Healthcare Cdss Patterns

affaan-m/ECC/skills/healthcare-cdss-patterns

作者 affaan-mef648e01899ba3e8dc6371642deaaf64b4477775无许可证275K 个星标收录于 2026年10月9日更新于 2026年10月9日仓库4天前更新

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.

AI 生成的概览

构建临床决策支持模块的模式:药物相互作用检查、剂量校验、临床评分与警报严重度分级。

功能
提供接入 EMR 工作流的临床决策支持模块的开发模式与 TypeScript 示例。内容涵盖药物相互作用检查、结合体重、年龄与肾功能的剂量校验、NEWS2 与 qSOFA 等临床评分,以及警报严重度分级与对应的界面行为。文档还说明了患者安全关键代码的测试要求与反模式。
适用场景
适用于在 EMR 中实现或评审临床决策支持功能时,例如药物相互作用检查、剂量校验引擎、临床评分系统或警报处理。适合需要参考模式与安全规则而非可直接运行库的开发者。
运行要求
无需脚本或运行时依赖,仅为说明性文档。示例假定使用 TypeScript 或 JavaScript 环境,药物相互作用数据、剂量规则与评分表由使用者自行提供。

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  ↓ (returns alerts)EMR UI (displays alerts inline, blocks if critical)

Drug Interaction Checking

typescript
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

typescript
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

typescript
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

SeverityUI BehaviorClinician Action Required
CriticalBlock action. Non-dismissable modal. Red.Must document override reason to proceed
MajorWarning banner inline. Orange.Must acknowledge before proceeding
MinorInfo 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)

typescript
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

typescript
const alerts = checkInteractions('warfarin', ['aspirin', 'metformin'], ['penicillin']);// [{ severity: 'critical', pair: ['warfarin', 'aspirin'],//    message: 'Increased bleeding risk', recommendation: 'Avoid combination' }]

Example 2: Dose Validation

typescript
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

typescript
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.' }

来源与署名

来源:affaan-m/ECC位于skills/healthcare-cdss-patterns提交ef648e0

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