healthcare-cdss-patterns

Topics in the source

• Healthcare CDSS Development Patterns
• When to Use
• How It Works
• Drug Interaction Checking
• Dose Validation
• Clinical Scoring: NEWS2
• Alert Severity and UI Behavior
• Testing CDSS (Zero Tolerance for False Negatives)

Patterns for building Clinical Decision Support Systems that integrate into EMR workflows. CDSS modules are patient safety critical — zero tolerance for false negatives. 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 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. Interaction pairs must be bidire

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