Position Statement 01-A
A clinical AI platform
that cannot account
for its own outcomes
has no business
operating in a hospital.

ETOH holds its systems to clinical evidence standards, not marketing standards. What we publish reflects both what the evidence supports and where it is still being built.

Clinical Research
Clinical Lab

The honest record of what ETOH does and does not change.

Clinical evidence for ETOH is built prospectively, in real deployment settings, against outcome measures that reflect actual clinical value.

We do not calibrate our research agenda to produce favorable results — we calibrate it to produce accurate ones, because accurate results are the only foundation on which a clinical platform can be responsibly scaled.

Primary Outcome Measures
Diagnostic cycle times
Reduction in mean time from ingestion to actionable diagnostic output.
Care pathway adherence
Statistical compliance with evidence-based clinical guidelines at scale.
Avoidable adverse events
Longitudinal monitoring of sentinel events and near-miss prevention.
Patient experience
Patient-reported experience measures across the full episode of care.

Publications

JAMA NEUROLOGY / 2024
Algorithmic Accountability in Acute Stroke Diagnosis
PDF
THE LANCET DIGITAL HEALTH / 2023
Real-world Validation of Autonomous Triage in ICU Settings
PDF

Outcome Studies

Active longitudinal studies evaluating clinical impact across 14 global health systems.

88%
Pathway Consistency
-22min
Mean Triage Latency

Deployment Validation Data

Facility TierMetricVerification
Tertiary Academic99.4% UptimeVerified
Community RuralEdge-Case AlertingVerified
Specialty SurgicalPathway AdherenceIn-Progress