Course 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.
Modules:
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
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
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: Implementing AI-Powered HR Automation in a Multi-Speciality
4.4 Case Study: AI-Driven Meeting Summarization for Compliance & Policy Updates
4.5 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
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 AI Champion Roles: Who Leads What?
9.7 Step-by-Step Guide: No-Code AI for Medical Claim Denial Prediction Using