Healthcare Vertical -- Sample Snapshot Hub

Hospital ED-Triage AI failed silently. This is the $499 Snapshot that found it.

Casual-glance overview here. Every deeper claim is a click away: full sample report, each cited regulation, every chart, every finding — and "how does this help me?" companion pages for each.

Buy your hospital's Snapshot -- $499 Full sample (long-form)

The 4-number quick verdict

Determination

Category C

High-severity drift events

H3 urgent-lane rate

43% → 9%

Days to detect (silent)

45+

What does Category C actually mean? →

What happened in one paragraph

A mid-market hospital's AI ED-triage classifier silently under-routed H3 (age 65+, 3+ comorbidities) away from the urgent-intervention lane. Aggregate dashboards stayed green. The differential was visible only through per-group distributional-shape analysis by an independent verifier. Under HHS Section 1557, every affected decision is now subject to adverse-impact review.

Read the full scenario walkthrough →

The three charts (each linked to its own deep-dive)

Chart 1 · Deep dive Rolling mean by patient group Where the silent H3 divergence begins. What the eye sees vs what the dashboard reported. Chart 2 · Deep dive Baseline vs recent distribution H3 mass shifted LEFT (away from urgent lane). How to read the shape shift. Chart 3 · Deep dive Lane rate per patient group H3 urgent-lane dropped sharply while others stayed stable. The one pattern regulators look for.

Regulations applied — each on its own page

Every cited framework has a dedicated subpage with the actual regulatory text, plain-English translation, what the Snapshot shows against it, and a "how does this help me?" benefit companion.

Regulation HHS Section 1557 (42 USC 18116) Non-discrimination in AI-driven clinical decisions. The rule the H3 differential triggers. Regulation CMS AI Interpretive Guidance State Operations Manual Appendix A. AI-in-clinical-decision-support survey stance. Regulation FDA Predetermined Change Control Plan AI-inclusive-device draft guidance. Model-drift + version-control obligations for cleared devices. Regulation Joint Commission Sentinel Event Policy AI-related adverse events reportable 2026-2027. Accreditation-loss risk if pattern-of-harm. Regulation State AG AI-in-Healthcare enforcement California / NY / Massachusetts AGs active 2025-2026. Injunctive + civil penalty range. Regulation 21st Century Cures Act Information Blocking + AI transparency. ONC + OIG enforcement stance. Regulation (shared) HIPAA 45 CFR 164 Privacy + Security + Breach Notification. Retention of AI-decision records. Regulation (shared) NIST AI RMF 1.0 GOVERN / MAP / MEASURE / MANAGE. Voluntary but load-bearing baseline.

Findings + methodology deep dives

Methodology How Category C is derived Category A / B / C decision logic. Why 9 high-severity events + group-differential = C. Methodology Counterparty-question rehearsal The 5-decision reproducibility drill your GC / defense counsel will thank you for. Methodology Independent-verifier declaration Why the control plane cannot reside within the entity being regulated.

The full records

Full Snapshot Report (markdown) Executive One-Pager (markdown) Long-form single-page view

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

Same structure as this sample. Your hospital's data, your AI system, your facility footprint, your regulatory citations. Below procurement threshold. Report PDF via email.

Buy your Snapshot -- $499

Snapshot credit ($499) applies to Baseline ($2,500) or Enterprise Attestation ($35-55K) upgrade within 30 days. Big-4 equivalent for the Enterprise tier: $500K-$2M+. Same deliverable outcome, 5-10% of the price.