Database Design Review: Claude Sonnet
2 min read
Database Schema Design Review
Prepared by: Claude Sonnet Date: December 12, 2025
Executive Summary
Overall Assessment: ⚠️ Over-Engineered
The schema will technically work and can deliver the required functionality, but presents significant challenges.
| Aspect | Rating | Impact |
|---|---|---|
| Functionality | ✅ Will work | Can deliver features |
| Maintainability | ⚠️ Poor | High developer friction |
| Performance | ❌ Problematic | Requires extensive optimization |
| Complexity | ❌ Excessive | Steep learning curve |
| Scalability | ⚠️ Questionable | Architecture limitations |
Critical Issues
Issue #1: Excessive Normalization
Severity: 🟡 Medium
Single-field data has been separated into dedicated tables, creating unnecessary complexity.
Issue #2: Problematic Unique Constraints
Severity: 🔴 Critical - Production Blocker
EmailAddress1marked UNIQUE - will break for families sharing emailsInternalPIDunique inpatcom- only allows ONE comment per patient EVER
Issue #3: Audit Trail Overkill
Severity: 🟡 Medium
Every log table tracks 15+ fields per change, creating massive overhead with unclear benefit.
Recommendations
🔴 Critical Priority - Address Immediately
- Remove problematic unique constraints (EmailAddress1, patcom.InternalPID)
- Fix incomplete tables (add missing fields to
patrelation) - Document temporal field logic (CreateDate, EndDate, ArchivedDate, DelDate)
🟡 High Priority - Plan for Refactoring
- Simplify audit trails (reduce 15+ fields to 5-7 essential fields)
- Consolidate patient data (consider moving to main
patienttable)
Expected Benefits
| Metric | Value |
|---|---|
| Total Complexity Reduction | 40-50% |
| Developer Productivity Gain | 30-40% |
| Performance Improvement | 2-5x |
End of Report - Claude Sonnet, December 12, 2025