AI+ Healthcare Administrator Practitioner™

Course structure

Module 1: Fundamentals of AI for Healthcare Administrators

• 1.1 Understanding of AI
• 1.2 AI in Healthcare Operations
• 1.3 Case Study
• 1.4 Hands-On: No-Code AI-Based Chest X-ray Classification for COVID-19 and Lung Conditions Using Google Teachable Machine

Module 2: Data Literacy for Healthcare Admins

• 2.1 Understanding Healthcare Data Types
• 2.2 Using Data for Decisions
• 2.3 Case Study 1: Apollo Hospital’s AI-Based Discharge Management System
• 2.4 Case Study 2: Cleveland Clinic’s AI Integration for Medical Billing Optimization
• 2.5 Hands-On: No-Code Exploration of a Hospital Analytics Dashboard Using Vizly.ai

Module 3: AI in Operations Optimization

• 3.1 Streamlining Patient Flow and Resource Optimization
• 3.2 Inventory, Maintenance, and Procurement
• 3.3 Case Study 1: AI-Powered Emergency Interhospital Transfers
• 3.4 Case Study 2: AI for Inventory Waste Reduction in Hospital Supply Chains (Mayo Clinic, Cleveland Clinic & Rush University)
• 3.5 Hands-On: AI-Driven Hospital Operations Optimization: A No-Code Predictive Interface Using Julius AI

Module 4: NLP and Generative AI in Admin Work

• 4.1 Foundations of NLP and Chatbots
• 4.2 Writing and Communication Tasks with Generative AI
• 4.3 Case Study: Alleviating Physician Burnout via Clinical Documentation Assistance
• 4.4 Hands-On: Meeting Summarization Assistant for Healthcare Admin

Module 5: AI in Billing, Coding & Claims

• 5.1 AI in Medical Coding and Documentation
• 5.2 Claims Management and Fraud Detection
• 5.3 Hands-On: No-Code AI-Powered Medical Claims Denial Prediction

Module 6: Ethics, Bias & Regulation in Admin AI

• 6.1 Identifying Bias in Administrative AI Tools
• 6.2 Legal & Compliance Considerations
• 6.3 Case Study: AI Triage Failure and Legal Exposure at North Bridge Hospital
• 6.4: Hands-On: Analyzing Hospital Admission Bias with Claude AI

Module 7: Evaluating and Procuring AI Tools

• 7.1 Assessing AI Tools for Quality and Relevance
• 7.2 Implementation Planning and Procurement
• 7.3 Case Study 1: AI-Powered Cancer Detection at Tata Memorial Hospital
• 7.4 Case Study 2: AI-Powered Eye Screening by Forus Health and Microsoft
• 7.5 Hands-On: Healthcare Data Visualization with No-Code BI Tools

Module 8: Telehealth, Virtual Care, and Cybersecurity in the Age of AI

• 8.1 Understanding Cyber Threats in AI-Driven Healthcare
• 8.2 Building a Secure AI-Operations Environment
• 8.3 Case Study 1: WannaCry Attack on NHS (2017)
• 8.4 Case Study 2: Universal Health Services Ransomware Attack (2020)
• 8.5 Hands-On: AI Cybersecurity Risk Dashboard Implementation Using Google Looker Studio

Module 9: Becoming an AI Champion in Admin Settings

• 9.1 Introduction: Why This Module Matters Now
• 9.2 Leading Small-Scale AI Pilots
• 9.3 Identifying Pilot Opportunities in Departments
• 9.4 Stakeholder Alignment: IT, Compliance, Frontline Staff
• 9.5 Building Organizational Readiness
• 9.6 Step-by-Step Guide: No-Code AI for Medical Claim Denial Prediction Using Relevance AI

AI Agent Module - AI+ Healthcare Administrator Practitioner

• 1. What Are AI Agents?
• 2. How Does an AI Agent Work in Healthcare?3. Core Characteristics of AI Agents
• 4. Importance of AI Agents in Healthcare Administration5. Significance for Patient Experience & Hospital Outcomes
• 6. Types of AI Agents?7. Applications and Trends in Healthcare
• 8. Case Study: Johns Hopkins Health System
• 9. Hands-On Lab: Build an AI Agent: Patient Flow Bottleneck Detection Agent (Zapier)