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name: healthcare-emr-patterns description: 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. origin: Health1 Super Speciality Hospitals — contributed by Dr. Keyur Patel version: "1.0.0"

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 Use

• 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

How It Works

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

Single-Page Encounter Flow

Clinical encounters should flow vertically on a single page — no tab switching:

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

Smart Template System

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.

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
  → If CRITICAL interaction: BLOCK prescribing entirely
  → Clinician must document override reason to proceed past a block
  → If MAJOR interaction: display warning, require acknowledgment
  → Log all alerts and override reasons in audit trail

Critical interactions block prescribing by default. The clinician must explicitly override with a documented reason stored in the audit trail. The system never silently allows a critical interaction.

Locked Encounter Pattern

Once a clinical encounter is signed:

• No edits allowed — only an addendum (a separate linked record)
• Both original and addendum appear in the patient timeline
• Audit trail captures who signed, when, and any addendum records

UI Patterns for Clinical Data

Vitals Display: Current values with normal range highlighting (green/yellow/red), trend arrows vs previous, clinical scoring auto-calculated (NEWS2, qSOFA), escalation guidance inline.

Lab Results Display: Normal range highlighting, previous value comparison, critical values with non-dismissable alert, collection/analysis timestamps, pending orders with expected turnaround.

Prescription PDF: One-click generation with patient demographics, allergies, diagnosis, drug details (generic + brand, dose, route, frequency, duration), clinician signature block.

Accessibility for Healthcare

Healthcare UIs have stricter 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
• 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 any type for clinical data structures

Examples

Example 1: Patient Encounter Flow

Doctor opens encounter for Patient #4521
  → Sticky