Building a Production-Ready AI-Native Healthcare ERP System
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Building a Production-Ready AI-Native Healthcare ERP System

Beginner

1. Introduction to Healthcare ERP and AI Concepts

  • 1. Understanding Healthcare ERP Systems: Scope and Components
  • 2. Introduction to AI and AI-Native Software Principles
  • 3. Why AI Agents for Healthcare Operations?
  • 4. Overview of Hospital Operations and Key ERP Modules

2. Architecting the AI-Native Healthcare ERP System

  • 1. Design Principles for Scalable and Modular ERP Systems
  • 2. Microservices and Agent-Based Architecture Explained
  • 3. Defining AI Agents for Key ERP Functions
  • 4. Data Flow and Integration Between Agents and Modules
  • 5. Security and Compliance Considerations for Healthcare Data

3. Building Key AI Agents and Integration

  • 1. Developing AI Agents for Hospital Operations and Appointment Scheduling
  • 2. AI Agents for Patient and Pharmacy Management
  • 3. Building AI Agents for Lab Management and Billing Automation
  • 4. Inventory and HR AI Agents Development
  • 5. Integrating AI Agents into a Unified ERP Platform

4. Technologies and Skills for Production Deployment

  • 1. Cloud Infrastructure and Containerization (Docker, Kubernetes)
  • 2. AI and Machine Learning Frameworks (TensorFlow, PyTorch, NLP APIs)
  • 3. Backend and API Development (REST, GraphQL)
  • 4. Data Storage Solutions: SQL, NoSQL, and Healthcare Data Standards
  • 5. Security, Compliance, and Scalability Best Practices
  • 6. Monitoring, Logging, and Continuous Integration/Deployment

5. Putting It All Together: Case Studies and Hands-On Projects

  • 1. Case Study: AI Agents for Appointment and Patient Management
  • 2. Hands-On Project: Building Pharmacy and Inventory Agents
  • 3. Case Study: Integrating Billing, HR, and Analytics Agents
  • 4. Deploying the Healthcare ERP: Putting It in Production