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MVP Scope – Hospital Oncology Longitudinal Record (v1)

Document Purpose

This document defines the Minimum Viable Product (MVP) for deploying the oncology longitudinal patient record at pilot hospitals. It is the authoritative reference for:

  • ✅ What the system MUST do in MVP
  • ❌ What is explicitly OUT of scope
  • 🎯 Acceptance criteria for each MVP module
  • 🔗 Integration requirements and data sources

Table of Contents

Document History

Date Version Description Author
2024-12-03 v1.0 Initial MVP Scope creation Product Manager
2025-12-16 v1.0.5 Scope Reduction: Deferred pending UI/Backend use cases (Nurse Vitals, OT Workflows, Pharmacy Inv, Blood Bank, Diet) to Phase 2; Removed Billing Integration Product Manager
2026-01-06 v1.1 Integrated implicit UI, validation, and security requirements gaps Engineering Team
2026-01-06 v1.2 Added OCR/Scribe Model Training & Inference to MVP scope Engineering Team
2026-01-07 v1.3 Refactored Visual Gaps to Domain-Based mapping; Added UI Maturity statuses and deferred estimates Engineering Team
2026-01-07 v1.4 Added UI Achievement & Progress metrics and Hardening/Integration buffer and estimates Engineering Team

Phase 1 MVP Use Case Summary

Quick Reference: The following P0 (must-have) use cases are included in MVP Phase 1. Each links to detailed specifications in the Developer Use Cases documentation.

Module P0 Use Cases Count Documentation
Ingestion ING-001 to ING-005, ING-009, ING-015, ING-016 8 HL7, PACS
Imaging IMG-009, IMG-010, IMG-014 3 Imaging
API API-001, API-005 2 API
UI UI-001 to UI-004 4 UI
Integration INT-001 1 Integration
Operations OPS-001 to OPS-003, OPS-006, OPS-301 5 Operations
Security SEC-001 to SEC-003, SEC-401a, SEC-401b, SEC-402 6 Security
Infrastructure IMP-INF-001 1 Cloud-Infra
Capture CAP-001, CAP-002 2 Capture
ASR / Scribe PROC-005, PROC-006, PROC-011, PROC-012 4 ASR
ML Training ML-001a, ML-001b, ML-002, ML-003 4 ML Training
NLP NLP-101 1 NLP
EMR EMR-201, EMR-202a, EMR-202b, EMR-203 4 EMR
Consent CONS-001 to CONS-003 3 Consent
Doctor Workflows DCT-001, DCT-002 2 Doctor Workflows
Quality & Safety QAS-001, QAS-002 2 Quality & Safety
Oncology ONC-001 to ONC-003, ONC-005, ONC-006, ONC-010, ONC-020, ONC-023, ONC-032, ONC-050, ONC-052, ONC-070 to ONC-072, ONC-075, IN-ONC-001 16 Oncology
Notifications NOTIF-001 1 Notifications
Documents DOC-001, DOC-002, DOC-004, DOC-006 4 Document Generation
Appointments APPT-001, APPT-002, APPT-004, APPT-009, APPT-010 5 Appointments
Pharmacy PHRM-001 to PHRM-003, PHRM-008 4 Pharmacy
Telemedicine TM-002, TM-003, TM-008 3 Telemedicine

Total MVP P0 Use Cases: 74

Note: Nurse Vitals, Bed Management, OT/Surgery, Blood Bank, and Diet modules have been deferred to Phase 2 (Dec 16th Scope Reduction). See Out-of-Scope Modules.

Note: OT & Surgery now has 12 total use cases (OT-002 to OT-012). The 4 new P1/P2 use cases (OT-009: OT Worklist, OT-010: Complication Tracking, OT-011: Diagrams, OT-012: Case Log) are post-MVP Phase 2.

For complete traceability from requirements to use cases, see the Requirements Traceability Matrix.

MVP Goals

Primary Objectives

  1. Prove Clinical Value
    Oncologists save 5-10 minutes per consultation by having unified patient view

  2. Validate Technical Integration
    Successfully ingest data from 3+ different hospital systems (EMR, LIS, PACS)

  3. Demonstrate Indian Language Support
    Hindi OCR/ASR accuracy >80% on real medical documents

  4. Establish Trust
    Zero data loss, clear provenance, 99.5% uptime

Success Metrics

Metric Target (6 months post-deployment)
Clinician Daily Active Use >50% of oncologists
Data Completeness >80% of available modalities
Time Saved per Consult 5-10 minutes
System Uptime >99.5%
User Satisfaction (NPS) >40

In-Scope Modules

In-Scope Modules

Detailed functional requirements and product specifications for all in-scope modules are documented in In-Scope Modules (Product Specs).

Summary of Included Capabilities:

  1. Longitudinal Timeline View: Unified cancer journey view.
  2. Vitals & Performance Status: ECOG, weight loss tracking.
  3. Labs: Hematology, Chemistry, Tumor Markers with trends.
  4. Imaging: PACS integration with RECIST tracking.
  5. Pathology: Biopsy reports with biomarkers (ER/PR/HER2).
  6. Genomics: Somatic mutations and actionable variants.
  7. Therapy Lines: Chemo/Radio/Immuno treatment history.
  8. Medications: Active list and allergies.
  9. Notes & Scribe (OCR/ASR): English & Hindi support with Model Training & Inference.
  10. FHIR R4 Generation: ABDM-compliant interoperability.
  11. Basic Alerts: Critical labs and rule-based notifications.

Note: These specifications define the functional product requirements. For technical implementation details, refer to the linked Developer Use Cases.

Data Sources & Integrations

Supported Integration Methods

Method Priority Use Case
HL7 v2 (MLLP) P0 Labs (ORU), Admissions (ADT)
FHIR R4 (REST) P1 External lab systems, future PHR apps
File-based JSON P0 PACS, Genomics, legacy systems
Document/Audio Upload P1 OCR, ASR processing

Expected Data Sources at Pilot Hospital

EMR/HIMS
  ├─ HL7 ADT (Admissions/Transfers/Discharges)
  ├─ Demographics, allergies, medications
  └─ Clinical notes (text)

LIS (Lab System)
  └─ HL7 ORU (Lab results)

PACS (Imaging)
  └─ JSON feed with study metadata + DICOM links

Pathology
  └─ JSON feed OR PDF upload with OCR

Genomics Lab
  └─ JSON feed (custom schema)

Therapy Management
  └─ JSON feed OR manual entry

Related Use Cases: UC-ING-001, UC-ING-002, UC-ING-003, UC-INT-001, UC-INT-002

Non-Goals (Out of Scope)

To maintain MVP focus, specific features and modules are explicitly excluded. This includes items deferred during the December 2025 scope reduction (Nurse Station, OT, Pharmacy, Blood Bank, Diet).

Detailed exclusions and vision-state gaps are documented in Visual Gaps & UI Maturity Roadmap and Out-of-Scope Modules.

Summary of Exclusions: 1. Advanced Clinical Decision Support: (LLM tx recs, Trial matching) 2. Full Financial/Billing Workflows: (Insurance auth, Cost estimation) 3. Rich Lesion Tracking UI: (Interactive tools) 4. Global Multilingual Support: (Translation beyond Hin/Eng) 5. Detailed Adherence Tracking: (Medication compliance) 6. Advanced Research/Cohort Tools: (De-identification) 7. Deferred Ancillary Modules: (Nurse Vitals, OT, Pharmacy, Blood Bank, Diet)

Acceptance Criteria

Data Platform & Pipelines

Criterion Target
HL7 ORU Processing <500ms (p95)
File Ingestion Latency <15 minutes from file drop
Bundle Validation Success 100% (zero critical schema errors)
FHIR Generation 100% of patients have valid bundles
English OCR Accuracy >90%
Hindi OCR Accuracy >80%
Data Loss 0 (all ingestion tracked, DLQ for failures)

API & Frontend

Criterion Target
API Response Time (Patient GET) <2s (p95)
Timeline Page Load <3s
API Uptime >99.5%
Browser Support Chrome, Firefox, Safari (latest 2 versions)
Mobile/Tablet Responsive layout, functional on iPad

Deployment & Operations

Criterion Target
Deployment Time <2 weeks per hospital
Monitoring Coverage Metrics for all critical paths
Alert Response DLQ depth >10 → Slack/email alert
Backup Frequency Daily automated backups
Audit Logging 100% of patient data access logged

Technical Constraints

Must Adhere To

  1. ABDM Compliance
  2. ABHA ID as primary patient identifier
  3. FHIR R4 standard for interoperability

  4. Digital consent framework (prepare architecture)

  5. Data Privacy (DPDP Act 2023)

  6. Encryption at rest and in transit
  7. Role-based access control (RBAC)
  8. Audit logs for all access

  9. Data retention policies defined

  10. Hospital IT Policies

  11. Deploy in hospital-approved environment (on-prem or VPC)
  12. No internet-accessible PHI without VPN/tunnel

  13. Coordinate with hospital IT for firewall rules, network access

  14. Performance

  15. Support 100+ concurrent clinicians
  16. Handle 10,000+ patients per instance
  17. Scalable architecture for future growth

Success Checklist (Before MVP Sign-Off)

  • [ ] All in-scope modules functional and tested
  • [ ] Integrated with 3+ hospital data sources
  • [ ] 100 patients loaded with >80% data completeness
  • [ ] 5-10 oncologists trained and using system
  • [ ] Zero critical bugs in production
  • [ ] FHIR bundles validate without errors
  • [ ] Hindi OCR tested on 50+ real documents (>80% accuracy)
  • [ ] Model fine-tuning (LoRA) completed for clinical audio
  • [ ] Inference latency < Audio duration (Real-time Scribe)
  • [ ] Audit logs capturing all patient access
  • [ ] Backup and disaster recovery tested

Document Owner: Product Manager
Last Updated: 2026-01-07
Related: Vision & Strategy | High-Level Architecture | Implicit Use Cases