AI+ Healthcare Administrator

Hours: 8 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 8
Retail Price: $195.00

Course Overview:

This course empowers leaders to transform healthcare management through intelligent administration, utilizing AI to streamline billing, scheduling, and staff workflows for operational excellence. Participants will master resource optimization using predictive analytics and demand forecasting to ensure precise, data-driven decision-making across hospital operations. By integrating essential regulatory knowledge with leadership strategies for digital record-keeping and patient flow, this program equips you to drive organizational change and sustainable cost control.

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

All necessary course materials are included.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.