Cognition Boxes forces clinical AI through seven transparent, non-skippable steps — with deterministic safety checks, a mandatory clinician gate and a tamper-evident audit trail.
Tap symptoms from 31 specialties, tick each red flag present or absent, and the boxes do the rest — red flags escalate the safety verdict, negatives are documented, and guideline-referenced workup lands in the plan.
Try it now →From raw intake to a signed plan and a patient leaflet — every step visible, every step sealed.
Vitals, labs, notes, ECG and imaging text and medications are ingested. Units are converted (µmol/L ↔ mg/dL, mmol/L ↔ mg/dL), negations understood (“no fever”), implausible values flagged as input drift.
Doses, interactions, renal limits, allergies and cumulative QT are checked by rules you can read — never by a model guessing. Same input, same verdict, every time.
Missing creatinine? A Data Completion box appears. Notes say “afebrile” but the thermometer says 39.2 °C? Contradiction Resolution locks the verdict to HALT. Shock physiology? Enhanced Safety applies sick-day rules.
Dashed boxes are inserted at run time by the Adaptive Cognition Pathway Engine.
A named clinician accepts, modifies or rejects every plan with a reason code. Only then are FHIR R4 orders produced. Overrides are tracked to learn where humans and machine disagree.
{ "resourceType": "MedicationRequest",
"status": "active",
"medication": "Doxycycline",
"dosage": "100 mg IV every 12 h",
"note": "authorised by Dr A. Clinician" }Every box seals a SHA-256 hash of its output into a linked, HMAC-sealed chain. Change one character after the fact and verification fails — the gate refuses to sign an altered run.
db65f4…a25097…7f266c…a0a6a3…1ac373…0a38cf…e11e27…1c5b87…✕ Entry 5 altered after sealing — chain broken.
Build a history in taps across 31 specialties. Every symptom carries its own red-flag checklist; present flags escalate the verdict, absent ones become pertinent negatives, and 1,533 guideline-referenced rules suggest the workup.
Three synthetic cases, three different verdicts. Open any of them in the live console.
Seven fixed steps and three adaptive inserts — Data Completion, Contradiction Resolution, Enhanced Safety.
Across 31 specialties, from gastroenterology to neonatology, each symptom with its own checklist.
Guideline-referenced investigations and management.
Formulary notes for medicines outside the interaction engine.
qSOFA, CURB-65, Glasgow-Blatchford, CHA₂DS₂-VA, CKD-EPI 2021, Cockcroft-Gault, KDIGO staging.
Baseline QTc plus every QT-prolonging drug, current and planned.
Only clinician-approved actions become MedicationRequest and ServiceRequest resources.
Any LLM or vision model can plug in and inherit the governance.
Stateless server; runs stay in the clinician’s browser.
Standardised, auditable decision support with reduced medico-legal exposure.
Transparent reasoning you can inspect, override and sign — in minutes.
Route your model through the boxes to inherit safety, oversight and audit.
A complete, verifiable record of every input, rule, verdict and human decision.
“The hard problems in clinical AI aren’t the models. They’re oversight and safe deployment at the workflow level.”
Not yet. This is a research demonstrator of a patent-pending governance architecture. It is designed to align with the EU AI Act and to follow the FDA SaMD pathway, but it has not been assessed or cleared by any regulator and must not be used for real patient care.
Partnerships, pilots and investment: doctoredgeinnovations@gmail.com