Design dashboard layout sketches for clinical trials showing enrollment progress and adverse event rates
Design layout sketches for clinical trial data monitoring panels, displaying recruitment progress, AE incidence rates, and other key metrics.
python scripts/main.py [options]
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--study-id | string | STUDY-001 | No | Study ID |
--study-name | string | Clinical Trial A | No | Study Name |
--sites | int | 10 | No | Number of sites |
--target-enrollment | int | 100 | No | Target enrollment count |
--current-enrollment | int | 45 | No | Current enrollment count |
--ae-count | int | 12 | No | Adverse event count |
--output | string | dashboard.html | No | Output HTML file path |
# Generate default Dashboard
python scripts/main.py
# Customize study parameters
python scripts/main.py \
--study-id "PHASE-III-2024" \
--study-name "Phase III Clinical Trial of New Drug for Type 2 Diabetes" \
--sites 15 \
--target-enrollment 300 \
--current-enrollment 120 \
--ae-count 25 \
--output my_dashboard.html
Generates an HTML Dashboard containing the following modules:
Skill ID: 194
| 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 |
No additional Python packages required.