AI+ Medical Assistant

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

Course Overview:

This course focuses on achieving patient interaction excellence and clinical workflow efficiency by teaching how AI streamlines communication, scheduling, and medical record management. Participants will gain expertise in data-driven decision support, learning to use AI for accurate diagnostics, treatment suggestions, and continuous patient monitoring. By mastering AI-driven administrative tasks, learners will be prepared to reduce errors and improve accuracy while supporting healthcare teams with faster decision-making. Ultimately, this program ensures professionals are equipped to optimize clinical operations and the overall patient experience through strategic AI integration.

Recommended Prerequisites:

• Basic Medical Terminology: Familiarity with healthcare concepts and terminology.
• Foundational Knowledge in AI: Understanding of machine learning and algorithms.
• Data Analytics Skills: Ability to analyze and interpret medical data.
• Programming Skills: Proficiency in Python or similar languages for AI tools.
• Understanding of Healthcare Systems: Knowledge of clinical workflows and medical practices.

Course Outline:

Lesson 1: Fundamentals of AI for Medical Assistants

• Understanding AI and Its Healthcare Applications
• The Role of AI in Medical Assistance
• Case Studies
• Hands-on Session: Functionality Survey and Stepwise Analysis of the Eka.care Patient-Side Application

Lesson 2: Data Literacy for Medical Assistants

• 2.1 Healthcare Data Types and Management
• 2.2 Using Data Effectively in AI
• 2.3 Case Studies
• 2.4 Hands-On Session: Structured vs. Unstructured Data in Healthcare: A Practical Study Using Eka.Care Patient Health Record System

Lesson 3: AI in Patient Care Optimization

• 3.1 Enhancing Patient Interactions with AI
• 3.2 Predictive Analytics and Workflow Management
• 3.3 Case Studies
• 3.4 Hands-On Session: Eka.care in Action: Appointment Management, Smart Reminders & Tele-Consult Dashboards

Lesson 4: NLP and Generative AI in Medical Documentation

• 4.1 Foundations of NLP for Medical Assistants
• 4.2 Practical Applications and Risks
• 4.3 Case Studies
• 4.4 Hands-On Simulation Exercise
• 4.5 Hands-On Session: Automating Clinical Documentation Using Eka.care: Notes, Summaries, and Communication Workflows

Lesson 5: AI in Diagnostics and Screening

• 5.1 Diagnostic Support Tools
• 5.2 Real-World Applications and Simulation
• 5.3 Use Cases
• 5.4 Hands-On: AI-Powered Detection of Common Health Conditions: Review and Analysis of AI-Suggested Diagnostic Insights using Eka Care

Lesson 6: Ethics, Bias, and Regulation in AI for Healthcare

• 6.1 Recognizing and Addressing Bias in AI
• 6.2 Legal, Ethical, and Compliance Frameworks
• 6.3 Hands-On Exercise: Analyzing and Visualizing Bias in Artificial Intelligence Systems — Exploring Racial, Socioeconomic, and Demographic Disparities using Google’s What-If Tool

Lesson 7: Evaluating and Implementing AI Tools

• 7.1 Selecting and Planning for AI Adoption
• 7.2 Best Practices and Stakeholder Engagement
• 7.3 Case Study: Procurement and Early Deployment of AI Tools for Chest Diagnostics in a National Health Service Setting
• 7.4 Hands-On Simulation Exercise: Recognizing Red Flags in Vendor Solutions for AI in Medical Assistant
• 7.5 Hands-On Exercises: Evaluating the Relevance and Effectiveness of AI Models using the Zoho Analytics

Lesson 8: Cybersecurity and Emerging Trends in AI

• 8.1 Cybersecurity Risks and Protection
• 8.2 Future Trends and Preparing for Innovation
• 8.3 Case Studies: EY’s Strategic Transformation: Adapting to Emerging AI Technologies
• 8.4 Hands-On Exercises: Common Cybersecurity Threats in AI-Enabled Healthcare: A Hands-On Exploration Using Google Sheets

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.