Usmle Case Generator

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

USMLE Case Generator

Generate USMLE Step 1 and Step 2 CK style clinical cases for medical education and board exam preparation.

When to Use

• Use this skill when the task is to Generate USMLE Step 1/2 style clinical cases with patient history, physical.
• 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

See ## Features above for related details.

• Scope-focused workflow aligned to: Generate USMLE Step 1/2 style clinical cases with patient history, physical.
• 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

• Python 3.8+
• No external API dependencies (template-based generation)
• Optional: LLM integration for case variation

Example Usage

See ## Usage above for related details.

cd "20260318/scientific-skills/Academic Writing/usmle-case-generator"
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.

Features

• Step 1 Cases: Basic science concepts, pathophysiology, pharmacology
• Step 2 Cases: Clinical diagnosis, management, next best steps
• Complete Vignettes: History, physical exam, labs, imaging
• Multiple Choice Questions: Single best answer format
• Answer Explanations: Detailed rationale for learning

Usage

# Generate a Step 1 case (pathophysiology focus)
python scripts/main.py --step 1 --topic cardiology --difficulty medium

# Generate a Step 2 case (clinical management focus)
python scripts/main.py --step 2 --topic nephrology --include-diagnosis

# Generate case with specific conditions
python scripts/main.py --step 2 --condition "diabetic ketoacidosis" --format json

Parameters

Topics Covered

• Cardiology
• Pulmonology
• Gastroenterology
• Nephrology
• Endocrinology
• Hematology/Oncology
• Infectious Disease
• Neurology
• Psychiatry
• Musculoskeletal
• Dermatology
• Obstetrics/Gynecology
• Pediatrics
• Surgery

Case Structure

Each generated case includes:

1. Patient Demographics: Age, gender, relevant background
2. Chief Complaint: Presenting problem
3. History of Present Illness: Detailed symptom timeline
4. Past Medical History: Relevant comorbidities
5. Medications: Current drug regimen
6. Allergies: Drug/environmental allergies
7. Family History: Genetic conditions
8. Social History: Smoking, alcohol, occupation
9. Physical Examination: Vital signs, relevant findings
10. Laboratory Studies: CBC, CMP, specific markers
11. Imaging/Diagnostics: X-ray, CT, ECG, etc.
12. Question: USMLE-style multiple choice
13. Answer Options: 5 choices (A-E)
14. Correct Answer: With detailed explanation
15. Educational Objectives: Key learning points

Output Formats

Text Format (Default)

Plain text suitable for printing or reading.

JSON Format

Structured data for integration with applications.

Markdown Format

Formatted for documentation or web display.

Technical Difficulty

High - Requires medical knowledge validation and clinical accuracy.

⚠️ Manual Review Required: Generated cases should be reviewed by medical professionals before use in high-stakes educational settings.