lay-summary-gen

name	lay-summary-gen
description	Converts complex medical abstracts into plain language summaries for patients, caregivers, and the general public. Ensures readability while maintaining scientific accuracy.

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

1. Basic Functionality: Standard input → Expected output
2. Edge Case: Invalid input → Graceful error handling
3. 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