Delirium Onset Predictor Demo (24–72h) — with Misattribution / Underdiagnosis Detection

Standalone interactive prototype (no server). This illustrates the three outputs: forecast risk (24/48/72h), explanations, and misattribution risk (diagnostic drift / screening gap). It does not provide medical advice and is for demonstration only.

Patient and context

Risk modifiers (demo sliders)

Clinician narrative (misattribution signal)

Tip: include terms like dementia, opioids, benzodiazepine, just tired, baseline without a formal screen to raise misattribution risk.
Prototype logic: a transparent scoring model that mimics a calibrated ML layer. In production, this would be replaced by a trained, calibrated time-series model with uncertainty and drift monitoring.

Outputs

Delirium risk within 24h
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Delirium risk within 48h
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Delirium risk within 72h
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Forecast curve (next 72h)

The shaded band represents uncertainty (demo: wider when inputs are noisy / contradictory).

Explanation bundle

Prompt Rationale (demo)
Underdiagnosis alert logic (conceptual): triggers when misattribution risk is high and time-since-screening is high. It should prompt a formal screen and reversible-cause review, not assert a diagnosis.
Clinical concept, model and design: Michael Tremblay.
Intellectual property owner: Cassis Ltd. Copyright © 2026 Cassis Ltd. All rights reserved.
Publication of this demonstrator grants no licence for reproduction, adaptation, redistribution or commercial use without prior written permission, except as permitted by applicable law.

Audit panel (demo)

This panel illustrates what would be logged for quality improvement: alert timing, screening actions, and narrative drift.
Signal Value Interpretation