healthcare-cdss-patterns

# Healthcare CDSS Development Patterns Patterns for building Clinical Decision Support Systems that integrate into EMR workflows. CDSS modules are patient safety critical — zero tolerance for false negatives. ## When to Use - Implementing drug interaction checking - Building dose validation engines - Implementing clinical scoring systems (NEWS2, qSOFA, APACHE, GCS) - Designing alert systems for abnormal clinical values - Building medication order entry with safety checks - Integrating lab result interpretation with clinical context ## How It Works The CDSS engine is a **pure function library with zero side effects**. Input clinical data, output alerts. This makes it fully testable. Three primary modules: 1. **`checkInteractions(newDrug, currentMeds, allergies)`** — Checks a new drug against current medications and known allergies. Returns severity-sorted `InteractionAlert[]`. Uses `DrugInteractionPair` data model. 2. **`validateDose(drug, dose, route, weight, age, renalFunction)`** — Validates a prescribed dose against weight-based, age-adjusted, and renal-adjusted rules. Returns `DoseValidationResult`. 3. **`calculateNEWS2(vitals)`** — National Early Warning Score 2 from `NEWS2Input`. Returns `NEWS2Result` with total score, risk level, and escalation guidance. ``` EMR UI ↓ (user enters data) CDSS Engine (pure functions, no side effects) ├── Drug Interaction Checker ├── Dose Validator ├── Clinical Scoring (NEWS2, qSOFA, etc.) └── Alert Classifier ↓ (return...