VoiceAssist V2 Development Roadmap (15 Phases)
This is the canonical V2 development roadmap for VoiceAssist. It presents a 15-phase implementation plan (Phase 0-14) organized by timeframe and deliverables.
For detailed phase documentation, see:
- DEVELOPMENT_PHASES_V2.md - Complete phase descriptions
- ALL_PHASES_SUMMARY.md - Quick phase summary
- CURRENT_PHASE.md - Current implementation status
- Individual phase docs in docs/phases/
Roadmap Overview
Total Duration: 90-110 hours (12-14 weeks part-time)
Architecture Approach: Compose-First, Kubernetes-Later
- Phases 0-10: Build with Docker Compose (80% of development)
- Phases 11-12: Kubernetes manifest creation and testing
- Phases 13-14: Production deployment and finalization
Development Environment: MacBook Pro (local), Ubuntu Server (production)
Table of Contents
- Week 1-2: Foundation (Phases 0-1)
- Week 3-4: Security & Core Services (Phases 2-3)
- Week 5-6: Voice & Medical AI (Phases 4-5)
- Week 7-8: Integration & Admin (Phases 6-7)
- Week 9-10: Observability & Optimization (Phases 8-10)
- Week 11-12: Kubernetes Preparation (Phases 11-12)
- Week 13-14: Production Deployment (Phases 13-14)
- Major Milestones
- Success Criteria
Week 1-2: Foundation (Phases 0-1)
Phase 0: Project Initialization & Architecture Setup
Duration: 4-6 hours Goal: Establish project foundation and development environment
Key Deliverables:
- Complete project directory structure for all microservices
- Docker Desktop installed and configured
- Initial architecture documentation created
- Base docker-compose.yml skeleton
- CURRENT_PHASE.md tracking system initialized
- Git repository with proper .gitignore
Dependencies: None (starting point)
Critical Path: All subsequent phases depend on this
Phase 1: Core Infrastructure & Database Setup
Duration: 6-8 hours Goal: Deploy core databases and create base microservice framework
Key Deliverables:
- PostgreSQL (with pgvector) running via Docker Compose
- Redis deployed for caching and sessions
- Qdrant vector database deployed and accessible
- Dockerfiles for all microservices created
- Database schemas defined with Alembic migrations
- Health check endpoints for all databases
- Docker volumes configured for data persistence
Dependencies: Phase 0 complete
Critical Path: Database foundation required for all services
Week 3-4: Security & Core Services (Phases 2-3)
Phase 2: Security Foundation & Nextcloud Integration
Duration: 6-8 hours Goal: Implement authentication infrastructure with Nextcloud SSO
Key Deliverables:
- Nextcloud deployed in Docker Compose (separate stack)
- Keycloak configured for OIDC authentication
- JWT-based auth service with short-lived tokens
- User registration and login via Nextcloud
- Multi-factor authentication (MFA) with TOTP
- HTTPS configured with self-signed certificates (mkcert for local dev)
- User synchronization service (Nextcloud ↔ PostgreSQL)
Dependencies: Phase 1 (databases must be ready)
Critical Path: Authentication required for all user-facing features
Phase 3: API Gateway & Core Microservices
Duration: 6-8 hours Goal: Create microservice skeletons with basic observability
Key Deliverables:
- API Gateway deployed (Kong or Nginx) in Compose
- Voice Proxy service skeleton (WebSocket endpoints)
- Medical KB service skeleton (RAG pipeline foundation)
- Admin API service skeleton (management endpoints)
- All services registered in docker-compose.yml
- Prometheus deployed for metrics collection
- Grafana deployed with initial dashboards
- Service discovery via Docker Compose networking
Dependencies: Phase 2 (auth must be functional)
Critical Path: API Gateway required for frontend integration
Week 5-6: Voice & Medical AI (Phases 4-5)
Phase 4: Advanced Voice Pipeline & Dynamic Conversations
Duration: 8-10 hours Goal: Build web-based voice assistant with real-time AI
Key Deliverables:
- React voice client with WebRTC streaming
- Voice Activity Detection (VAD) implemented
- Echo cancellation (WebRTC AEC) and noise suppression
- OpenAI Realtime API integration
- WebSocket connection management in Voice Proxy
- Conversation context and memory management
- Dynamic clarification prompts (e.g., "kidney disease" → ask for specifics)
- Barge-in support for natural conversation flow
- Persistent conversation storage
Dependencies: Phase 3 (Voice Proxy service must exist)
Critical Path: Voice is a core differentiator
Phase 5: Medical Knowledge Base & RAG System
Duration: 8-10 hours Goal: Implement advanced medical RAG with domain-specific models
Key Deliverables:
- PDF processing pipeline (PyPDF2, pdfplumber, Tesseract OCR)
- BioGPT integration for medical-specific embeddings
- PubMedBERT integration for enhanced medical understanding
- Advanced RAG with multi-hop reasoning
- UpToDate API integration (if licensed)
- OpenEvidence API integration
- Automated guideline scraper (CDC, WHO, specialty societies)
- Medical calculator library (Wells, GRACE, renal dosing)
- PubMed search and retrieval
- Citation generation with AMA format
Dependencies: Phase 1 (Qdrant must be deployed)
Critical Path: Medical knowledge is the core value proposition
Week 7-8: Integration & Admin (Phases 6-7)
Phase 6: Nextcloud App Integration & Unified Services
Duration: 6-8 hours Goal: Package web apps as Nextcloud apps and integrate calendar/email
Key Deliverables:
- VoiceAssist web client packaged as Nextcloud app
- VoiceAssist admin panel packaged as Nextcloud app
- Documentation site packaged as Nextcloud app
- CalDAV integration for calendar operations
- Google Calendar sync (optional external calendar)
- Email integration via Nextcloud Mail
- File indexing service for Nextcloud documents
- Automatic indexing of uploaded medical documents
- Task synchronization with Nextcloud Tasks
Dependencies: Phase 5 (file indexer must be functional)
Critical Path: Nextcloud unification provides seamless UX
Phase 7: Advanced Admin Panel & RBAC
Duration: 6-8 hours Goal: Build comprehensive admin control center with role-based access
Key Deliverables:
- Admin dashboard with real-time Prometheus metrics
- Role-based access control (RBAC) with Open Policy Agent
- Model selection UI (local vs cloud, model parameters)
- Cost tracking and analytics dashboard
- Knowledge base management interface (upload, reindex, delete)
- Security policy configuration editor
- User management interface (create, update, disable users)
- Audit log viewer with filtering and search
Dependencies: Phase 3 (Admin API must exist)
Critical Path: Admin features required for production management
Week 9-10: Observability & Optimization (Phases 8-10)
Phase 8: Distributed Tracing & Advanced Observability
Duration: 4-6 hours Goal: Implement comprehensive observability stack
Key Deliverables:
- Jaeger deployed for distributed tracing
- All services instrumented with OpenTelemetry
- Loki deployed for centralized logging
- PHI redaction implemented in all logs
- AlertManager configured with HIPAA-relevant alerts
- Comprehensive Grafana dashboards (service health, latency, errors)
- Log retention policies configured (30-90 days)
- Alert rules for critical issues (downtime, high latency, errors)
Dependencies: Phase 3 (Prometheus/Grafana must be deployed)
Critical Path: Observability critical for production reliability
Phase 9: Infrastructure as Code & CI/CD
Duration: 6-8 hours Goal: Automate infrastructure and deployment pipelines
Key Deliverables:
- Terraform modules for all infrastructure
- Ansible playbooks for Ubuntu server setup
- GitHub Actions CI/CD pipelines
- Automated test suites (unit, integration, security)
- Security scanning (SAST with Bandit, DAST)
- Automated deployment scripts
- Infrastructure documentation with diagrams
Dependencies: Phases 1-8 (all services must be functional)
Critical Path: Automation reduces deployment risk
Phase 10: Load Testing & Performance Optimization
Duration: 6-8 hours Goal: Verify system can handle production load
Key Deliverables:
- Load testing scripts (k6 or Locust)
- Performance benchmarks for 100, 200, 500 concurrent users
- Voice mode concurrent connection testing
- Database query optimization (indexes, query plans)
- Redis caching implementation for hot paths
- Docker Compose resource limits tuned
- Performance report with bottleneck analysis
Dependencies: Phases 1-9 (full system must be functional)
Milestone: Docker Compose system is production-ready
Week 11-12: Kubernetes Preparation (Phases 11-12)
Phase 11: Security Hardening & HIPAA Compliance
Duration: 6-8 hours Goal: Implement comprehensive security measures
Key Deliverables:
- Security audit report (vulnerability scanning)
- Encryption at rest for all databases
- mTLS for inter-service communication (prepare for service mesh)
- Comprehensive audit logging for all data access
- Network segmentation policies documented
- PHI detection service (Presidio-based)
- PHI redaction tested and verified
- HIPAA compliance documentation
- Penetration testing (if possible)
Dependencies: All previous phases
Critical Path: Security required for HIPAA compliance
Phase 12: High Availability & Disaster Recovery
Duration: 4-6 hours Goal: Configure HA, backups, and recovery procedures
Key Deliverables:
- PostgreSQL streaming replication configured
- Automated daily encrypted backups
- Backup stored off-site (Nextcloud, S3, or similar)
- Disaster recovery runbook with step-by-step procedures
- Backup restoration tested and verified
- RTO (Recovery Time Objective) and RPO (Recovery Point Objective) documented
Dependencies: Phase 1 (database infrastructure)
Critical Path: DR essential for production systems
Week 13-14: Production Deployment (Phases 13-14)
Phase 13: Final Testing & Documentation
Duration: 6-8 hours Goal: Comprehensive end-to-end testing and documentation finalization
Key Deliverables:
- Complete E2E test suite covering all workflows
- Voice interaction testing (accuracy, latency, reliability)
- Integration testing (all services working together)
- Updated ARCHITECTURE_V2.md with as-built architecture
- Updated all service READMEs
- Deployment guide for Ubuntu server
- User documentation (clinician-facing)
- Troubleshooting guide with common issues
Dependencies: All previous phases
Critical Path: Testing prevents production issues
Phase 14: Production Deployment
Duration: 6-8 hours Goal: Deploy to Ubuntu server and configure production environment
Key Deliverables:
- VoiceAssist deployed to production Ubuntu server
- SSL certificates configured (Let's Encrypt)
- Domain DNS configured (voiceassist.asimo.io, admin.asimo.io, etc.)
- Production monitoring active (Prometheus, Grafana, alerts)
- Production smoke tests passed (all services healthy)
- Production documentation complete (runbooks, incident response)
- Backup verification (automated backups running)
Dependencies: All previous phases
Milestone: VoiceAssist V2 is live in production!
Major Milestones
Milestone 1: Docker Compose System Complete (After Phase 10)
- All microservices functional in Docker Compose
- Full feature parity with V2 architecture design
- Performance validated for production load
- Observability stack operational
- Status: Ready for Kubernetes migration OR production deployment via Compose
Milestone 2: Kubernetes Migration Prepared (After Phase 12)
- K8s manifests created and tested locally (K3s or Minikube)
- Security hardening complete
- High availability configured
- Disaster recovery tested
- Status: Ready for production K8s deployment
Milestone 3: Production Deployment Complete (After Phase 14)
- System live on production Ubuntu server
- All services healthy and monitored
- Backups running automatically
- Documentation complete
- Status: Production-ready system in operation
Phase Dependencies Diagram
Phase 0 (Init)
↓
Phase 1 (Infrastructure)
↓
Phase 2 (Security) ←──────────────┐
↓ │
Phase 3 (Microservices) │
↓ │
Phase 4 (Voice) Phase 5 (Medical KB)
↓ ↓ │
└────────┬───────┘ │
↓ │
Phase 6 (Nextcloud Apps) ──────────┘
↓
Phase 7 (Admin Panel)
↓
Phase 8 (Observability)
↓
Phase 9 (IaC & CI/CD)
↓
Phase 10 (Load Testing)
[Milestone 1]
↓
Phase 11 (Security) Phase 12 (HA/DR)
↓ ↓
└──────┬───────┘
↓
Phase 13 (Testing)
↓
Phase 14 (Production)
[Milestone 3]
Success Criteria
Technical Metrics
Performance:
- Voice activation latency: < 500ms
- Chat response time: < 2s (simple queries)
- Medical search latency: < 5s (including RAG)
- WebSocket connection stability: > 99%
Reliability:
- System uptime: > 99.5%
- Error rate: < 1%
- All tests passing: 100%
Security:
- HIPAA compliance: Verified
- PHI never in logs: 100% redaction
- mTLS coverage: 100% of inter-service traffic
- Audit log coverage: 100% of data access
Scalability:
- Concurrent users supported: 500+
- Voice sessions supported: 100+ simultaneous
- Knowledge base size: 10,000+ documents
- Vector search: Sub-second latency
Business Metrics
Features:
- All workflows functional (Quick Consult, Case Workspace, etc.)
- Voice interaction working (VAD, echo cancellation)
- Medical knowledge base comprehensive (textbooks, journals, guidelines)
- Admin panel fully functional (KB management, analytics)
Documentation:
- Architecture documented
- API contracts documented
- Deployment procedures documented
- User guides complete
Quality:
- Code coverage: > 80%
- No critical security issues
- Performance benchmarks met
- All acceptance criteria passed
Risk Mitigation
High-Risk Areas
Risk 1: Voice Quality Issues
- Mitigation: Extensive testing in Phase 4, fallback to text-only mode
- Contingency: Use commercial VAD/AEC libraries if open-source insufficient
Risk 2: RAG Accuracy
- Mitigation: Comprehensive testing with clinical experts in Phase 5
- Contingency: Implement confidence scoring, show multiple sources
Risk 3: Performance Under Load
- Mitigation: Load testing in Phase 10, early optimization
- Contingency: Horizontal scaling via Docker Compose replicas
Risk 4: HIPAA Compliance Gaps
- Mitigation: Security audit in Phase 11, expert review
- Contingency: Additional controls, third-party audit
Timeline Buffers
- Phase estimates include 20% buffer
- Critical path phases (1, 2, 4, 5) have priority
- Non-critical features can be deferred to post-launch
Post-Launch Roadmap
Phase 15+: Kubernetes Migration (Optional)
- Migrate from Docker Compose to Kubernetes
- Implement service mesh (Linkerd/Istio)
- Configure auto-scaling (HPA)
- Multi-zone deployment for HA
Future Enhancements
Platform Expansion:
- Mobile app (iOS/Android) with offline voice mode
- Multi-user collaboration features (shared case reviews)
- Telemedicine integration (video conferencing, remote monitoring)
Clinical Intelligence:
- Full care-gap detection and preventive care reminders
- Additional medical specialties (cardiology, oncology, pediatrics)
- Advanced ML models for medical diagnosis assistance
- Clinical decision support (CDS) rules engine
EHR Enhancements:
- Offline EHR sync with conflict resolution
- Additional EHR systems (Cerner, Allscripts, athenahealth)
- Bidirectional patient messaging integration
- Lab result trending and alerts
Voice & AI:
- Multi-language voice support (Spanish, Arabic, Mandarin)
- Custom voice cloning for personalized TTS
- Context-aware medical terminology pronunciation
- Voice biometrics for patient authentication
Infrastructure:
Integration with EHR systems (HL7 FHIR)✅ COMPLETE - Epic FHIR integration implemented- Federated learning for privacy-preserving model improvement
- Edge deployment for low-latency voice processing
Recently Completed (Dec 2025)
Epic FHIR Integration (Phase 6b/7):
- Read-only FHIR operations: Patient, Observation, MedicationRequest, AllergyIntolerance
- Write operations: Create/update/delete for MedicationRequest, ServiceRequest, DocumentReference
- EHRCommandExecutor plugin for voice-driven orders ("prescribe amoxicillin 500mg twice daily")
- Order confirmation workflow with duplicate detection
- Circuit breaker pattern with provider health monitoring
- Chaos engineering framework for resilience testing
- HIPAA-compliant audit logging for all EHR operations
- Feature flags with A/B testing support
- Operational runbook at
docs/operations/epic-fhir-runbook.md
Related Documentation
- DEVELOPMENT_PHASES_V2.md - Detailed phase descriptions
- ALL_PHASES_SUMMARY.md - Quick phase reference
- ARCHITECTURE_V2.md - System architecture
- CURRENT_PHASE.md - Current implementation status
- START_HERE.md - Project orientation
Last Updated: 2025-12-04 Version: V2.1 Status: Implementation Complete (Phases 0-10, Epic FHIR Phase 6b/7)