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New skills: - healthcare-emr-patterns: EMR/EHR encounter workflows, smart templates, medication safety, clinical UI patterns - healthcare-phi-compliance: PHI/PII protection patterns, RLS templates, leak vector checklist, audit trail patterns - healthcare-cdss-patterns: Drug interaction checking, dose validation, clinical scoring (NEWS2/qSOFA), alert severity - healthcare-eval-harness: Patient safety CI/CD gate — CDSS accuracy, PHI exposure, data integrity, clinical workflows New agent: - healthcare-reviewer: Clinical safety reviewer for CDSS accuracy, PHI compliance, medical data integrity All patterns are generalized and framework-agnostic. Applicable to any health-tech stack. Origin: Health1 Super Speciality Hospitals, Ahmedabad, India.
5.1 KiB
5.1 KiB
name, description, origin, version, observe, feedback, rollback
| name | description | origin | version | observe | feedback | rollback |
|---|---|---|---|---|---|---|
| healthcare-emr-patterns | EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry. | Health1 Super Speciality Hospitals — contributed by Dr. Keyur Patel | 1.0.0 | PostToolUse | manual | git revert |
Healthcare EMR Development Patterns
Patterns for building Electronic Medical Record (EMR) and Electronic Health Record (EHR) systems. Prioritizes patient safety, clinical accuracy, and practitioner efficiency.
When to Activate
- Building patient encounter workflows (complaint → exam → diagnosis → prescription)
- Implementing clinical note-taking (structured + free text + voice-to-text)
- Designing prescription/medication modules with drug interaction checking
- Integrating Clinical Decision Support Systems (CDSS)
- Building lab result displays with reference range highlighting
- Implementing audit trails for clinical data
- Designing healthcare-accessible UIs for clinical data entry
Core Principles
1. Patient Safety First
Every design decision must be evaluated against: "Could this harm a patient?"
- Drug interactions MUST alert, not silently pass
- Abnormal lab values MUST be visually flagged
- Critical vitals MUST trigger escalation workflows
- No clinical data modification without audit trail
2. Single-Page Encounter Flow
Clinical encounters should flow vertically on a single page — no tab switching during patient interaction:
Patient Header (sticky — always visible)
├── Demographics, allergies, active medications
│
Encounter Flow (vertical scroll)
├── 1. Chief Complaint (structured templates + free text)
├── 2. History of Present Illness
├── 3. Physical Examination (system-wise)
├── 4. Vitals (auto-trigger clinical scoring)
├── 5. Diagnosis (ICD-10/SNOMED search)
├── 6. Medications (drug DB + interaction check)
├── 7. Investigations (lab/radiology orders)
├── 8. Plan & Follow-up
└── 9. Sign / Lock / Print
3. Smart Template System
Build templates for common presentations:
interface ClinicalTemplate {
id: string;
name: string; // e.g., "Chest Pain"
chips: string[]; // clickable symptom chips
requiredFields: string[]; // mandatory data points
redFlags: string[]; // triggers non-dismissable alert
icdSuggestions: string[]; // pre-mapped diagnosis codes
}
Red flags in any template must trigger a visible, non-dismissable alert — NOT a toast notification.
4. Medication Safety Pattern
User selects drug
→ Check current medications for interactions
→ Check encounter medications for interactions
→ Check patient allergies
→ Validate dose against weight/age/renal function
→ Display alerts (critical = block, major = require override reason)
→ Log override reason if clinician proceeds
Critical interactions should block prescribing by default. The clinician must explicitly override with a documented reason.
5. Locked Encounter Pattern
Once a clinical encounter is signed:
- No edits allowed — only addendum
- Addendum is a new record linked to the original
- Both original and addendum appear in the patient timeline
- Audit trail captures who signed, when, and any addenda
UI Patterns for Clinical Data
Vitals Display
- Current values with normal range highlighting (green/yellow/red)
- Trend arrows comparing to previous measurement
- Clinical scoring auto-calculated (NEWS2, qSOFA, MEWS)
- Scoring result displayed inline with escalation guidance
Lab Results Display
- Normal range highlighting with institution-specific ranges
- Previous value comparison (trend)
- Critical values flagged with non-dismissable alert
- Timestamp of collection and analysis
- Pending orders shown with expected turnaround
Prescription PDF
- One-click generation
- Patient demographics, allergies, diagnosis
- Drug name (generic + brand), dose, route, frequency, duration
- Clinician signature block
- QR code linking to digital record (optional)
Accessibility for Healthcare
Healthcare UIs have stricter accessibility requirements than typical web apps:
- 4.5:1 minimum contrast (WCAG AA) — clinicians work in varied lighting
- Large touch targets (44x44px minimum) — for gloved/rushed interaction
- Keyboard navigation — for power users entering data rapidly
- No color-only indicators — always pair color with text/icon (colorblind clinicians)
- Screen reader labels on all form fields — for voice-assisted data entry
- No auto-dismissing toasts for clinical alerts — clinician must actively acknowledge
Anti-Patterns
- ❌ Storing clinical data in browser localStorage
- ❌ Silent failures in drug interaction checking
- ❌ Dismissable toasts for critical clinical alerts
- ❌ Tab-based encounter UIs that fragment the clinical workflow
- ❌ Allowing edits to signed/locked encounters
- ❌ Displaying clinical data without audit trail
- ❌ Using
anytype for clinical data structures