dvcrn Lay Summary Gen
Generates plain-language summaries of medical research for non-expert audiences.
Features
- Complex to simple language conversion
- Jargon elimination
- Reading level optimization (Grade 6-8)
- Key takeaways extraction
- EU CTR compliance support
Input Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
abstract |
str | Yes | Original medical abstract |
target_audience |
str | No | "patients", "public", "media" |
max_words |
int | No | Maximum word count (default: 250) |
Output Format
{
"lay_summary": "string",
"reading_level": "string",
"key_takeaways": ["string"],
"word_count": "int",
"jargon_replaced": [{"term": "plain"}]
}
Risk Assessment
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
Security Checklist
- No hardcoded credentials or API keys
- No unauthorized file system access (../)
- Output does not expose sensitive information
- Prompt injection protections in place
- Input file paths validated (no ../ traversal)
- Output directory restricted to workspace
- Script execution in sandboxed environment
- Error messages sanitized (no stack traces exposed)
- Dependencies audited
Prerequisites
No additional Python packages required.
Evaluation Criteria
Success Metrics
- Successfully executes main functionality
- Output meets quality standards
- Handles edge cases gracefully
- Performance is acceptable
Test Cases
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- Performance: Large dataset → Acceptable processing time
Lifecycle Status
- Current Stage: Draft
- Next Review Date: 2026-03-06
- Known Issues: None
- Planned Improvements:
- Performance optimization
- Additional feature support