AI+ Healthcare Administrator

EDU Trainings s.r.o.

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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

Cieľová skupina

Healthcare Administrators: Professionals seeking to modernize operations, enhance efficiency, and integrate AI into daily workflows.
Hospital and Clinic Managers: Leaders aiming to optimize staffing, resource allocation, and patient-flow management using AI tools.
Healthcare Operations Specialists: Individuals focused on improving scheduling, billing, compliance, and process automation through intelligent systems.
Health Information & EHR Professionals: Those managing digital records or health informatics who want to leverage AI for accuracy, analytics, and workflow improvement.
Aspiring Healthcare Leaders: Early-career professionals looking to build AI-driven administrative skills to stay competitive in evolving healthcare environments.

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