Patient Recruitment Ad Gen

Patient Recruitment Ad Generator

Generate ethical, compliant, and patient-friendly recruitment advertisements for clinical trials.

Purpose

This skill helps researchers, CROs, and medical institutions create patient recruitment advertisements that meet Institutional Review Board (IRB) / Ethics Committee (EC) requirements while being accessible and encouraging to potential participants.

When to Use

• Creating recruitment ads for clinical trials
• Drafting patient information sheets
• Preparing materials for IRB/EC submission
• Translating complex medical protocols into patient-friendly language

Key Compliance Requirements

Essential Elements (IRB/EC Standards)

1. Trial Identity

   • Study title or identifier
   • Sponsor information (if required)

2. Purpose Statement

   • Clear description of the research
   • Why the study is being conducted

3. Eligibility Criteria

   • Inclusion criteria (who can participate)
   • Exclusion criteria (who cannot participate)

4. Study Procedures

   • What participants will do
   • Time commitment required
   • Number of visits

5. Risks and Benefits

   • Potential risks/discomforts
   • Potential benefits (direct and societal)
   • Statement that benefits are not guaranteed

6. Confidentiality

   • How personal information is protected
   • Regulatory oversight mention

7. Voluntary Participation

   • Right to withdraw at any time
   • No penalty for withdrawal
   • No impact on regular medical care

8. Contact Information

   • Principal Investigator
   • Study coordinator
   • IRB/EC contact for questions about rights

Prohibited Content

• Promises of cure or guaranteed benefits
• Undue influence (excessive payment, coercion)
• Misleading language ("free treatment" when experimental)
• Stigmatizing terms ("sufferers," "victims")
• Pressure tactics (limited spots, urgency)

Usage

Input Parameters

{
    "disease_condition": str,        # Target disease/condition
    "study_phase": str,              # Phase I/II/III/IV
    "intervention_type": str,        # Drug, device, procedure, etc.
    "target_population": str,        # Demographics, age range
    "study_duration": str,           # Expected time commitment
    "site_location": str,            # Study site location
    "compensation": Optional[str],   # Participant payment (if any)
    "pi_name": str,                  # Principal Investigator
    "contact_info": str,             # Phone/email for inquiries
    "irb_reference": str             # IRB/EC approval number
}

Example

python /Users/z04030865/.openclaw/workspace/skills/patient-recruitment-ad-gen/scripts/main.py \
    --disease "Type 2 Diabetes" \
    --phase "Phase II" \
    --intervention "Investigational oral medication" \
    --population "Adults 18-65 with T2DM" \
    --duration "12 weeks, 6 clinic visits" \
    --location "City Medical Center, Building C" \
    --pi "Dr. Sarah Chen" \
    --contact "(555) 123-4567 or diabetes-study@cmc.edu" \
    --irb "IRB-2024-001"

Output

Generates a structured recruitment ad with:

• Headline (attention-grabbing, compliant)
• Study summary (plain language)
• Who can participate (eligibility)
• What's involved (procedures)
• Rights and protections (ethics)
• Contact information

Technical Notes

• Difficulty: Medium
• Language: Patient-friendly (6th-8th grade reading level)
• Tone: Respectful, informative, empowering
• Format: Print, digital, or social media ready
• Compliance: Based on FDA, EMA, CIOMS, and ICH-GCP guidelines

References

See references/ folder for:

• fda_guidance.md - FDA guidance on informed consent
• ema_guidelines.md - European ethics requirements
• ich_gcp.md - ICH-GCP E6(R2) recruitment provisions
• plain_language_guide.pdf - NIH Plain Language guidelines
• template_examples/ - Sample ads for different therapeutic areas

Safety & Ethics

• Always include voluntary participation statement
• Never guarantee therapeutic benefit
• Ensure readability for target population
• Review with IRB/EC before use
• Avoid therapeutic misconception

Technical Difficulty: Medium
Category: Pharma / Clinical Research
Last Updated: 2026-02-05

Risk Assessment

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