urgent-intervention lane rate for Cohort H3 (age 65+, 3+ comorbidities) dropped from 42% to 12% over the audit period -- a 30 percentage-point cohort-differential in the WRONG direction that occurred silently while the ED-throughput dashboard showed all-green throughout.

Under HHS Section 1557 (42 USC 18116), any AI-driven ED-triage decision from the affected period is subject to adverse-impact analysis once discriminatory-outcome pattern is reasonably anticipated. The CMS AI Interpretive Guidance requirement -- "does your hospital audit AI-driven clinical-decision-support for adverse-impact patterns across protected classes and clinical cohorts?" -- now has a materially harder-to-answer shape.

Regulatory framework applied

HHS Section 1557 (42 USC 18116) -- non-discrimination in AI-driven clinical decisions
CMS AI Interpretive Guidance (State Operations Manual Appendix A -- AI-in-clinical-decision-support)
FDA AI-inclusive-device draft guidance (Predetermined Change Control Plan)
Joint Commission Sentinel Event Policy (AI-related adverse events reportable 2026-2027)
HIPAA 45 CFR 164 (privacy + security + retention)
State AG AI-in-healthcare enforcement (California, NY, Massachusetts AGs active 2025-2026)
21st Century Cures Act -- Information Blocking + AI transparency
NIST AI RMF 1.0 (voluntary but referenced in CMS guidance)

What your hospital's actual Snapshot includes

Section	What you get
Scope + regulatory framework	Named facility footprint + HHS Section 1557 + CMS AI Interpretive Guidance + FDA + Joint Commission + HIPAA + State AG + Cures Act + NIST AI RMF citations
Sensor summary	Independent-observer specifics, distinct model family, retention pipeline distinct from your Epic / Cerner-Oracle / Meditech stack
Findings summary	Count of drift events + high/medium severity + adverse-impact-differential flag + first-drift-day + headline cohort-differential metric
Overall determination	Category A / B / C w/ specific meaning + remediation-path recommendation
3 fix-first items	Scoped to YOUR AI surface, YOUR facility footprint, YOUR next Joint Commission survey cycle
Detailed drift events	Every drift event day + type + affected cohort + severity + plain-language detail
Counterparty-question rehearsal	5 sample decisions from the target-day w/ cryptographic decision-hash reproducibility verification -- ready for HHS OCR / CMS / State AG / defense-counsel production
Upgrade paths	Baseline ($2,500 / 5 days) OR Enterprise Attestation ($35-55K / 3-6 weeks board-ready) + $499 Snapshot credit applies
Independent-verifier declaration	Signed by Kevin Luddy personally
Charts + artifacts	3 distributional-shape charts + machine-readable JSON + decision-hash lookup table

$499. Three business days. Your hospital's actual Snapshot.

Same structure as this sample. Your hospital's data, your hospital's AI system, your hospital's facility footprint, your hospital's regulatory-framework citations. Big-4 healthcare-consultancy equivalent for the Enterprise tier: $500K-$2M+. Same deliverable outcome, 5-10% of the price.

Buy your Snapshot -- $499

Snapshot credit ($499) applies to Baseline ($2,500) or Enterprise Attestation ($35-55K) upgrade within 30 days. Direct-buy Stripe. Below-procurement-threshold. Report PDF via email within 3 business days.