# Syllabus: AINS6102 AI for Clinical Decision Support

## Catalog Description

Designs clinical decision support systems with guideline modeling, safety, human factors, validation, and monitoring.

## Course Structure

Each week includes readings, a lecture/slide sequence, an executable lab, and an applied deliverable. Students maintain a reproducible project record and submit work through the LMS or GitHub workflow selected by the instructor.

## Weekly Schedule

| Week | Topic | Essential Question | Deliverable |
|------|-------|--------------------|-------------|
| 1 | Clinical decision support foundations | What role should AI play in clinician decision-making? | Lab notebook + assignment brief |
| 2 | Clinical knowledge and guideline modeling | How do guidelines become computable support? | Lab notebook + assignment brief |
| 3 | Diagnostic assistance and triage | How can AI support diagnosis without replacing clinical judgment? | Lab notebook + assignment brief |
| 4 | Treatment planning and personalization | How do patient-specific factors shape recommendations? | Lab notebook + assignment brief |
| 5 | Human factors and alert fatigue | How do interface choices affect clinical safety? | Lab notebook + assignment brief |
| 6 | Validation and clinical safety cases | What evidence is required for trustworthy support? | Lab notebook + assignment brief |
| 7 | Regulation, liability, and monitoring | Who is accountable when support systems fail? | Lab notebook + assignment brief |
| 8 | Clinical decision support review | What makes a CDS system ready for institutional review? | Lab notebook + assignment brief |

## Assessment

| Component | Weight |
|-----------|--------|
| Weekly labs and notebooks | 30% |
| Applied assignments | 35% |
| Participation and technical critique | 15% |
| Final synthesis portfolio | 20% |

## Graduate Expectations

Submissions must show technical reasoning, evidence awareness, clear limitations, and responsible use of AI assistance. Code and analysis should be reproducible enough for instructor review.