healthcare-cdss-patterns

name healthcare-cdss-patterns description Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows. Use when building clinical decision support — drug interaction checks, dose validation, clinical scoring, or alert severity. metadata {"version":"1.0.0","origin":"Health1 Super Speciality Hospitals — contributed by Dr. Keyur Patel"} 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: checkInteractions(newDrug, currentMeds, allergies) — Checks a new drug against current medications and known allergies. Returns severity-sorted InteractionAlert[] . Uses DrugInteractionPair data model. validateDose(drug, dose, route, weight, age, renalFunction) — Validates a prescribed dose against weight-based, age-adjusted, and renal-adjusted rules. Returns DoseValidationResult . 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 ↓ (returns alerts) EMR UI (displays alerts inline, blocks if critical) Drug Interaction Checking interface DrugInteractionPair { drugA : string ; // generic name drugB : string ; // generic name severity : 'critical' | 'major' | 'minor' ; mechanism : string ; clinicalEffect : string ; recommendation : string ; } function checkInteractions ( newDrug : string , currentMedications : string [], allergyList : string [] ): InteractionAlert [] { if (!newDrug) return []; const alerts : InteractionAlert [] = []; for ( const current of currentMedications) { const interaction = findInteraction (newDrug, current); if (interaction) { alerts. push ({ severity : interaction. severity , pair : [newDrug, current], message : interaction. clinicalEffect , recommendation : interaction. recommendation }); } } for ( const allergy of allergyList) { if ( isCrossReactive (newDrug, allergy)) { alerts. push ({ severity : 'critical' , pair : [newDrug, allergy], message : `Cross-reactivity with documented allergy: ${allergy} ` , recommendation : 'Do not prescribe without allergy consultation' }); } } return alerts. sort ( ( a, b ) => severityOrder (a. severity ) - severityOrder (b. severity )); } Interaction pairs must be bidirectional : if Drug A interacts with Drug B, then Drug B interacts with Drug A. Dose Validation interface DoseValidationResult { valid : boolean ; message : string ; suggestedRange : { min : number ; max : number ; unit : string } | null ; factors : string []; } function validateDose ( drug : string , dose : number , route : 'oral' | 'iv' | 'im' | 'sc' | 'topical' , patientWeight ?: number , patientAge ?: number , renalFunction ?: number ): DoseValidationResult { const rules = getDoseRules (drug, route); if (!rules) return { valid : true , message : 'No validation rules available' , suggestedRange : null , factors : [] }; const factors : string [] = []; // SAFETY: if rules require weight but weight missing, BLOCK (not pass) if (rules. weightBased ) { if (!patientWeight || patientWeight <= 0 ) { return { valid : false , message : `Weight required for ${drug} (mg/kg drug)` , suggestedRange : null , factors : [ 'weight_missing' ] }; } factors. push ( 'weight' ); const maxDose = rules. maxPerKg * patientWeight; if (dose > maxDose) { return { valid : false , message : `Dose exceeds max for ${patientWeight} kg` , suggestedRange : { min : rules. minPerKg * patientWeight, max : maxDose, unit : rules. unit }, factors }; } } // Age-based adjustment (when rules define age brackets and age is provided) if (rules. ageAdjusted && patientAge !== undefined ) { factors. push ( 'age' ); const ageMax = rules. getAgeAdjustedMax (patientAge); if (dose > ageMax) { return { valid : false , message : `Exceeds age-adjusted max for ${patientAge} yr` , suggestedRange : { min : rules. typicalMin , max : ageMax, unit : rules. unit }, factors }; } } // Renal adjustment (when rules define eGFR brackets and eGFR is provided) if (rules. renalAdjusted && renalFunction !== undefined ) { factors. push ( 'renal' ); const renalMax = rules. getRenalAdjustedMax (renalFunction); if (dose > renalMax) { return { valid : false , message : `Exceeds renal-adjusted max for eGFR ${renalFunction} ` , suggestedRange : { min : rules. typicalMin , max : renalMax, unit : rules. unit }, factors }; } } // Absolute max if (dose > rules. absoluteMax ) { return { valid : false , message : `Exceeds absolute max ${rules.absoluteMax} ${rules.unit} ` , suggestedRange : { min : rules. typicalMin , max : rules. absoluteMax , unit : rules. unit }, factors : [...factors, 'absolute_max' ] }; } return { valid : true , message : 'Within range' , suggestedRange : { min : rules. typicalMin , max : rules. typicalMax , unit : rules. unit }, factors }; } Clinical Scoring: NEWS2 interface NEWS2Input { respiratoryRate : number ; oxygenSaturation : number ; supplementalOxygen : boolean ; temperature : number ; systolicBP : number ; heartRate : number ; consciousness : 'alert' | 'voice' | 'pain' | 'unresponsive' ; } interface NEWS2Result { total : number ; // 0-20 risk : 'low' | 'low-medium' | 'medium' | 'high' ; components : Record < string , number >; escalation : string ; } Scoring tables must match the Royal College of Physicians specification exactly. Alert Severity and UI Behavior Severity UI Behavior Clinician Action Required Critical Block action. Non-dismissable modal. Red. Must document override reason to proceed Major Warning banner inline. Orange. Must acknowledge before proceeding Minor Info note inline. Yellow. Awareness only, no action required Critical alerts must NEVER be auto-dismissed or implemented as toast notifications. Override reasons must be stored in the audit trail. Testing CDSS (Zero Tolerance for False Negatives) describe ( 'CDSS — Patient Safety' , () => { INTERACTION_PAIRS . forEach ( ( { drugA, drugB, severity } ) => { it ( `detects ${drugA} + ${drugB} ( ${severity} )` , () => { const alerts = checkInteractions (drugA, [drugB], []); expect (alerts. length ). toBeGreaterThan ( 0 ); expect (alerts[ 0 ]. severity ). toBe (severity); }); it ( `detects ${drugB} + ${drugA} (reverse)` , () => { const alerts = checkInteractions (drugB, [drugA], []); expect (alerts. length ). toBeGreaterThan ( 0 ); }); }); it ( 'blocks mg/kg drug when weight is missing' , () => { const result = validateDose ( 'gentamicin' , 300 , 'iv' ); expect (result. valid ). toBe ( false ); expect (result. factors ). toContain ( 'weight_missing' ); }); it ( 'handles malformed drug data gracefully' , () => { expect ( () => checkInteractions ( '' , [], [])). not . toThrow (); }); }); Pass criteria: 100%. A single missed interaction is a patient safety event. Anti-Patterns Making CDSS checks optional or skippable without documented reason Implementing interaction checks as toast notifications Using any types for drug or clinical data Hardcoding interaction pairs instead of using a maintainable data structure Silently catching errors in CDSS engine (must surface failures loudly) Skipping weight-based validation when weight is not available (must block, not pass) Examples Example 1: Drug Interaction Check const alerts = checkInteractions ( 'warfarin' , [ 'aspirin' , 'metformin' ], [ 'penicillin' ]); // [{ severity: 'critical', pair: ['warfarin', 'aspirin'], // message: 'Increased bleeding risk', recommendation: 'Avoid combination' }] Example 2: Dose Validation const ok = validateDose ( 'paracetamol' , 1000 , 'oral' , 70 , 45 ); // { valid: true, suggestedRange: { min: 500, max: 4000, unit: 'mg' } } const bad = validateDose ( 'paracetamol' , 5000 , 'oral' , 70 , 45 ); // { valid: false, message: 'Exceeds absolute max 4000mg' } const noWeight = validateDose ( 'gentamicin' , 300 , 'iv' ); // { valid: false, factors: ['weight_missing'] } Example 3: NEWS2 Scoring const result = calculateNEWS2 ({ respiratoryRate : 24 , oxygenSaturation : 93 , supplementalOxygen : true , temperature : 38.5 , systolicBP : 100 , heartRate : 110 , consciousness : 'voice' }); // { total: 13, risk: 'high', escalation: 'Urgent clinical review. Consider ICU.' }