Query Health

Medical Records Query Skill

Query records from the personal medical data center.

Core Flow

User Input -> Parse Query Type -> Read Index File -> Filter Records -> Format Output -> Summary Statistics

Step 1: Parse Query Type

Step 2: Read Index File

Read all record index information from data/index.json.

If the file does not exist, return "No medical records available".

Step 3: Filter Records

Filter records based on query type and read corresponding JSON files.

Biochemical Test Output Format

Date: YYYY-MM-DD
Test Type: Complete Blood Count
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Test Item          | Value | Unit    | Reference Range | Status
────────────────────────────────────────
White Blood Cell   | 6.5   | ×10^9/L | 3.5-9.5         | ✅ Normal
Hemoglobin         | 145   | g/L     | 130-175         | ✅ Normal
Platelet Count     | 189   | ×10^9/L | 125-350         | ✅ Normal

Imaging Study Output Format

Date: YYYY-MM-DD
Test Type: Ultrasound
Examined Area: Abdomen
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Findings:
[Description content]

Measurements:
- Size: XXX

Conclusion:
[Conclusion content]

Step 4: Summary Statistics

Add statistical information after query results:

• Total record count
• Biochemical test count
• Imaging study count
• Time span

Execution Instructions

1. Read data/index.json
2. Filter records based on query type
3. Read corresponding JSON files
4. Format output
5. Add summary statistics

Example Interactions

Query All Records

User: Query all records

Output:
📋 Medical Records Query Results
Total: 17 records
Biochemical tests: 12 records
Imaging studies: 5 records

Query Abnormal Indicators

User: Query abnormal indicators

Output:
📋 Abnormal Indicators Summary
Found 5 abnormal indicators
- Elevated uric acid (486 μmol/L)
- Elevated total cholesterol (6.2 mmol/L)
...

Query by Date

User: Query records for 2025-12

Output:
📋 December 2025 Records
Total: 3 test records
...