Schedule Validator

Schedule Validator Skill

Comprehensive validation of residency schedules for compliance, coverage, and operational feasibility.

Two Truths: Prescriptive vs Descriptive

CRITICAL CONTEXT: Understand which truth you're validating.

Validation should check half_day_assignments (descriptive truth) because that's what will actually be deployed. However, unexpected divergence from templates may indicate bugs.

Alignment Check (NEW)

When prescriptive and descriptive diverge, verify it's intentional:

If divergence exists without valid source explanation → investigate as potential bug.

When This Skill Activates

• After schedule generation completes
• Before finalizing a new schedule version
• When investigating schedule-related complaints
• During pre-deployment verification
• When checking impact of swaps or changes

Validation Phases

Phase 1: Structure Validation

Check 1.1: Data Integrity

• All assignments have required fields (resident, rotation, date)
• Dates are valid and within academic year
• No duplicate assignments for same resident/date
• All referenced residents/rotations exist

Check 1.2: Coverage Completeness

For each day/rotation:
1. Count assigned residents
2. Compare to minimum required
3. Flag under-coverage with shortfall count

Check 1.3: Timeline Consistency

• Rotations don't exceed maximum duration
• Transitions between rotations are valid
• No gaps in rotation coverage
• Block boundaries honored

Phase 2: ACGME Compliance Validation

Delegate to acgme-compliance skill for:

• 80-hour rule verification
• 1-in-7 rule verification
• Supervision ratio validation
• Duty period limit checking

Summarize findings:

• Total violations found
• Total warnings found
• Resolution status (fixed/pending)

Phase 3: Operational Feasibility

Check 3.1: Staffing Reality

For each rotation:
1. Verify requested faculty are actually available
2. Check for double-booking of faculty
3. Confirm skill matches (credentialed staff only)

Check 3.2: Rotation Continuity

For each resident:
1. No more than 2 consecutive same rotation
2. Adequate rotation variety
3. Educational requirements met

Check 3.3: Coverage Stability

For each critical rotation:
1. N-1 redundancy available?
2. Can single absence be absorbed?
3. Are backups cross-trained?

Phase 4: Quality Metrics

Metric 4.1: Distribution Fairness

For each resident:
1. Count rotations assigned
2. Check against expected distribution
3. Identify overloaded/underloaded residents

Metric 4.2: Work Load Balance

For each week:
1. Calculate average hours per resident
2. Identify outlier weeks
3. Check for clustering

Metric 4.3: Schedule Predictability

1. Check weekly patterns consistent
2. Identify unexpected variations
3. Assess resident planning difficulty

Validation Report Structure

## Schedule Validation Report

**Schedule ID:** [ID]
**Period:** [Date Range]
**Overall Status:** [VALID / WARNINGS / INVALID]

### Validation Summary
- Data integrity: [PASS/FAIL]
- ACGME compliance: [PASS/FAIL/VIOLATIONS]
- Operational feasibility: [PASS/FAIL]
- Quality metrics: [PASS/FAIL]

### Issues Found

#### Critical Issues (Block Deployment)
1. [Issue description]
   - Affected: [Who/What]
   - Fix: [Required action]

#### Warnings (Operational Impact)
1. [Issue description]
   - Impact: [Consequence]
   - Resolution: [Recommended fix]

#### Recommendations (Optimization)
1. [Suggestion for improvement]

### Coverage Analysis
- Minimum staffing: [Numbers]
- Average coverage: [Numbers]
- Gap days: [If any]

### ACGME Summary
- 80-hour violations: [Count]
- 1-in-7 violations: [Count]
- Supervision violations: [Count]

### Success Criteria
- [ ] No data integrity errors
- [ ] ACGME fully compliant
- [ ] All rotations adequately covered
- [ ] No impossible coverage patterns

Integration with Other Skills

With acgme-compliance

• Calls acgme-compliance for detailed rule verification
• Summarizes findings for report
• Requests specific remediation if violations found

With safe-schedule-generation

• Run after schedule generation
• Identify unfeasible schedules early
• Provide feedback for regeneration

With swap-execution

• Validate proposed swap doesn't break schedule
• Check coverage remains adequate after swap

Quick Validation Commands

# Full schedule validation
python -m app.scheduling.validator --schedule_id=current --full

# ACGME only
python -m app.scheduling.validator --schedule_id=current --acgme-only

# Coverage analysis only
python -m app.scheduling.validator --schedule_id=current --coverage-only

# Export validation report
python -m app.scheduling.validator --schedule_id=current --export=pdf

Validation Checklist

• No duplicate assignments
• All dates valid and within academic year
• All residents referenced exist
• All rotations referenced exist
• Coverage gaps identified and counted
• ACGME compliance verified
• Staffing coverage adequate
• Rotation continuity acceptable
• Work load reasonably balanced
• Schedule is operable in practice
• source column audit: Verify preloads preserved, manual overrides have source='manual'
• Prescriptive/descriptive alignment: Unexpected divergence from templates explained by valid source

Error Handling

If validation fails catastrophically:

1. Check if schedule data is corrupt
2. Verify database connection
3. Compare with previous known-good schedule
4. Request manual validation review

If coverage gaps exist:

1. Count shortage (how many needed)
2. Identify which dates/rotations affected
3. Suggest mitigation options
4. Decide: fix or accept operational risk

If ACGME violations found:

1. Document specific violations
2. Identify affected residents
3. Request acgme-compliance skill for remediation
4. Don't approve schedule without compliance

References

• ACGME Common Program Requirements
• See PROMPT_LIBRARY.md for validation templates
• Schedule verification checklist in schedule-verification skill