In clinical medicine, “wrong” can be lethal. NanoCERN enforces safety by classifying every potential risk into one of six Negative Knowledge Unit (NKU) Classes. This taxonomy provides a deterministic framework for hospital-grade decision support.
🟥 Class I: Dose Violation
Definition: State exceeds safe dosage limits.
- Variables: `daily_dose_mg`, `mg_per_kg`.
- Enforcement: Immediate rejection of any order exceeding documented safety thresholds (e.g., Paracetamol > 4000mg/24h).
🟧 Class II: Organ Function Violation
Definition: Organ function below safety threshold for a specific drug.
- Variables: `egfr_ml_min` (kidney), `liver_function`.
- Enforcement: Blocks drugs like Ibuprofen in patients with renal impairment (low eGFR).
🟨 Class III: Population Violation
Definition: Demographics outside the approved/safe population.
- Variables: `age`, `pregnancy_status`.
- Enforcement: Blocks Aspirin in pediatric viral cases to prevent Reye’s syndrome.
🟦 Class IV: Interaction Violation
Definition: Concurrent drugs create an unsafe combination.
- Variables: `concurrent_medications`.
- Enforcement: Detects “collisions” like Warfarin + Aspirin which create catastrophic bleeding risks.
🟪 Class V: Temporal Violation
Definition: Time-dependent safety boundary exceeded.
- Variables: `time_since_last_dose`, `cumulative_duration`.
- Enforcement: Prevents opioid accumulation by enforcing minimum intervals between doses.
⚫ Class VI: Absolute Contraindication
Definition: Conditions where a drug must NEVER be used.
- Variables: Binary exclusions (Allergy, Metabolic Acidosis).
- Enforcement: Non-decaying rejections. These rejections are permanent and non-negotiable (e.g., Metformin in severe acidosis).
Deterministic Resilience
Unlike current hospital “alerts” which suffer from fatigue and high false-positive rates, NanoCERN’s 6-Class Taxonomy is based on Structural Rejection. It provides an immutable audit trail for every safety decision made.
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