# 📚 Complete Documentation Index ## Quick Start (5 minutes) **New to the project?** Start here: - **[QUICK_REFERENCE.md](QUICK_REFERENCE.md)** - One-page overview of all features ## Feature Documentation Learn what the application can do: - **[FEATURES.md](FEATURES.md)** - Complete feature guide with examples - Authentication system overview - Chat history persistence - Role-based access control - Visualization dashboard - Production recommendations ## Deployment Guides ### For Azure Deployment (Recommended - 30 minutes) 1. **[PRODUCTION_QUICKSTART.md](PRODUCTION_QUICKSTART.md)** - Step-by-step Azure deployment - Set up Azure resources - Configure secrets - Build and push Docker image - Deploy to Azure Container Instances ### For All Deployment Platforms (Comprehensive) - **[PRODUCTION_DEPLOYMENT.md](PRODUCTION_DEPLOYMENT.md)** - Complete deployment reference - Multiple platform options (Azure, Docker, K8s, Heroku, On-premises) - HTTPS/SSL configuration - Monitoring & logging - Backup & recovery - Production security checklist - Troubleshooting guide ### For General Deployment Information - **[DEPLOYMENT.md](DEPLOYMENT.md)** - Original deployment guide - General setup instructions - Docker and cloud options - Security considerations ## Project Information ### Understanding the Project - **[README.md](README.md)** - Project mission and background - The Open Nursing Core (ONC) initiative - Acknowledgments and leadership - Licensing information ### Progress Tracking - **[PHASE1_COMPLETE.md](PHASE1_COMPLETE.md)** - Phase 1 completion report - What was accomplished - Code metrics - Next phase recommendations ## File Organization ``` open-nursing-core-ig/ ├── 📄 Documentation │ ├── README.md ← Project overview │ ├── QUICK_REFERENCE.md ← Start here (5 min read) │ ├── FEATURES.md ← Feature documentation │ ├── DEPLOYMENT.md ← General deployment │ ├── PRODUCTION_QUICKSTART.md ← Azure in 30 min │ ├── PRODUCTION_DEPLOYMENT.md ← All platforms (900+ lines) │ ├── PHASE1_COMPLETE.md ← Completion report │ └── INDEX.md ← This file │ ├── 🐍 Python Application │ ├── app.py ← Main Streamlit application │ ├── visualizations.py ← Visualization components │ ├── harvest_fons.py ← Download FoNS articles │ └── ingest_fast.py ← Build knowledge database │ ├── 🐳 Docker & Deployment │ ├── Dockerfile ← Production multi-stage build │ ├── docker-compose.yml ← Local testing environment │ └── .env.production.example ← Configuration template │ ├── 🔧 Configuration │ ├── requirements.txt ← Python dependencies │ ├── ig.ini ← FHIR configuration │ ├── sushi-config.yaml ← SUSHI compiler config │ └── .gitignore ← Git exclusions │ ├── 📊 GitHub Actions │ ├── .github/workflows/publish.yaml ← Build & publish IG │ └── .github/workflows/production-deploy.yml ← CI/CD pipeline │ └── 📁 Data Directories ├── chroma_db_fons/ ← Knowledge database ├── fons_knowledge_base/ ← FoNS articles ├── docs/ ← Generated documentation ├── input/ ← FHIR input files └── output/ ← Generated outputs ``` ## Which File Should I Read? ### "I just want to get started quickly" → Read: **[QUICK_REFERENCE.md](QUICK_REFERENCE.md)** (5 minutes) ### "I want to understand all the features" → Read: **[FEATURES.md](FEATURES.md)** (15 minutes) ### "I want to deploy to Azure right now" → Read: **[PRODUCTION_QUICKSTART.md](PRODUCTION_QUICKSTART.md)** (30 minutes) ### "I need a complete deployment reference" → Read: **[PRODUCTION_DEPLOYMENT.md](PRODUCTION_DEPLOYMENT.md)** (comprehensive) ### "I'm deploying on a specific platform" → Search for your platform in [PRODUCTION_DEPLOYMENT.md](PRODUCTION_DEPLOYMENT.md): - Azure Container Instances - Azure App Service - Kubernetes (AKS) - Docker Compose - Heroku - On-premises servers ### "I need to understand the architecture" → Read: **[PHASE1_COMPLETE.md](PHASE1_COMPLETE.md)** (architecture section) ### "I want to know about security" → Search "Security" in [PRODUCTION_DEPLOYMENT.md](PRODUCTION_DEPLOYMENT.md) ## Key Documentation Highlights ### Authentication & Security - Multi-user login system - 3 user roles (Nurse, Clinician, Admin) - Role-based access control - Chat history per user - Session management - Production security checklist ### Features - Interactive chat with AI - 5-tab dashboard with visualizations - Care plan tracking - Problem assessment - Intervention analysis - Health indicators - Chat export functionality ### Deployment Options - Azure (Recommended - easiest) - Docker Compose (local testing) - Kubernetes (enterprise scale) - Heroku (simplest alternative) - On-premises (full control) ### Code Quality - PEP 8 compliant - Production logging - Error handling - Input validation - Security scanning - Automated testing ## Getting Help ### Have a question? 1. Check the relevant documentation file above 2. Search GitHub Issues: https://github.com/ClinyQAi/open-nursing-core-ig/issues 3. Check Discussions: https://github.com/ClinyQAi/open-nursing-core-ig/discussions ### Found a bug? 1. Open a GitHub Issue with details 2. Check troubleshooting sections in relevant docs ### Want to contribute? 1. Review the code structure 2. Check existing issues/PRs 3. Follow Python PEP 8 standards 4. Add tests for new features ## Project Status **Current Version:** 2.0.0 **Status:** Phase 1 Complete ✅ **Release Date:** November 29, 2025 ### What's Implemented - ✅ Authentication system - ✅ Chat history persistence - ✅ Role-based access control - ✅ Interactive visualizations - ✅ Production-ready code - ✅ Docker/container support - ✅ CI/CD pipeline - ✅ Comprehensive documentation ### What's Next (Phase 2) - [ ] Database integration (PostgreSQL) - [ ] Advanced analytics - [ ] EHR integration - [ ] Mobile app (React Native) ## Quick Links **GitHub Repository:** https://github.com/ClinyQAi/open-nursing-core-ig **Live Documentation:** https://clinyqai.github.io/open-nursing-core-ig/ **Issues & Discussions:** https://github.com/ClinyQAi/open-nursing-core-ig/issues ## 📞 Support For issues or questions: 1. Check the documentation 2. Search existing GitHub issues 3. Open a new issue with details 4. Join discussions for feature requests --- **Last Updated:** November 29, 2025 **Maintainer:** ClinyQAi Team **License:** MIT