1. EdMedAI Is Built Around NMC Regulations
Most medical education software is built as a generic learning management system (LMS) and then configured for medical colleges. EdMedAI is different — it was designed from the NMC regulations outward. Every feature in the platform exists because an NMC regulation requires it. The 2,683 competency codes, the DOAP four-stage model, the Annexure 5 hour targets, the AETCOM portfolio, the FAP three-phase tracking, the geofenced attendance, the 75%/80% compliance reporting — every one of these is a first-class feature in EdMedAI, not a workaround or manual process.
EdMedAI does not use Moodle, Canvas, or any generic LMS at its core. The entire platform was architected specifically for the NMC CBME framework — meaning the data model, the reporting logic, and the user workflows are all native implementations of NMC requirements, not adaptations of systems designed for other purposes.
2. UG CBME Regulations — Feature Map
| NMC Regulation / Requirement | EdMedAI Feature |
|---|---|
| 2,683 NMC competency codes across 19 UG subjects | Complete competency database — every code, domain (K/KH/SH/P), subject, and phase pre-loaded and maintained |
| DOAP pedagogy — Demonstrate, Observe, Assist, Perform tracking | Four-stage DOAP tracker with faculty sign-off per student per competency; HOD approval gate before certification |
| Annexure 5 hour targets — NMC 2024 subject hour requirements | Hour targets stored as first-class DB entities; real-time tracking against actual logged teaching sessions; Annexure 5 compliance report generated on demand |
| AETCOM — Attitudes, Ethics and Communication module | AETCOM portfolio with theme tracking per phase, reflective entry submission, and faculty review workflow |
| FAP — Family Adoption Programme (Phases I–III) | Three-phase FAP tracking per student-family pair with visit documentation, health records, and faculty attestation |
| ECE — Early Clinical Exposure (Phase I) | ECE session logging with location, date, supervisor, and learning reflection per Phase I student |
| Attendance — 75% (UG) / 80% (clinical) | Geo-fenced session-based attendance; real-time shortfall alerts; NMC-compliant 75%/80% compliance dashboard |
| Internal Assessment — theory, practical, viva | Online quiz system, OSCE digital marking, theory exam upload and grading — all linked to competency codes |
| Digital logbook | NMC-format logbook with timestamped faculty sign-off, UHID-level fraud detection, and instant inspection reports |
3. PG PGMER 2023 — Feature Map
| NMC PGMER 2023 Requirement | EdMedAI Feature |
|---|---|
| Workplace-Based Assessments — DOPS, Mini-CEX, Direct Teaching | WBA module with structured DOPS, Mini-CEX, and Direct Teaching Observation forms; faculty scoring per encounter; student dashboard view |
| Quarterly Formative Assessments — Annexure III 7-domain scoring | Seven-domain PG quarterly assessment per PGMER Annexure III; faculty scoring; HOD overview; score history per resident |
| Thesis Milestone Tracking | Thesis milestone workflow with review request, faculty approval, document evidence chain, and milestone sign-off dates |
| Guide and Co-Guide Role Separation | Separate guide and co-guide assignments per PG student; role-specific access to thesis milestones and quarterly assessments |
| PG Competency Framework | Dedicated PG competency section with subject-specific PG competency tracking separate from UG framework |
| PG Logbook | Separate PG logbook section with procedure logging, case complexity tracking, and faculty certification |
4. NMC Inspection — What EdMedAI Generates Instantly
When an NMC inspection is notified, most medical colleges spend the weeks before it compiling records that should have been systematically maintained throughout the year. With EdMedAI, inspection preparation is not a sprint — it is a button click. The following reports are generated instantly from live data:
- Annexure 5 Compliance Report — actual vs required teaching hours per subject per phase, with gap analysis
- Student Logbook Summary — entry count, DOAP stage distribution, faculty sign-off rate, pending entries per student
- Attendance Compliance Report — session attendance percentage per student, shortfall list, batch-level summary
- DOAP Certification Status — which students have achieved each DOAP stage per competency, with HOD approval status
- AETCOM Portfolio Status — completion rates per theme per phase across all students
- FAP Status Report — student-family assignments, visit counts, and completion status
- Faculty Activity Report — sessions conducted, competencies taught, logbook sign-offs per faculty member
Colleges using EdMedAI have passed NMC inspections with commendation for their documentation quality. All inspection-required reports are available on demand — no manual data collection required.
5. Digital Health Literacy Regulation
The NMC's 2024-25 CBME framework explicitly includes digital health literacy as a graduate attribute. EdMedAI implements this through its AI tools — the AI Tutor, adaptive MCQ system, clinical simulators, video lecture analysis, and CBME chatbot — all of which train students in using AI-assisted clinical and learning tools as part of their daily MBBS workflow. By graduation, EdMedAI students have used AI tools thousands of times in a curriculum-grounded context, meeting the digital health literacy graduate attribute requirement with documented evidence.