Recommended Prerequisites:
- Basic Understanding of Healthcare Systems: Familiarity with healthcare operations and structures.
- Fundamental Knowledge of AI Concepts: Understanding machine learning and AI fundamentals.
- Data Privacy and Security Awareness: Knowledge of HIPAA and data protection laws.
- Project Management Skills: Ability to manage healthcare AI implementation projects.
- Familiarity with Healthcare Software: Experience with electronic health records (EHR) and healthcare platforms.
Course Outline:
Lesson 1: Fundamentals of AI for Healthcare Administrators
- Understanding of AI
- AI in Healthcare Operations
- Case Study
- Hands-On: No-Code AI-Based Chest X-ray Classification for COVID-19 and Lung Conditions Using Google Teachable Machine
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 9: Becoming an AI Champion in Admin Settings
- 9.1 Introduction: Why This Lesson 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
