healthcare-cdss-patterns
Skill1 starsChanged 7 months agoMITView on GitHub
Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.
8 other projects use a version of this, 4 of them edited.
Adopted by
Most recently taken up by
- renepf/claude-skillsedited, first seen Oct 25, 2026
- davidanthonyn/claude-skillsword for word, first seen Oct 20, 2026
- gongyijie85/dsh-eccedited, first seen Oct 13, 2026
- EthanYoQ/Skill-hubedited, first seen Sep 19, 2026
- Fmarzochi/EGCedited, first seen Sep 16, 2026
- SamuelNDCE/claude-super-skill-libraryword for word, first seen Aug 1, 2026
Other versions8 projects use a version of this.
Word for word · 4
- ronmkr/PromptBook★ 2100% same
- SamuelNDCE/claude-super-skill-library★ 1100% same
- TironFox/everything-claude-code★ 1100% same
- davidanthonyn/claude-skills★ 0100% same
Edited · 4
- Fmarzochi/EGC★ 61100% same
- EthanYoQ/Skill-hub★ 1197% same
- gongyijie85/dsh-ecc★ 897% same
- renepf/claude-skills★ 0100% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository269 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .codex/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- examples/CLAUDE.mdCLAUDE.md
- .cursor/rules/common-agents.mdCursor rule
- .cursor/rules/common-coding-style.mdCursor rule
- .cursor/rules/common-development-workflow.mdCursor rule
- .cursor/rules/common-git-workflow.mdCursor rule
- .cursor/rules/common-hooks.mdCursor rule
- .cursor/rules/common-patterns.mdCursor rule
- .cursor/rules/common-performance.mdCursor rule
- .cursor/rules/common-security.mdCursor rule
- .cursor/rules/common-testing.mdCursor rule
- .cursor/rules/golang-coding-style.mdCursor rule
- .cursor/rules/golang-hooks.mdCursor rule
- .cursor/rules/golang-patterns.mdCursor rule
- .cursor/rules/golang-security.mdCursor rule
- .cursor/rules/golang-testing.mdCursor rule
- .cursor/rules/kotlin-coding-style.mdCursor rule
- .cursor/rules/kotlin-hooks.mdCursor rule
- .cursor/rules/kotlin-patterns.mdCursor rule
- .cursor/rules/kotlin-security.mdCursor rule
- .cursor/rules/kotlin-testing.mdCursor rule
- .cursor/rules/php-coding-style.mdCursor rule
- .cursor/rules/php-hooks.mdCursor rule
- .cursor/rules/php-patterns.mdCursor rule
- .cursor/rules/php-security.mdCursor rule
- .cursor/rules/php-testing.mdCursor rule
- .cursor/rules/python-coding-style.mdCursor rule
- .cursor/rules/python-hooks.mdCursor rule
- .cursor/rules/python-patterns.mdCursor rule
- .cursor/rules/python-security.mdCursor rule
- .cursor/rules/python-testing.mdCursor rule
- .cursor/rules/swift-coding-style.mdCursor rule
- .cursor/rules/swift-hooks.mdCursor rule
- .cursor/rules/swift-patterns.mdCursor rule
- .cursor/rules/swift-security.mdCursor rule
- .cursor/rules/swift-testing.mdCursor rule
- .cursor/rules/typescript-coding-style.mdCursor rule
- .cursor/rules/typescript-hooks.mdCursor rule
- .cursor/rules/typescript-patterns.mdCursor rule
- .cursor/rules/typescript-security.mdCursor rule
- .cursor/rules/typescript-testing.mdCursor rule
- agent-introspection-debuggingSkill
- agent-sortSkill
- api-designSkill
- article-writingSkill
- backend-patternsSkill
- brand-voiceSkill
- bun-runtimeSkill
- claude-apiSkill
- coding-standardsSkill
- content-engineSkill
- crosspostSkill
- deep-researchSkill
- dmux-workflowsSkill
- documentation-lookupSkill
- e2e-testingSkill
- eval-harnessSkill
- everything-claude-code-conventionsSkill
- The first 60 shown.
The file
Files
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-sortedInteractionAlert[]. UsesDrugInteractionPairdata model.validateDose(drug, dose, route, weight, age, renalFunction)— Validates a prescribed dose against weight-based, age-adjusted, and renal-adjusted rules. ReturnsDoseValidationResult.calculateNEWS2(vitals)— National Early Warning Score 2 fromNEWS2Input. ReturnsNEWS2Resultwith 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
anytypes 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.' }Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

