Emergency Card

3. Multiple Output Formats

Supports various output formats for different scenarios:

• HTML Format: Printable web page using Tailwind CSS and Lucide icons (recommended)
• JSON Format: Structured data for system integration
• Text Format: Concise and readable, suitable for printing and carrying
• PDF Format: Professional printing, suitable for long-term storage

HTML Format

Generates a standalone HTML file including:

• Tailwind CSS styling (via CDN)
• Lucide icons (via CDN)
• Responsive design
• Print optimization
• Multiple size variants (A4, wallet card, large print)
• Automatic card type detection (standard, child, elderly, severe allergy)

Usage:

# Generate standard card
python scripts/generate_emergency_card.py

# Specify card type
python scripts/generate_emergency_card.py standard
python scripts/generate_emergency_card.py child
python scripts/generate_emergency_card.py elderly
python scripts/generate_emergency_card.py severe

# Specify print size
python scripts/generate_emergency_card.py standard a4       # A4 standard
python scripts/generate_emergency_card.py standard wallet   # Wallet card
python scripts/generate_emergency_card.py standard large    # Large print (elderly)

Output file: emergency-cards/emergency-card-{variant}-{YYYY-MM-DD}.html

4. Offline Availability

• Supports saving to phone (photos, files)
• Supports printing for carrying (wallet, bag)
• Supports cloud backup (optional)

Usage Instructions

Trigger Conditions

Use this skill when the user mentions the following scenarios:

• "Generate an emergency medical information card"
• "I'm traveling, how can I quickly provide medical information"
• "Organize my allergy information into a card"
• "Emergency first-aid information"
• "Prepare materials for a doctor visit"
• "Medical information summary"

Execution Steps

Step 1: Read User Base Data

Read information from the following data sources:

// 1. User profile
const profile = readFile('data/profile.json');

// 2. Allergy history
const allergies = readFile('data/allergies.json');

// 3. Current medications
const medications = readFile('data/medications/medications.json');

// 4. Radiation records
const radiation = readFile('data/radiation-records.json');

// 5. Surgical records (search for implants)
const surgeries = glob('data/surgical-records/**/*.json');

// 6. Discharge summaries (search for acute conditions)
const dischargeSummaries = glob('data/discharge-summaries/**/*.json');

Step 2: Extract Key Information

2.1 Basic Information

const basicInfo = {
  name: profile.basic_info?.name || "Not set",
  age: calculateAge(profile.basic_info?.birth_date),
  gender: profile.basic_info?.gender || "Not set",
  blood_type: profile.basic_info?.blood_type || "Unknown",
  weight: `${profile.basic_info?.weight} ${profile.basic_info?.weight_unit}`,
  height: `${profile.basic_info?.height} ${profile.basic_info?.height_unit}`,
  bmi: profile.calculated?.bmi,
  emergency_contacts: profile.emergency_contacts || []
};

2.2 Severe Allergies

// Filter for grade 3-4 severe allergies
const criticalAllergies = allergies.allergies
  .filter(a => a.severity_level >= 3 && a.current_status.status === 'active')
  .map(a => ({
    allergen: a.allergen.name,
    severity: `Allergy ${getSeverityLabel(a.severity_level)} (Grade ${a.severity_level})`,
    reaction: a.reaction_description,
    diagnosed_date: a.diagnosis_date
  }));

2.3 Chronic Disease Diagnoses

// Extract diagnosis information from chronic disease management data
const chronicConditions = [];

// Hypertension
try {
  const hypertensionData = readFile('data/hypertension-tracker.json');
  if (hypertensionData.hypertension_management?.diagnosis_date) {
    chronicConditions.push({
      condition: 'Hypertension',
      diagnosis_date: hypertensionData.hypertension_management.diagnosis_date,
      classification: hypertensionData.hypertension_management.classification,
      current_bp: hypertensionData.hypertension_management.average_bp,
      risk_level: hypertensionData.hypertension_management.cardiovascular_risk?.risk_level
    });
  }
} catch (e) {
  // File does not exist or read failed, skip
}

// Diabetes
try {
  const diabetesData = readFile('data/diabetes-tracker.json');
  if (diabetesData.diabetes_management?.diagnosis_date) {
    chronicConditions.push({
      condition: diabetesData.diabetes_management.type === 'type_1' ? 'Type 1 Diabetes' : 'Type 2 Diabetes',
      diagnosis_date: diabetesData.diabetes_management.diagnosis_date,
      duration_years: diabetesData.diabetes_management.duration_years,
      hba1c: diabetesData.diabetes_management.hba1c?.history?.[0]?.value,
      control_status: diabetesData.diabetes_management.hba1c?.achievement ? 'Well controlled' : 'Needs improvement'
    });
  }
} catch (e) {
  // File does not exist or read failed, skip
}

// COPD
try {
  const copdData = readFile('data/copd-tracker.json');
  if (copdData.copd_management?.diagnosis_date) {
    chronicConditions.push({
      condition: 'COPD',
      diagnosis_date: copdData.copd_management.diagnosis_date,
      gold_grade: `GOLD Grade ${copdData.copd_management.gold_grade}`,
      cat_score: copdData.copd_management.symptom_assessment?.cat_score?.total_score,
      exacerbations_last_year: copdData.copd_management.exacerbations?.last_year
    });
  }
} catch (e) {
  // File does not exist or read failed, skip
}

2.4 Current Medications

// Include only active medications
const currentMedications = medications.medications
  .filter(m => m.active === true)
  .map(m => ({
    name: m.name,
    dosage: `${m.dosage.value}${m.dosage.unit}`,
    frequency: getFrequencyLabel(m.frequency),
    instructions: m.instructions,
    warnings: m.warnings || []
  }));

2.4 Medical Conditions

Extract diagnosis information from discharge summaries:

const medicalConditions = dischargeSummaries
  .flatMap(ds => {
    const data = readFile(ds.file_path);
    return data.diagnoses || [];
  })
  .map(d => ({
    condition: d.condition,
    diagnosis_date: d.date,
    status: d.status || "Under follow-up"
  }));

2.5 Implants

Extract implant information from surgical records:

const implants = surgeries
  .flatMap(s => {
    const data = readFile(s.file_path);
    return data.procedure?.implants || [];
  })
  .map(i => ({
    type: i.type,
    implant_date: i.date,
    hospital: i.hospital,
    notes: i.notes
  }));

2.6 Recent Radiation Exposure

const recentRadiation = {
  total_dose_last_year: calculateTotalDose(radiation.records, 'last_year'),
  last_exam: radiation.records[radiation.records.length - 1]
};

Step 3: Generate Information Card

Organize information by priority:

const emergencyCard = {
  version: "1.0",
  generated_at: new Date().toISOString(),
  basic_info: basicInfo,
  critical_allergies: criticalAllergies.sort(bySeverityDesc),
  current_medications: currentMedications,
  medical_conditions: [...medicalConditions, ...chronicConditions], // Merge acute and chronic conditions
  implants: implants,
  recent_radiation_exposure: recentRadiation,
  disclaimer: "This information card is for reference only and does not replace professional medical diagnosis",
  data_source: "my-his Personal Health Information System",
  chronic_conditions: chronicConditions // Separate field for easy access
};

Step 4: Format Output

JSON Format

Output structured JSON data directly.

Text Format

Generate a readable text card:

+===========================================================+
|              EMERGENCY MEDICAL INFORMATION CARD            |
+===========================================================+
| Name: John Doe                    Age: 35                  |
| Blood Type: A+                    Weight: 70kg             |
+===========================================================+
| SEVERE ALLERGIES                                           |
| --------------------------------------------------------- |
| * Penicillin - Anaphylaxis (Grade 4) CRITICAL             |
|   Reaction: Dyspnea, laryngeal edema, loss of             |
|   consciousness                                           |
+===========================================================+
| CURRENT MEDICATIONS                                        |
| --------------------------------------------------------- |
| * Amlodipine 5mg - Once daily (Hypertension)              |
| * Metformin 1000mg - Twice daily (Diabetes)                |
+===========================================================+
| CHRONIC CONDITIONS                                         |
| --------------------------------------------------------- |
| * Hypertension (Diagnosed 2023-01-01, Grade 1, Controlled)|
|   Average BP: 132/82 mmHg                                 |
| * Type 2 Diabetes (Diagnosed 2022-05-10, HbA1c 6.8%)      |
|   Control Status: Good                                     |
| * COPD (Diagnosed 2020-03-15, GOLD Grade 2)               |
|   CAT Score: 18                                            |
+===========================================================+
| OTHER CONDITIONS                                           |
| --------------------------------------------------------- |
| (Other acute conditions or surgical diagnoses, if any)     |
+===========================================================+
| IMPLANTS                                                   |
| --------------------------------------------------------- |
| * Cardiac Pacemaker (Implanted 2022-06-10)                 |
|   Hospital: XX Hospital                                    |
|   Note: Regular follow-up required, avoid MRI              |
+===========================================================+
| EMERGENCY CONTACTS                                         |
| --------------------------------------------------------- |
| * Jane Doe (Spouse) - 138****1234                          |
+===========================================================+
| DISCLAIMER                                                 |
| This card is for reference only and does not replace       |
| professional medical diagnosis                             |
| Generated: 2025-12-31 12:34:56                             |
+===========================================================+

QR Code Format

Convert JSON data to a QR code image:

const qrCode = generateQRCode(JSON.stringify(emergencyCard));
emergencyCard.qr_code = qrCode;

Step 5: Save File

Save the file in the user's chosen format:

// JSON format
saveFile('emergency-card.json', JSON.stringify(emergencyCard, null, 2));

// Text format
saveFile('emergency-card.txt', generateTextCard(emergencyCard));

// QR code format
saveFile('emergency-card-qr.png', emergencyCard.qr_code);

Step 6: Output Confirmation

Emergency medical information card generated successfully.

File location: data/emergency-cards/emergency-card-2025-12-31.json
Generated at: 2025-12-31 12:34:56

Included information:
━━━━━━━━━━━━━━━━━━━━━━━━━━
- Basic information (name, age, blood type)
- Severe allergies (1 grade-4 allergy)
- Current medications (2 medications)
- Medical conditions (2 conditions)
- Implants (1 item)
- Emergency contacts (1 person)

Recommendations:
━━━━━━━━━━━━━━━━━━━━━━━━━━
- Save the JSON file to your phone's cloud storage
- Save the QR code to your phone's photo album
- Print the text version and carry it with you
- Update the information before traveling

Important Notes:
━━━━━━━━━━━━━━━━━━━━━━━━━━
- This information card is for reference only and does not replace professional medical diagnosis
- Update regularly (recommended every 3 months or when health information changes)
- If you have severe allergies, carry an allergy emergency card at all times

Data Sources

Primary Data Sources

• data/profile.json: User basic information, blood type, emergency contacts
• data/allergies.json: Allergy history and severity grading
• data/medications/medications.json: Current medication plan and dosages

Chronic Disease Data Sources

• data/hypertension-tracker.json: Hypertension management data (diagnosis date, classification, BP control, target organ damage, cardiovascular risk)
• data/diabetes-tracker.json: Diabetes management data (type, HbA1c, blood glucose control, complication screening)
• data/copd-tracker.json: COPD management data (GOLD grade, CAT score, exacerbation history, pulmonary function)

Supplementary Data Sources

• data/radiation-records.json: Recent radiation exposure records
• data/surgical-records//*.json**: Surgical implant information
• data/discharge-summaries//*.json**: Medical diagnosis information

Optional Data Sources

• data/index.json: Global data index

Safety Principles

Must Follow

• Do NOT add medication recommendations (only list current medications)
• Do NOT provide diagnostic conclusions (only list known diagnoses)
• Do NOT give treatment advice (does not replace a physician)
• Include disclaimer (for reference only)

Information Accuracy

• Only extract recorded information (do not speculate or infer)
• Label information source and last updated time
• Recommend regular information updates

Privacy Protection

• Sensitive information can be optionally hidden
• Phone numbers partially masked (e.g., 138****1234)
• All data stored locally only

Error Handling

Missing Data

• Missing allergy data: Output "No allergy history recorded"
• Missing medication data: Output "No current medications recorded"
• Missing implant data: Output "No implants"

File Read Failure

• Cannot read profile.json: Use default values (name: Not set)
• Cannot read allergies.json: Skip allergy information
• Continue generating other information: Do not abort due to a single file failure

QR Code Generation Failure

• Fall back to text format output
• Prompt the user to record information manually

Example Output

For a complete example, see examples.md.

Test Data

Test data files are located at test-data/emergency-example.json.

Format Reference

For detailed output format specifications, see formats.md.