Patient Recruitment Ad Gen

Source: https://github.com/aipoch/medical-research-skills

Patient Recruitment Ad Generator

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

When to Use

• Use this skill when the task is to Generate ethical, compliant, and patient-friendly recruitment advertisements for clinical trials.
• Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format.
• Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.

Key Features

• Scope-focused workflow aligned to: Generate ethical, compliant, and patient-friendly recruitment advertisements for clinical trials.
• Packaged executable path(s): scripts/main.py.
• Reference material available in references/ for task-specific guidance.
• Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

See ## Prerequisites above for related details.

• Python: 3.10+. Repository baseline for current packaged skills.
• Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

See ## Usage above for related details.

cd "20260318/scientific-skills/Academic Writing/patient-recruitment-ad-gen"
python -m py_compile scripts/main.py
python scripts/main.py --help

Example run plan:

1. Confirm the user input, output path, and any required config values.
2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
3. Run python scripts/main.py with the validated inputs.
4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

• Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
• Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
• Primary implementation surface: scripts/main.py.
• Reference guidance: references/ contains supporting rules, prompts, or checklists.
• Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
• Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Quick Check

Use this command to verify that the packaged script entry point can be parsed before deeper execution.

python -m py_compile scripts/main.py

Audit-Ready Commands

Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.

python -m py_compile scripts/main.py
python scripts/main.py --help

Workflow

1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

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.

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