2:I[7012,["4765","static/chunks/4765-f5afdf8061f456f3.js","9856","static/chunks/9856-3b185291364d9bef.js","6687","static/chunks/app/docs/%5B...slug%5D/page-e07536548216bee4.js"],"MarkdownRenderer"] 4:I[9856,["4765","static/chunks/4765-f5afdf8061f456f3.js","9856","static/chunks/9856-3b185291364d9bef.js","6687","static/chunks/app/docs/%5B...slug%5D/page-e07536548216bee4.js"],""] 5:I[4126,[],""] 7:I[9630,[],""] 8:I[4278,["9856","static/chunks/9856-3b185291364d9bef.js","8172","static/chunks/8172-b3a2d6fe4ae10d40.js","3185","static/chunks/app/layout-2814fa5d15b84fe4.js"],"HeadingProvider"] 9:I[1476,["9856","static/chunks/9856-3b185291364d9bef.js","8172","static/chunks/8172-b3a2d6fe4ae10d40.js","3185","static/chunks/app/layout-2814fa5d15b84fe4.js"],"Header"] a:I[3167,["9856","static/chunks/9856-3b185291364d9bef.js","8172","static/chunks/8172-b3a2d6fe4ae10d40.js","3185","static/chunks/app/layout-2814fa5d15b84fe4.js"],"Sidebar"] b:I[7409,["9856","static/chunks/9856-3b185291364d9bef.js","8172","static/chunks/8172-b3a2d6fe4ae10d40.js","3185","static/chunks/app/layout-2814fa5d15b84fe4.js"],"PageFrame"] 3:Td201, # VoiceAssist Client Development & Enhancement Roadmap **Version:** 2.1 (Final Decisions Made) **Date:** 2025-11-21 **Status:** ✅ Ready for Implementation - Milestone 1 Starting **Branch:** `client-roadmap-reconciliation` --- ## 🎉 Critical Decisions Finalized (2025-11-21) **All 8 critical questions resolved! Development can proceed immediately.** | Decision | Choice | Impact | | ------------------ | -------------------------------------------------- | ----------- | | **Design System** | Create from scratch (Radix UI + Tailwind) | Week 1-2 | | **Storybook** | Include in monorepo setup | Week 1 | | **Deployment** | Ubuntu server (Docker Compose) initially | Week 1-2 | | **UpToDate** | No budget, use free sources (PubMed, OpenEvidence) | Milestone 5 | | **Offline PHI** | No PHI offline, non-PHI only with encryption | Milestone 6 | | **GPU Budget** | No budget, use OpenAI APIs | Milestone 3 | | **Image Datasets** | Pre-trained models (GPT-4 Vision) | Milestone 6 | | **AI Liability** | Decision support only, clear disclaimers | All phases | **See [OPEN_QUESTIONS.md](OPEN_QUESTIONS.md) for detailed rationale.** --- ## 🎯 Executive Summary This unified roadmap integrates: 1. **Deferred backend features** from Phases 4-6 (voice pipeline, medical AI, integrations) 2. **Three client applications** (web app, admin panel, documentation site) 3. **Platform enhancements** (design system, accessibility, i18n, PWA, telemetry) 4. **External integrations** (medical databases, EMR/FHIR systems) 5. **Advanced capabilities** (multi-modal AI, advanced RAG, operational excellence) **Current Status:** - ✅ **Backend Core:** 100% Complete (Phases 0-15, HIPAA-compliant, production-ready) - ✅ **Critical Decisions:** All 8 resolved (2025-11-21) - ⏳ **Deferred Backend Features:** Identified and scheduled (Milestones 2-6) - 🚀 **Client Applications:** Starting NOW (Milestone 1-2, 20 weeks) - ⏳ **Platform Enhancements:** Planned across all milestones **Total Timeline:** 52+ weeks (6 major milestones) **Team Size:** 2-3 developers (scaling to 4-6 for advanced features) --- ## 📋 Table of Contents 1. [Completed Work Summary](#completed-work-summary) 2. [Outstanding Tasks Overview](#outstanding-tasks-overview) 3. [Milestone Breakdown](#milestone-breakdown) 4. [Feature Catalog](#feature-catalog) 5. [Dependencies & Prerequisites](#dependencies--prerequisites) 6. [Open Questions & Decisions](#open-questions--decisions) 7. [Success Metrics](#success-metrics) 8. [Risk Management](#risk-management) --- ## 1. Completed Work Summary ### Backend Development (Phases 0-15) ✅ **Status:** 100% Complete, Production Ready | Phase | Deliverables | Status | | ------------ | --------------------------------------------------- | ----------- | | **Phase 0** | Project initialization, Docker setup | ✅ Complete | | **Phase 1** | PostgreSQL, Redis, Qdrant infrastructure | ✅ Complete | | **Phase 2** | JWT auth, audit logging, Nextcloud integration | ✅ Complete | | **Phase 3** | API Gateway, microservices foundation | ✅ Complete | | **Phase 4** | WebSocket realtime (text-based MVP) | ✅ Complete | | **Phase 5** | Document ingestion, RAG (OpenAI embeddings) | ✅ Complete | | **Phase 6** | Nextcloud services (CalDAV, WebDAV, email skeleton) | ✅ Complete | | **Phase 7** | Admin RBAC, admin panel backend | ✅ Complete | | **Phase 8** | Jaeger, Loki, Prometheus, Grafana | ✅ Complete | | **Phase 9** | Terraform, Ansible, GitHub Actions CI/CD | ✅ Complete | | **Phase 10** | Load testing, performance optimization | ✅ Complete | | **Phase 11** | Security hardening, HIPAA compliance (42/42) | ✅ Complete | | **Phase 12** | PostgreSQL replication, automated backups | ✅ Complete | | **Phase 13** | 50+ tests (95% coverage), documentation | ✅ Complete | | **Phase 14** | Production deployment automation | ✅ Complete | | **Phase 15** | Final review, validation, handoff | ✅ Complete | **Quality Metrics Achieved:** - ✅ Code coverage: 95% (target: 90%) - ✅ HIPAA compliance: 42/42 requirements - ✅ Performance: P95 120ms, 5000 req/s throughput - ✅ Security: 0 critical vulnerabilities - ✅ Documentation: 15,000+ lines --- ## 2. Outstanding Tasks Overview ### 2.1 Deferred Backend Features (from Phases 4-6) **Category A: Voice Pipeline Completion** - [x] Text-based streaming chat (MVP completed in Phase 4) - [ ] Full voice pipeline with WebRTC - [ ] Voice Activity Detection (VAD) - [ ] Echo cancellation and noise suppression - [ ] Barge-in support - [ ] Voice authentication - [ ] OpenAI Realtime API integration **Category B: Advanced Medical AI** - [x] OpenAI embeddings (MVP completed in Phase 5) - [x] Single-hop RAG (MVP completed in Phase 5) - [ ] BioGPT/PubMedBERT integration - [ ] Multi-hop reasoning - [ ] Query decomposition - [ ] Cross-document synthesis - [ ] Confidence scoring **Category C: External Medical Integrations** - [x] ~~UpToDate API integration~~ (no budget, deferred) - [ ] OpenEvidence API integration (free tier, Milestone 5) - [ ] PubMed integration (free, Milestone 5 - highest priority) - [ ] Clinical practice guidelines (free, CDC/WHO, Milestone 5) - [ ] Clinical trial databases (future consideration) - [ ] Drug information systems (future consideration) **Category D: Nextcloud Integration Completion** - [x] CalDAV service (MVP completed in Phase 6) - [x] WebDAV file indexer (MVP completed in Phase 6) - [x] Email service skeleton (MVP completed in Phase 6) - [ ] OIDC authentication - [ ] Complete email integration (IMAP/SMTP) - [ ] CardDAV contacts - [ ] Frontend Nextcloud app packaging --- ### 2.2 Client Applications (98 Features Total) **Web App - 55 Features** - Authentication & User Management: 5 features - Chat Interface: 12 features - Voice Mode: 8 features - Clinical Context: 6 features - File Management: 4 features - Citations & Sources: 5 features - Conversation Management: 5 features - Advanced Features: 10 features **Admin Panel - 38 Features** - Dashboard: 8 features - Knowledge Base Management: 12 features - AI Model Configuration: 6 features - Analytics: 6 features - Integration Management: 6 features **Documentation Site - 15 Features** - Content Management: 5 features - Interactive Elements: 5 features - Navigation: 5 features **Detailed Specs Available:** - [Web App Feature Specs](WEB_APP_FEATURE_SPECS.md) - [Admin Panel Feature Specs](ADMIN_PANEL_FEATURE_SPECS.md) - [Docs Site Feature Specs](DOCS_SITE_FEATURE_SPECS.md) --- ### 2.3 Platform Enhancements **Category E: Design & UX** - [ ] Design tokens package (`@voiceassist/design-tokens`) - [ ] WCAG 2.1 AA accessibility compliance - [ ] Storybook component documentation - [ ] Dark mode theme - [ ] Responsive design (320px to 4K) **Category F: Internationalization** - [ ] react-i18next infrastructure - [ ] English (en-US) - Primary - [ ] Spanish (es-ES) - Secondary - [ ] Arabic (ar-SA) - For Middle East - [ ] RTL (Right-to-Left) support - [ ] Date/time/number formatting **Category G: Offline & PWA** - [ ] Service worker implementation - [ ] Cache-first strategy for static assets - [ ] IndexedDB for offline storage - [ ] Background sync - [ ] PWA manifest and install prompt - [ ] Encrypted local storage (HIPAA-compliant) **Category H: Telemetry & Analytics** - [ ] Client-side telemetry package (`@voiceassist/telemetry`) - [ ] Core Web Vitals tracking - [ ] Error tracking (Sentry integration) - [ ] User analytics (privacy-focused) - [ ] Integration with Grafana **Category I: Client-Side Security** - [ ] PHI detection at client level - [ ] Pattern matching for common PHI - [ ] Redaction before logging - [ ] Warning prompts for potential PHI - [ ] Local audit trail --- ### 2.4 Integration Expansions **Category J: EMR/FHIR Integration** - [ ] HL7 FHIR R4 standard support - [ ] Patient resource access - [ ] Epic MyChart integration - [ ] Cerner integration - [ ] Allscripts integration - [ ] SMART on FHIR authorization **Category K: Multi-Modal AI** - [ ] Medical image analysis (GPT-4 Vision) - [ ] DICOM support - [ ] Video analysis - [ ] Structured data visualization - [ ] Lab results charting --- ### 2.5 Operational Excellence **Category L: Advanced Monitoring** - [ ] AI model performance metrics - [ ] Business metrics (MAU, DAU, NPS) - [ ] Predictive analytics - [ ] ML-based anomaly detection **Category M: Cost Optimization** - [ ] OpenAI API cost reduction (caching, prompt optimization) - [ ] Infrastructure right-sizing - [ ] Storage optimization **Category N: Resilience Testing** - [ ] Chaos engineering framework - [ ] Failure injection testing - [ ] Network partition testing - [ ] Regular game days --- ## 3. Milestone Breakdown ### Milestone 1: Frontend Foundation (Weeks 1-10) **Objective:** Establish monorepo, design system, and build core web app **Duration:** 10 weeks **Team:** 2-3 developers **Priority:** CRITICAL #### Phase 0: Foundation & Setup (Weeks 1-2) ✅ **COMPLETE** **Status:** ✅ Complete (2025-11-21) **Branch:** `client-roadmap-reconciliation` **Commit:** 517cddb **Tasks Completed:** 1. ✅ **Monorepo Setup** - ✅ Initialized pnpm workspaces (pnpm 10.23.0) - ✅ Configured Turborepo 2.6.1 for build orchestration - ✅ Set up shared packages structure (`apps/`, `packages/`) - ✅ Configured TypeScript paths and references 2. ✅ **Design Tokens Package** (`@voiceassist/design-tokens` v1.0.0) - ✅ Medical color palette (blue #0080FF, teal #00AFAF) - ✅ Typography scales (system fonts, 10 sizes) - ✅ Spacing system (4px/8px grid, 40+ tokens) - ✅ Border radius, shadows, z-index scales - ✅ Full TypeScript support with type exports 3. ✅ **Component Library Foundation** (`@voiceassist/ui` v1.0.0) - ✅ Tailwind CSS 3.4+ configuration - ✅ Radix UI primitives integration - ✅ Button component (5 variants, 3 sizes) - ✅ Storybook 8.0 with a11y addon - ✅ Class variance authority for variants 4. ✅ **Shared Packages** - ✅ `@voiceassist/types` - Complete TypeScript type definitions - ✅ `@voiceassist/api-client` - Type-safe Axios client with interceptors - ✅ `@voiceassist/utils` - Utilities with **PHI detection & redaction** (HIPAA) - ✅ `@voiceassist/config` - Tailwind, TypeScript, ESLint configs 5. ⏳ **CI/CD Pipeline** (Deferred to Phase 1) - ⏳ GitHub Actions workflows - ⏳ Husky git hooks **Deliverables:** - ✅ Monorepo structure operational (`pnpm-workspace.yaml`, `turbo.json`) - ✅ Design tokens package with 200+ tokens - ✅ Component library foundation (Button + utils) - ✅ Storybook running on port 6006 - ✅ 6 shared packages built and functional - ✅ All packages build successfully with Turbo caching **Success Criteria:** - ✅ All packages can be imported across apps - ✅ Storybook accessible at http://localhost:6006 - ✅ `pnpm build` succeeds (all 7 packages) - ✅ PHI detection utilities tested and working - ⏳ CI/CD passes on pull requests (deferred) --- #### Phase 1: Web App Core (Weeks 3-6) 🚧 **IN PROGRESS** **Status:** Week 3 - Authentication (75% Complete) **Branch:** `client-roadmap-reconciliation` **Latest Commit:** 75404a8 **Tasks:** 1. **Authentication & User Management** (Week 3) ⏳ **75% COMPLETE** - ✅ Email/password login page with validation - ✅ User registration page with password strength indicator - ✅ Session management with JWT (Zustand store) - ✅ Protected route implementation (React Router guards) - ✅ Responsive layout with header, sidebar, navigation - ⏳ User profile management (deferred to Week 4) - ⏳ OAuth integration (Google, Microsoft) (deferred to Milestone 2) 2. **Chat Interface Foundation** (Week 4) - Chat layout with sidebar and main area - Message rendering (markdown, code blocks) - Real-time streaming responses via WebSocket - Citation inline display - Loading states and skeletons 3. **Basic Voice Mode** (Week 5) - Push-to-talk voice input - Real-time transcription display - Audio response playback - Voice settings (speed, volume) - **Note:** Advanced features (VAD, WebRTC, barge-in) deferred to Milestone 2 4. **File Upload** (Week 6) - PDF upload and preview - Image upload and display - Progress indicators - File size limits - Error handling **Deliverables:** - ✅ Web app deployed to staging - ✅ Authentication flow complete - ✅ Chat interface functional with streaming - ✅ Basic voice mode operational - ✅ File upload working **Success Criteria:** - Users can register, login, and chat - Streaming responses render correctly - Basic voice input works - Files upload successfully - 80% test coverage - Performance: < 2s initial load --- #### Phase 2: Web App Advanced (Weeks 7-10) 🚧 **IN PROGRESS** **Status:** Week 8 - Citations Complete (50% Complete) **Latest Commit:** 157e2a3 **Tasks:** 1. **Clinical Context** (Week 7) ✅ **COMPLETE** - ✅ Patient demographics form - ✅ Problems list management - ✅ Medications list - ✅ Lab values input - ✅ Vitals tracking - ✅ Context-aware queries - ✅ Keyboard shortcut (⌘I) - **Commit:** 9626960 2. **Citations & Sources** (Week 8) ✅ **COMPLETE** - ✅ Citation sidebar - ✅ Source highlighting via expandable citations - ✅ Search/filter across all citation fields - ✅ Direct source links (PubMed, DOI, URLs) - ✅ Citation export (Markdown/Text) - ✅ Keyboard shortcut (⌘C) - **Commit:** 157e2a3 3. **Conversation Management** (Week 9) ⏳ **IN PROGRESS** - ⏳ Conversation history with search - ⏳ Conversation folders - ⏳ Conversation sharing - ⏳ Conversation templates - ⏳ Export to PDF/Markdown 4. **Advanced Features** (Week 10) ✅ **PARTIALLY COMPLETE** - ✅ Message editing and regeneration - ✅ Conversation branching (Commit: a37068e) - ✅ Keyboard shortcuts (⌘B, ⌘I, ⌘C, ⌘/) - ⏳ Performance optimization - ⏳ Accessibility audit and fixes **Deliverables:** - ✅ Clinical context fully functional - ✅ Citations and sources working - ⏳ Conversation management in progress - ✅ Advanced features partially complete - ⏳ WCAG 2.1 AA compliance pending - ⏳ Performance optimization pending **Success Criteria:** - Clinical context integrates with queries - Citations displayed correctly - Conversation history works - Accessibility score: WCAG 2.1 AA - Performance: < 2s load, < 100ms interactions --- ### Milestone 2: Admin Panel & Voice Pipeline (Weeks 11-20) **Objective:** Build admin panel, complete full voice pipeline, add OIDC auth **Duration:** 10 weeks **Team:** 2-3 developers **Priority:** HIGH #### Phase 3: Admin Panel Core (Weeks 11-13) **Tasks:** 1. **Dashboard** (Week 11) - Real-time metrics display - System health indicators - Active sessions monitor - API usage graphs - Alert notifications 2. **Knowledge Base Management** (Week 12) - Document library table - Bulk document upload - Document metadata editing - Indexing queue management - Document preview and search 3. **Basic Analytics** (Week 13) - Query analytics dashboard - Response time histograms - Usage trends - Export reports **Deliverables:** - ✅ Admin panel deployed to staging - ✅ Dashboard operational with real-time metrics - ✅ KB management fully functional - ✅ Analytics dashboard complete --- #### Phase 4: Admin Panel Advanced (Weeks 14-16) **Tasks:** 1. **AI Model Configuration** (Week 14) - Model selection interface - Model routing rules - Temperature/parameters tuning - Model testing interface 2. **Integration Management** (Week 15) - Nextcloud configuration UI - Calendar integration setup - Email integration UI - Integration health checks 3. **Advanced Analytics** (Week 16) - Cost breakdown by service - Popular topics tracking - User retention cohorts - Predictive analytics **Deliverables:** - ✅ AI model configuration complete - ✅ Integration management working - ✅ Advanced analytics operational --- #### Phase 5: Documentation Site (Weeks 17-18) **Tasks:** 1. **Content & Navigation** (Week 17) - Next.js 14 app setup - MDX content integration - Sidebar navigation - Search with Algolia - Dark mode 2. **Interactive Elements** (Week 18) - Code playgrounds - Interactive examples - Video tutorials - Diagrams (Mermaid) - Version control **Deliverables:** - ✅ Documentation site deployed - ✅ All content migrated - ✅ Search functional - ✅ Interactive elements working --- #### Phase 6: Integration & Polish (Weeks 19-20) **Tasks:** 1. **Deferred Backend: OIDC Authentication** (Week 19) - OIDC client configuration - SSO flow with Nextcloud - Token refresh and revocation - MFA integration 2. **Deferred Backend: Voice Pipeline Completion** (Week 20) - WebRTC audio streaming - Voice Activity Detection (VAD) - Echo cancellation - Barge-in support - Voice authentication - OpenAI Realtime API integration 3. **Client-Side: PHI Detection** (Week 19-20) - Pattern matching for PHI - Redaction before logging - Warning prompts - Local audit trail **Deliverables:** - ✅ OIDC authentication complete - ✅ Full voice pipeline operational - ✅ PHI detection at client level - ✅ All three apps production-ready **Success Criteria:** - SSO works with Nextcloud - Voice latency < 500ms - PHI never in telemetry/logs - All apps deployed to production --- ### Milestone 3: Advanced AI & Enhancements (Weeks 21-28) **Objective:** Integrate specialized medical models, advanced RAG, platform enhancements **Duration:** 8 weeks **Team:** 2 developers **Priority:** HIGH #### Tasks **Weeks 21-22: BioGPT/PubMedBERT Integration** - Evaluate and benchmark medical models - Set up GPU infrastructure for inference - Integrate BioGPT for medical embeddings - Integrate PubMedBERT for entity recognition - Fine-tune on medical datasets - A/B testing vs OpenAI embeddings **Weeks 23-24: Advanced RAG Techniques** - Hybrid search (semantic + keyword/BM25) - Cross-encoder re-ranking - Query expansion (synonyms, abbreviations) - Contextual retrieval (conversation history) - Metadata filtering (source type, date, evidence level) **Weeks 25-26: Multi-Hop Reasoning** - Query decomposition - Multi-step reasoning chains - Cross-document synthesis - Confidence scoring per step **Weeks 27-28: Email Integration & Monitoring** - Complete email integration (IMAP/SMTP) - Email parsing and summarization - Advanced monitoring (AI model metrics, business metrics) - Predictive analytics **Deliverables:** - ✅ BioGPT/PubMedBERT integrated - ✅ Advanced RAG operational - ✅ Multi-hop reasoning working - ✅ Email integration complete - ✅ Advanced monitoring deployed **Success Criteria:** - RAG precision improved by 20% - Medical query accuracy > 90% - Email integration functional - AI model performance tracked --- ### Milestone 4: Platform Enhancements (Weeks 29-36) **Objective:** i18n, data visualization, feedback loops, cost optimization **Duration:** 8 weeks **Team:** 2 developers **Priority:** MEDIUM #### Tasks **Weeks 29-30: Internationalization** - react-i18next infrastructure - English (primary), Spanish, Arabic - RTL support - Translation management (Crowdin/Lokalise) - Date/time/number formatting **Weeks 31-32: Data Visualization & Feedback** - Lab results visualization - Vital signs charting - Disease progression timelines - User feedback collection system - Continuous learning pipeline **Weeks 33-34: Telemetry Package** - Client-side telemetry (`@voiceassist/telemetry`) - Core Web Vitals tracking - Error tracking (Sentry) - User analytics (privacy-focused) - Integration with Grafana **Weeks 35-36: Cost Optimization & Chaos Engineering** - OpenAI API cost reduction - Infrastructure right-sizing - Storage optimization - Chaos engineering framework - Failure injection testing **Deliverables:** - ✅ 3 languages supported - ✅ Data visualization complete - ✅ Feedback system operational - ✅ Telemetry integrated - ✅ Cost per query reduced by 25% - ✅ Chaos engineering deployed **Success Criteria:** - Multi-language support verified - Feedback collection active - Telemetry data in Grafana - Cost reduction achieved --- ### Milestone 5: External Integrations (Weeks 37-44) **Objective:** Integrate medical databases, Nextcloud app packaging, GDPR **Duration:** 8 weeks **Team:** 2 developers **Priority:** HIGH #### Tasks **Weeks 37-39: UpToDate & OpenEvidence** - UpToDate API integration (license required) - OpenEvidence API integration - Clinical decision support workflows - Drug interaction checking - Evidence-based medicine queries **Weeks 40-42: PubMed Integration** - PubMed API integration - Literature search - Citation management - Automated reference generation **Weeks 43-44: Nextcloud App Packaging & GDPR** - Package web app as Nextcloud app - Package admin panel as Nextcloud app - Nextcloud app store submission - Auto-update mechanism - GDPR compliance enhancements - Right to be forgotten - Data portability - Consent management **Deliverables:** - ✅ UpToDate integrated - ✅ OpenEvidence integrated - ✅ PubMed integrated - ✅ Nextcloud apps in app store - ✅ GDPR compliant **Success Criteria:** - 3 external sources integrated - Nextcloud apps available - GDPR features functional --- ### Milestone 6: Advanced Features (Weeks 45-52) **Objective:** Offline/PWA, CardDAV, advanced audit, multi-modal AI **Duration:** 8 weeks **Team:** 2 developers **Priority:** MEDIUM #### Tasks **Weeks 45-47: Offline Mode & PWA** - Service worker implementation - IndexedDB for offline storage - Background sync - PWA manifest and install prompt - Encrypted local storage (HIPAA-compliant) - Auto-expiration of offline data **Weeks 48-49: CardDAV & Advanced Audit** - CardDAV contacts synchronization - Physician directory integration - Advanced audit logging - Immutable audit trail - Anomaly detection - Session replay **Weeks 50-52: Multi-Modal AI** - Medical image analysis (GPT-4 Vision) - DICOM support - Video analysis - Lab results visualization - Treatment outcome dashboards **Deliverables:** - ✅ PWA installable - ✅ Offline mode functional (non-PHI) - ✅ CardDAV integrated - ✅ Advanced audit deployed - ✅ Image analysis operational **Success Criteria:** - Offline mode works (non-PHI only) - PWA meets all criteria - Image analysis accurate - Advanced audit functional --- ## 4. Feature Catalog ### 4.1 Web App Features (55 Total) | Category | Features | Priority | Milestone | Effort | | --------------------------------------- | ----------- | -------- | --------------- | ------- | | **Authentication & User Management** | 5 features | P0 | Milestone 1 | 1 week | | - Email/password login | ✓ | P0 | M1, Week 3 | 2 days | | - OAuth integration (Google, Microsoft) | ✓ | P0 | M1, Week 3 | 2 days | | - User registration | ✓ | P0 | M1, Week 3 | 1 day | | - User profile management | ✓ | P1 | M1, Week 3 | 1 day | | - Session management | ✓ | P0 | M1, Week 3 | 1 day | | **Chat Interface** | 12 features | P0 | Milestone 1 | 1 week | | - Real-time streaming responses | ✓ | P0 | M1, Week 4 | 2 days | | - Markdown rendering | ✓ | P0 | M1, Week 4 | 1 day | | - LaTeX math support | ✓ | P1 | M1, Week 4 | 1 day | | - Citation inline display | ✓ | P0 | M1, Week 4 | 1 day | | - Code block with copy button | ✓ | P1 | M1, Week 4 | 0.5 day | | - Message editing | ✓ | P1 | M1, Week 10 | 0.5 day | | - Message regeneration | ✓ | P1 | M1, Week 10 | 0.5 day | | - Conversation branching | ✓ | P2 | M1, Week 10 | 1 day | | - Multi-turn context | ✓ | P0 | M1, Week 4 | 1 day | | - Voice input integration | ✓ | P1 | M1, Week 5 | 1 day | | - File attachment support | ✓ | P1 | M1, Week 6 | 1 day | | - Conversation export | ✓ | P2 | M1, Week 9 | 0.5 day | | **Voice Mode** | 8 features | P1 | Milestone 1-2 | 2 weeks | | - Push-to-talk input | ✓ | P1 | M1, Week 5 | 1 day | | - Hands-free continuous mode | ✓ | P1 | M2, Week 20 | 1 day | | - Voice Activity Detection (VAD) | ✓ | P1 | M2, Week 20 | 2 days | | - Real-time transcription display | ✓ | P0 | M1, Week 5 | 1 day | | - Audio response playback | ✓ | P0 | M1, Week 5 | 1 day | | - Voice interruption (barge-in) | ✓ | P1 | M2, Week 20 | 2 days | | - Voice settings | ✓ | P1 | M1, Week 5 | 0.5 day | | - Noise cancellation | ✓ | P2 | M2, Week 20 | 1 day | | **Clinical Context** | 6 features | P1 | Milestone 1 | 1 week | | **File Management** | 4 features | P1 | Milestone 1 | 1 week | | **Citations & Sources** | 5 features | P0 | Milestone 1 | 1 week | | **Conversation Management** | 5 features | P1 | Milestone 1 | 1 week | | **Advanced Features** | 10 features | P2 | Milestone 1,4,6 | 3 weeks | **See:** [WEB_APP_FEATURE_SPECS.md](WEB_APP_FEATURE_SPECS.md) for detailed specifications --- ### 4.2 Admin Panel Features (38 Total) | Category | Features | Priority | Milestone | Effort | | ----------------------------- | ----------- | -------- | ----------- | ------ | | **Dashboard** | 8 features | P0 | Milestone 2 | 1 week | | **Knowledge Base Management** | 12 features | P0 | Milestone 2 | 1 week | | **AI Model Configuration** | 6 features | P1 | Milestone 2 | 1 week | | **Analytics** | 6 features | P1 | Milestone 2 | 1 week | | **Integration Management** | 6 features | P1 | Milestone 2 | 1 week | **See:** [ADMIN_PANEL_FEATURE_SPECS.md](ADMIN_PANEL_FEATURE_SPECS.md) for detailed specifications --- ### 4.3 Documentation Site Features (15 Total) | Category | Features | Priority | Milestone | Effort | | ------------------------ | ---------- | -------- | ----------- | -------- | | **Content Management** | 5 features | P0 | Milestone 2 | 1 week | | **Interactive Elements** | 5 features | P1 | Milestone 2 | 1 week | | **Navigation** | 5 features | P0 | Milestone 2 | 0.5 week | **See:** [DOCS_SITE_FEATURE_SPECS.md](DOCS_SITE_FEATURE_SPECS.md) for detailed specifications --- ## 5. Dependencies & Prerequisites ### 5.1 Technical Dependencies **For Milestone 1 (Frontend Foundation):** - ✅ Backend API (Phases 0-15 complete) - ✅ WebSocket endpoint (`/api/realtime/ws`) - ✅ Authentication API (`/api/auth/*`) - ✅ Chat API endpoints - ✅ File upload API endpoints - [ ] Design system assets (colors, logos, icons) - [ ] Brand guidelines **For Milestone 2 (Admin Panel & Voice):** - ✅ Admin API (`/api/admin/*`) - ✅ KB management API (`/api/admin/kb/*`) - [ ] OIDC provider configuration (Nextcloud) - [ ] WebRTC infrastructure - [ ] Audio codec optimization **For Milestone 3 (Advanced AI):** - [ ] GPU infrastructure for BioGPT/PubMedBERT - [ ] Training datasets (licensed) - [ ] Model evaluation framework **For Milestone 5 (External Integrations):** - [ ] UpToDate license (~$500-1000/month) - [ ] API keys for OpenEvidence, PubMed - [ ] Hospital partnerships for EMR integration --- ### 5.2 Team Dependencies **Milestone 1-2 (Weeks 1-20):** - 2-3 frontend developers (React/TypeScript) - 1 UI/UX designer (part-time, for design system) **Milestone 3-4 (Weeks 21-36):** - 1-2 frontend developers - 1 AI/ML engineer (for BioGPT/PubMedBERT) **Milestone 5-6 (Weeks 37-52):** - 1-2 frontend developers - 1 integration engineer (for EMR/FHIR) - 1 DevOps engineer (for infrastructure scaling) --- ### 5.3 External Dependencies **Required Licenses:** - UpToDate API license (~$500-1000/month) - OpenEvidence API access - PubMed API key (free) - Algolia DocSearch (docs site) - Sentry (error tracking) **Optional/TBD:** - DataDog or New Relic (telemetry) - Crowdin or Lokalise (i18n) - FHIR compliance certification --- ## 6. Open Questions & Decisions ### 6.1 Design & UX (5 questions) #### Q1: Design System Availability **Question:** Does a design system already exist (Figma/Sketch files)? **Impact:** HIGH - Affects Week 1-2 timeline **Options:** - **A)** Existing design system available → Use as-is, create tokens from it - **B)** Partial design system → Complete missing pieces - **C)** No design system → Create from scratch using medical UI best practices **Provisional Answer:** Assume **Option C** (no existing design system). Plan to: - Use medical UI references (Medscape, UpToDate, Epic MyChart) - Create professional medical color palette (blues, teals, grays) - Prioritize trust-building design language - Timeline: 2 weeks for complete design system **Decision Needed By:** Before Milestone 1 starts --- #### Q2: Storybook Setup **Question:** Should Storybook be part of the initial monorepo setup? **Impact:** MEDIUM - Affects Week 1-2 tasks **Options:** - **A)** Yes, set up Storybook in Week 1-2 → Better component documentation - **B)** Defer to Week 10+ → Faster initial setup **Provisional Answer:** Recommend **Option A**. Benefits: - Component documentation from day 1 - Visual testing during development - Accessibility testing integration (axe-core) - Easier collaboration with designers **Decision Needed By:** Week 1 --- #### Q3: Component Library Strategy **Question:** Should we use shadcn/ui as-is or fork and customize? **Impact:** MEDIUM - Affects maintainability **Options:** - **A)** Use shadcn/ui as-is → Easier updates - **B)** Fork and customize → More control, harder updates **Provisional Answer:** Recommend **Option A** with theme customization via design tokens. Fork only if needed later. --- #### Q4: Dark Mode Priority **Question:** Should dark mode be MVP or can it be deferred? **Impact:** LOW - Can be added later **Options:** - **A)** MVP (Week 2) → More work upfront - **B)** Defer to Week 10+ → Faster MVP **Provisional Answer:** Recommend **Option B** (defer to Week 10). Focus on light mode first, add dark mode in Polish phase. --- #### Q5: Mobile App Strategy **Question:** Should we plan for mobile apps (iOS/Android) or stick to responsive web? **Impact:** HIGH - Future roadmap **Options:** - **A)** Responsive web only (PWA) → Simpler - **B)** Native mobile apps later → Better UX, more complex **Provisional Answer:** Recommend **Option A** for now. Build excellent responsive PWA, evaluate native apps after Milestone 2 based on user feedback. --- ### 6.2 Infrastructure & Operations (4 questions) #### Q6: Deployment Strategy **Question:** Should frontend apps deploy to the same Ubuntu server or separate infrastructure? **Impact:** HIGH - Affects deployment architecture **Options:** - **A)** Same Ubuntu server → Simpler, single point of failure - **B)** Separate infrastructure (Vercel/Netlify for frontend) → Better scalability - **C)** Kubernetes cluster for all → Most complex, most scalable **Provisional Answer:** Recommend **Option B** (hybrid approach): - **Backend:** Ubuntu server (existing, production-ready) - **Frontend:** Vercel or Netlify (static hosting, global CDN) - **Benefits:** - Frontend updates don't affect backend - Global CDN for faster load times - Automatic SSL and preview deployments - Free tier sufficient for testing **Decision Needed By:** Week 1-2 --- #### Q7: Staging Environments **Question:** Do we need separate staging/production environments for frontend? **Impact:** MEDIUM - Affects testing workflow **Options:** - **A)** Yes, separate staging → Safer, more resources needed - **B)** No, test locally + preview deployments → Faster, riskier **Provisional Answer:** Recommend **Option A**. Set up: - **Staging:** staging.voiceassist.asimo.io, staging-admin.voiceassist.asimo.io - **Production:** voiceassist.asimo.io, admin.voiceassist.asimo.io - Use Vercel/Netlify preview deployments for PRs - Staging environment for final QA before production --- #### Q8: CI/CD Platform **Question:** What CI/CD platform is preferred (GitHub Actions, GitLab CI, CircleCI)? **Impact:** LOW - Most platforms are similar **Options:** - **A)** GitHub Actions → Already using for backend - **B)** GitLab CI → If moving to GitLab - **C)** CircleCI → Additional cost **Provisional Answer:** Recommend **Option A** (GitHub Actions). Benefits: - Already configured for backend - Tight integration with GitHub - Free for public repos, generous limits for private - Good monorepo support with Turborepo --- #### Q9: Telemetry Provider **Question:** Which telemetry provider is preferred (Sentry, DataDog, New Relic)? **Impact:** MEDIUM - Affects cost and features **Options:** - **A)** Sentry → Good error tracking, affordable - **B)** DataDog → Full observability, expensive - **C)** New Relic → Balanced, moderate cost - **D)** Self-hosted (Grafana Loki + Tempo) → Free, more work **Provisional Answer:** Recommend **Option A** (Sentry) for client-side errors + **Option D** (self-hosted) for backend observability: - **Client-side:** Sentry ($26/month for 50k errors/month) - **Backend:** Existing Grafana stack (Prometheus, Loki, Jaeger) - **Benefits:** Best of both worlds, reasonable cost **Budget:** ~$300-500/month for Sentry (production volume) **Decision Needed By:** Week 19 (when implementing telemetry package) --- ### 6.3 External Dependencies (5 questions) #### Q10: UpToDate Licensing **Question:** What's the budget for UpToDate licensing (~$500-1000/month)? **Impact:** HIGH - Affects Milestone 5 **Options:** - **A)** Approved budget → Integrate UpToDate - **B)** No budget → Focus on free sources (PubMed, OpenEvidence) **Provisional Answer:** **Budget approval needed.** UpToDate provides: - 11,500+ clinical topics - Drug interaction database - Diagnostic algorithms - Evidence-based recommendations **Alternative:** If no budget, focus on: - PubMed (free) - OpenEvidence (free tier) - Clinical practice guidelines (free) **Decision Needed By:** Before Milestone 5 (Week 37) --- #### Q11: External API Priorities **Question:** What's the priority for each external integration? **Impact:** MEDIUM - Affects Milestone 5 sequencing **Options:** Rank priority: - [ ] UpToDate - [ ] OpenEvidence - [ ] PubMed - [ ] Clinical trial databases - [ ] Drug information systems **Provisional Answer:** Recommend prioritization: 1. **PubMed** (P1) - Free, large dataset, essential for citations 2. **OpenEvidence** (P1) - Free tier, evidence-based medicine 3. **UpToDate** (P0 if licensed, P3 if not) - Best clinical decision support 4. **Drug information** (P2) - Important for safety 5. **Clinical trials** (P3) - Nice to have **Decision Needed By:** Week 35 --- #### Q12: EMR Integration Targets **Question:** Are there specific hospital partners or EMR systems to target first? **Impact:** HIGH - Affects Milestone 7+ (future) **Options:** - **A)** Specific hospital partnership → Focus on their EMR - **B)** Most popular EMRs → Epic, Cerner, Allscripts - **C)** Generic FHIR → Works with all compliant systems **Provisional Answer:** Recommend **Option C** (generic FHIR first): - HL7 FHIR R4 standard support - Works with most major EMRs - Start with read-only (patient data access) - Expand to read-write later **Timeline:** Defer to Milestone 7+ (Month 13+) **Decision Needed By:** Before starting EMR integration work --- #### Q13: Hospital Partnership Timeline **Question:** What's the timeline for hospital partnership discussions? **Impact:** MEDIUM - Affects EMR integration planning **Options:** - **A)** Active discussions ongoing → Plan for near-term integration - **B)** No active partnerships → Focus on generic FHIR **Provisional Answer:** Assume **Option B** for now. Focus on: - Generic FHIR R4 support - Demo environment with synthetic data - Case studies and pilot programs **Decision Needed By:** Month 6 --- #### Q14: FHIR Certification **Question:** Is there budget for HL7 FHIR compliance certification? **Impact:** MEDIUM - Affects EMR integration credibility **Cost:** ~$5,000-10,000 **Options:** - **A)** Yes → Pursue certification - **B)** No → Self-certification **Provisional Answer:** Defer certification to **Month 12+**. First: - Build FHIR R4 support - Test with major EMRs - Validate compliance - Then pursue certification if needed for partnerships --- ### 6.4 Compliance & Security (3 questions) #### Q15: Offline Mode PHI **Question:** What are the regulatory constraints on offline PHI storage? **Impact:** HIGH - Affects Milestone 6 **Options:** - **A)** PHI allowed offline with encryption → Full offline mode - **B)** PHI not allowed offline → Non-PHI only - **C)** Unsure → Consult compliance officer **Provisional Answer:** Recommend **Option C** → Consult with HIPAA compliance officer. Preliminary approach: - **Assume Option B** (non-PHI only) for safety - Offline mode for: - Conversation history (de-identified) - Medical knowledge base articles - User preferences - **No offline storage for:** - Patient demographics - Clinical context - Lab results - Any identifiable data **Decision Needed By:** Before Milestone 6 (Week 45) --- #### Q16: GDPR Priority **Question:** Is European deployment a near-term goal? **Impact:** MEDIUM - Affects Milestone 5 **Options:** - **A)** Yes → GDPR compliance in Milestone 5 - **B)** No → Defer GDPR to later **Provisional Answer:** Recommend **Option B** (defer unless European deployment is confirmed). If needed: - Right to be forgotten (user data deletion) - Data portability (export user data) - Consent management - Data residency options **Decision Needed By:** Week 40 --- #### Q17: Data Residency Options **Question:** Should we implement data residency options (US, EU regions)? **Impact:** MEDIUM - Affects architecture **Options:** - **A)** Yes → Multi-region deployment - **B)** No → US-only for now **Provisional Answer:** Recommend **Option B** (US-only) initially. Multi-region can be added later: - Deploy to US East initially - Add EU region if needed for GDPR - Use global CDN for frontend (Vercel/Netlify) --- ### 6.5 AI & Machine Learning (5 questions) #### Q18: GPU Infrastructure **Question:** Do we have budget/resources for GPU infrastructure? **Impact:** HIGH - Affects Milestone 3 **Cost:** ~$500-1500/month for GPU instances **Options:** - **A)** Yes → BioGPT/PubMedBERT integration - **B)** No → Continue with OpenAI embeddings **Provisional Answer:** Recommend **Option A** if budget allows: - AWS EC2 g4dn.xlarge (~$500/month) - Or use serverless inference (AWS SageMaker, Hugging Face Inference API) - Benefits: - Medical-specific embeddings (higher accuracy) - Lower cost per query (vs OpenAI) - Data sovereignty **Decision Needed By:** Week 20 (before Milestone 3) --- #### Q19: Model Training Strategy **Question:** Should we fine-tune models or use prompt engineering? **Impact:** MEDIUM - Affects accuracy and cost **Options:** - **A)** Fine-tune models → Higher accuracy, more work - **B)** Prompt engineering only → Faster, less control - **C)** Hybrid → Fine-tune embeddings, prompt engineer LLM **Provisional Answer:** Recommend **Option C** (hybrid): - **Fine-tune:** Embeddings (BioGPT/PubMedBERT) for better retrieval - **Prompt engineering:** LLM (GPT-4) for generation - **Benefits:** Best of both worlds --- #### Q20: Model Evaluation **Question:** What's the strategy for model evaluation and benchmarking? **Impact:** MEDIUM - Affects quality assurance **Options:** - **A)** Manual evaluation by medical experts - **B)** Automated benchmarks (MedQA, PubMedQA) - **C)** Hybrid **Provisional Answer:** Recommend **Option C** (hybrid): - **Automated:** Use MedQA, PubMedQA, USMLE questions - **Manual:** Clinical experts review 100 sample queries - **Continuous:** A/B testing in production with feedback --- #### Q21: Multi-Modal AI Use Cases **Question:** What medical image analysis use cases are highest priority? **Impact:** MEDIUM - Affects Milestone 6 **Options:** Rank priority: - [ ] Radiology (X-ray, CT, MRI) - [ ] Dermatology (skin lesions) - [ ] Pathology (microscopy) - [ ] Wound assessment - [ ] ECG interpretation **Provisional Answer:** Recommend prioritization: 1. **Dermatology** (P1) - Simpler, well-defined, large training datasets 2. **Wound assessment** (P1) - Useful for telehealth 3. **ECG interpretation** (P2) - Requires specialized models 4. **Radiology** (P3) - Most complex, liability concerns 5. **Pathology** (P3) - Requires specialized hardware **Decision Needed By:** Week 45 --- #### Q22: Medical Image Datasets **Question:** Do we have access to labeled medical image datasets? **Impact:** HIGH - Affects Milestone 6 **Options:** - **A)** Yes, licensed datasets → Train custom models - **B)** No → Use pre-trained models only (GPT-4 Vision) **Provisional Answer:** Recommend **Option B** (pre-trained models) initially: - GPT-4 Vision for general medical images - Evaluate accuracy before investing in custom models - Datasets available if needed: - HAM10000 (dermatology, free) - ChestX-ray14 (radiology, free) - MIMIC-CXR (radiology, requires license) --- #### Q23: AI Diagnosis Liability **Question:** What are the liability considerations for AI-assisted diagnosis? **Impact:** HIGH - Legal/regulatory **Options:** - **A)** Decision support only (no diagnosis) → Lower liability - **B)** Diagnostic assistance with disclaimers → Medium liability - **C)** Full diagnostic system → High liability, FDA approval **Provisional Answer:** Recommend **Option A** (decision support only): - Clear disclaimers: "For educational and decision support purposes only" - "Not a substitute for professional medical judgment" - "Always verify with primary sources and clinical guidelines" - No direct diagnostic claims - User acknowledgment on first use **Decision Needed By:** Before any image analysis feature --- ### 6.6 Summary of Open Questions **Total Questions:** 23 **Critical Decisions (needed before starting):** 8 - Q1: Design system availability - Q2: Storybook setup - Q6: Deployment strategy - Q10: UpToDate licensing - Q15: Offline mode PHI - Q18: GPU infrastructure - Q22: Medical image datasets - Q23: AI diagnosis liability **Medium Priority (needed by specific milestones):** 10 **Low Priority (can be decided later):** 5 --- ## 7. Success Metrics ### 7.1 Technical Metrics **Performance:** - Frontend initial load: < 2s - Time to interactive: < 3s - API P95 latency: < 200ms - Voice mode latency: < 500ms - WebSocket connection stability: > 99% - Cache hit rate: > 90% **Quality:** - Test coverage: > 80% (client), > 90% (backend) - Code review completion: 100% - Security vulnerabilities: 0 critical, 0 high - Accessibility: WCAG 2.1 AA (automated + manual) - TypeScript strict mode: 100% **Reliability:** - System uptime: > 99.9% - Error rate: < 0.1% - RTO: < 30 minutes - RPO: < 1 minute --- ### 7.2 Business Metrics **Adoption:** - Monthly Active Users (MAU) - Target: 1,000 by Month 6 - Daily Active Users (DAU) - Target: 300 by Month 6 - DAU/MAU ratio: > 30% - Feature adoption rates - User retention (30-day): > 60% - User retention (90-day): > 40% **Satisfaction:** - Net Promoter Score (NPS): > 50 - User satisfaction (CSAT): > 4.5/5 - Support ticket volume: < 5% of MAU - Query success rate: > 85% **Efficiency:** - Time to answer: < 30 seconds - Queries per session: 3-5 average - Session duration: 5-10 minutes average - Cost per query: decreasing trend --- ### 7.3 AI Quality Metrics **RAG Performance:** - Retrieval precision: > 85% - Retrieval recall: > 80% - Answer accuracy: > 90% - Citation relevance: > 95% **User Feedback:** - Positive feedback rate: > 80% - Correction rate: < 10% - Query reformulation rate: < 20% - Sources cited per answer: 2-4 average --- ## 8. Risk Management ### 8.1 High-Risk Items **1. Frontend Development Timeline Overrun** - **Risk:** 20-week timeline may extend due to complexity - **Probability:** MEDIUM - **Impact:** HIGH - **Mitigation:** - Agile approach with 2-week sprints - MVP features first (defer nice-to-have) - Parallel development when possible - Buffer time in each phase - **Contingency:** - Phased rollout (web app → admin panel → docs site) - Defer advanced features to Milestone 4+ - Add developer if needed --- **2. Voice Pipeline Complexity** - **Risk:** Full voice pipeline (WebRTC, VAD, barge-in) more complex than estimated - **Probability:** MEDIUM - **Impact:** HIGH - **Mitigation:** - Start with basic push-to-talk (Week 5) - Evaluate WebRTC early (Week 10) - Consider commercial solutions (Twilio, Agora) - Budget 3-4 weeks for full pipeline (Week 20) - **Contingency:** - Use OpenAI Realtime API only (simpler) - Defer advanced features (VAD, barge-in) to Milestone 4 --- **3. External API Costs** - **Risk:** UpToDate, OpenAI costs may exceed budget - **Probability:** MEDIUM - **Impact:** MEDIUM - **Mitigation:** - Caching (Redis, IndexedDB) - Rate limiting per user - Cost monitoring dashboard - Monthly budget alerts - **Contingency:** - Usage caps (queries per user per day) - Tiered access (free tier with limits) - Alternative providers (BioGPT instead of OpenAI) --- **4. EMR Integration Complexity** - **Risk:** FHIR integration more complex than estimated - **Probability:** HIGH - **Impact:** HIGH - **Mitigation:** - Partner with EMR integration consultants - Use FHIR libraries (HAPI FHIR) - Start with read-only access - Extensive testing with sandbox environments - **Contingency:** - Focus on most popular EMR systems first - Offer manual data entry as fallback - Defer to Milestone 7+ (Month 13+) --- **5. Offline Mode PHI Security** - **Risk:** PHI exposure in offline storage violates HIPAA - **Probability:** LOW - **Impact:** CRITICAL - **Mitigation:** - Consult with HIPAA compliance officer early - Encrypted local storage (AES-256) - Auto-expiration of offline data - Compliance review before launch - **Contingency:** - Non-PHI offline mode only - Require online connection for clinical features --- **6. Medical AI Accuracy Issues** - **Risk:** AI provides inaccurate medical information - **Probability:** MEDIUM - **Impact:** CRITICAL - **Mitigation:** - Clear disclaimers throughout app - Multiple source citations required - Confidence scoring shown to user - Medical expert review of 100 sample queries - Automated benchmarks (MedQA, PubMedQA) - **Contingency:** - More conservative responses - "Consult primary sources" warnings - Fallback to search-only mode --- ### 8.2 Medium-Risk Items **7. Design System Delays** - **Risk:** Creating design system from scratch takes longer than 2 weeks - **Mitigation:** Use existing medical UI patterns, shadcn/ui base - **Contingency:** Extend Phase 0 to 3 weeks if needed **8. Accessibility Compliance** - **Risk:** WCAG 2.1 AA not achieved on first pass - **Mitigation:** Accessibility from day 1, axe-core testing, expert review - **Contingency:** Dedicated accessibility sprint in Week 10 **9. Multi-Language Support** - **Risk:** i18n adds complexity, slows development - **Mitigation:** Start with English only, add i18n in Milestone 4 - **Contingency:** Defer to Milestone 5+ if budget allows translation services **10. Performance Issues** - **Risk:** Frontend performance below targets (< 2s load) - **Mitigation:** Performance budget, code splitting, lazy loading, Lighthouse CI - **Contingency:** Performance optimization sprint in Week 10 --- ### 8.3 Low-Risk Items **11. Third-Party Library Changes** - **Risk:** Breaking changes in React, shadcn/ui, etc. - **Mitigation:** Pin versions, review changelogs before updating - **Contingency:** Minimal impact, update when convenient **12. Team Availability** - **Risk:** Developer illness, vacation, etc. - **Mitigation:** Cross-training, documentation, overlap - **Contingency:** Adjust timeline by 1-2 weeks if needed --- ## 9. Appendices ### Appendix A: Technology Stack Summary **Frontend Core:** - React 18.2+, TypeScript 5.0+ - Vite 5.0+, pnpm workspaces - Tailwind CSS 3.4+, shadcn/ui, Radix UI - Zustand 4.0+ (state) - React Hook Form 7.0+ (forms) - React Router 6.0+ (routing) **Backend (Existing):** - FastAPI, Python 3.11+ - PostgreSQL 15 (pgvector), Redis 7, Qdrant - OpenAI GPT-4, OpenAI embeddings **Testing:** - Vitest (unit), Playwright (e2e) - React Testing Library - MSW (API mocking) **CI/CD:** - GitHub Actions - Vercel or Netlify (frontend hosting) - Docker (backend) **Monitoring:** - Sentry (client errors) - Grafana stack (backend observability) --- ### Appendix B: Effort Estimation Summary | Category | Subtotal Effort | Timeline | | -------------------------------------- | --------------- | ------------- | | **Milestone 1: Frontend Foundation** | 10 weeks | Weeks 1-10 | | **Milestone 2: Admin Panel & Voice** | 10 weeks | Weeks 11-20 | | **Milestone 3: Advanced AI** | 8 weeks | Weeks 21-28 | | **Milestone 4: Platform Enhancements** | 8 weeks | Weeks 29-36 | | **Milestone 5: External Integrations** | 8 weeks | Weeks 37-44 | | **Milestone 6: Advanced Features** | 8 weeks | Weeks 45-52 | | **Total** | **52 weeks** | **12 months** | **Note:** Assumes 2-3 developers working in parallel. Some tasks can be parallelized. --- ### Appendix C: Document References **Client Implementation Planning:** - [Master Implementation Plan](MASTER_IMPLEMENTATION_PLAN.md) (original 20-week plan) - [Technical Architecture](TECHNICAL_ARCHITECTURE.md) - [Web App Feature Specs](WEB_APP_FEATURE_SPECS.md) - [Admin Panel Feature Specs](ADMIN_PANEL_FEATURE_SPECS.md) - [Docs Site Feature Specs](DOCS_SITE_FEATURE_SPECS.md) - [Integration Guide](INTEGRATION_GUIDE.md) - [Development Workflow](DEVELOPMENT_WORKFLOW.md) **Continuous Improvement:** - [Continuous Improvement Plan](../CONTINUOUS_IMPROVEMENT_PLAN.md) (comprehensive 52-week roadmap) - [Continuous Improvement Summary](../CONTINUOUS_IMPROVEMENT_SUMMARY.md) **Backend Phase Reports:** - [Phase 4 Completion Report](../PHASE_04_COMPLETION_REPORT.md) - [Phase 5 Completion Report](../PHASE_05_COMPLETION_REPORT.md) - [Phase 6 Completion Report](../PHASE_06_COMPLETION_REPORT.md) - [Implementation Status](../overview/IMPLEMENTATION_STATUS.md) --- ### Appendix D: Glossary **Key Terms:** - **RAG:** Retrieval-Augmented Generation - **FHIR:** Fast Healthcare Interoperability Resources (HL7 standard) - **OIDC:** OpenID Connect (authentication protocol) - **PWA:** Progressive Web App - **VAD:** Voice Activity Detection - **PHI:** Protected Health Information (HIPAA) - **WCAG:** Web Content Accessibility Guidelines - **MVP:** Minimum Viable Product - **MAU/DAU:** Monthly/Daily Active Users - **NPS:** Net Promoter Score --- ## 10. Conclusion This unified roadmap provides a comprehensive, reconciled plan for: 1. Completing all deferred backend features from Phases 4-6 2. Building three production-ready client applications 3. Adding platform enhancements (design system, i18n, PWA, telemetry) 4. Integrating external medical databases and EMR systems 5. Advancing AI capabilities (multi-modal, multi-hop, specialized models) **Total Timeline:** 52 weeks (12 months) across 6 major milestones **Total Features:** 98+ across all applications **Team Size:** 2-3 developers (scaling to 4-6 for advanced features) **Next Steps:** 1. Review and approve this roadmap 2. Answer the 23 open questions (8 critical, 10 medium, 5 low priority) 3. Begin Milestone 1, Week 1: Monorepo setup and design tokens 4. 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