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MentoLoop™ Clinical Education Platform Architecture
Path: mentoloop-gpt5-template/gpt5-convex-actions.ts
- AI-powered matching algorithm for student-preceptor pairing
- 10-factor weighted compatibility scoring (learning style, feedback preferences, autonomy)
- Tiered match classifications (Gold/Silver/Bronze)
- Clinical specialty alignment validation Importance Score: 95
Path: lib/supabase/services/clinicalHours.ts
- FIFO-based hour credit tracking system
- Specialty-specific hour requirement validation
- Automated progression checkpoints
- Rotation period management Importance Score: 90
Path: lib/supabase/services/payments.ts
- Clinical rotation payment workflows
- Tiered pricing model (Core/Pro/Premium)
- Revenue sharing calculations for preceptors
- Institution billing integration Importance Score: 85
Path: lib/middleware/security-middleware.ts
- PHI access tracking and audit logging
- Clinical data redaction system
- Healthcare-specific data validation
- Compliance reporting framework Importance Score: 90
Path: app/student-intake/page.tsx
- Clinical rotation requirements collection
- Program verification with institutions
- Learning style assessment
- Rotation scheduling preferences Importance Score: 85
Path: app/preceptor-intake/page.tsx
- Medical credential verification
- Clinical specialty validation
- Teaching style assessment
- Availability management Importance Score: 80
- HIPAA-compliant messaging system
- Clinical documentation templates
- Rotation hour banking system
- Automated clinical milestone tracking
- Institution compliance reporting
- Medical credential verification workflows
The platform implements sophisticated healthcare education workflows with strong emphasis on HIPAA compliance, clinical documentation, and AI-assisted mentorship matching.
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