AI+ Medical Assistant - eLearning (exam included)
275,00 EUR
- 16 hours
Step into the future of healthcare with the AI+ Medical Assistant™ Certification, designed to empower you at the cutting edge of medical support and AI innovation. This comprehensive program teaches you how to harness artificial intelligence to streamline clinical workflows, elevate patient interactions, and support faster, data‑informed care decisions—making you an invaluable asset in modern healthcare settings
Key Features
Language
Course and material in English
Level
Beginner-Intermediate level
Access
1 year access to the platform 24/7
8 hours of video lessons & multimedia
16 hours of study time recommendation
eBooks, Audiobooks, Podcasts
Quizzes, Assessments, and Course Resources
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Transform Healthcare with AI-Powered Medical Assistance
Discover how AI can improve patient communication, appointment scheduling, and follow-up care for a better patient experience.
Learning Outcomes
At the end of this course, you will be able to:
AI in Patient Care
Discover how to use AI tools to enhance patient communication, manage appointments, and coordinate follow-up care
Optimizing Clinical Workflows
Gain skills in applying AI to streamline tasks like medical record management, data entry, and lab result analysis
AI-Assisted Diagnostics
Learn how AI-driven tools support clinical decision-making and improve patient care outcomes.
Natural Language Processing (NLP) in Healthcare
Apply NLP to extract, interpret, and organize patient data from medical records for better insights.
AI-Enhanced Patient Monitoring
Master AI tools for remote monitoring and coordination, ensuring real-time health updates and seamless communication
Course timeline
Fundamentals of AI for Medical Assistants
Lesson 1
- Understanding AI and its applications in healthcare
- The role of AI in medical assistance
- Case studies highlighting real-world implementations
- Hands-On Session: Exploring the functionality and workflow of the Eka.care patient-side application
Data Literacy for Medical Assistants
Lesson 2
- Types of healthcare data and management best practices
- Using data effectively to power AI applications
- Case studies demonstrating data-driven insights
- Hands-On Session: Comparing structured vs. unstructured data in Eka.care patient health records
AI in Patient Care Optimization
Lesson 3
- Enhancing patient interactions using AI
- Predictive analytics and workflow management
- Case studies on improving care delivery
- Hands-On Session: Using Eka.care for appointment management, smart reminders, and tele-consult dashboards
NLP and Generative AI in Medical Documentation
Lesson 4
- Foundations of NLP for medical assistants
- Practical applications and associated risks
- Case studies on AI-driven documentation
- Hands-On Simulation: Automating clinical notes, summaries, and communication workflows with Eka.care
AI in Diagnostics and Screening
Lesson 5
- AI diagnostic support tools
- Real-world applications and simulation exercises
- Use cases illustrating AI-assisted detection
- Hands-On: Reviewing AI-generated diagnostic insights for common health conditions using Eka.care
Ethics, Bias, and Regulation in AI for Healthcare
Lesson 6
- Identifying and addressing bias in AI systems
- Legal, ethical, and compliance frameworks in healthcare AI
- Hands-On Exercise: Analyzing bias across racial, socioeconomic, and demographic factors using Google’s What-If Tool
Evaluating and Implementing AI Tools
Lesson 7
- Planning and selecting AI tools for adoption
- Best practices and engaging stakeholders
- Case Study: Early deployment of AI for chest diagnostics in a national health service setting
- Hands-On Exercises: Recognizing red flags in vendor solutions and evaluating AI model effectiveness using Zoho Analytics
Cybersecurity and Emerging Trends in AI
Lesson 8
- Cybersecurity risks and protection strategies in AI healthcare systems
- Future trends and preparing for AI innovation
- Case Studies: Strategic AI transformation initiatives (e.g., EY)
- Hands-On Exercises: Exploring common cybersecurity threats in AI-enabled healthcare using Google Sheets
Tools explored
- TensorFlow
- Keras
- Python
- Natural Language Processing (NLP) Tools
- SQL
- Matplotlib
- PowerBI
- Healthcare Data Integration Tools
- Electronic Health Record (EHR) Systems
- Patient Scheduling and Coordination Platforms
- AI-Powered Diagnostic Tools
- Medical Imaging Analysis Tools
Who Should Enroll in this Program?
Basic Medical Terminology – Familiarity with healthcare concepts and medical language.
Foundational AI Knowledge – Understanding of machine learning principles and algorithms.
Data Analytics Skills – Ability to analyze and interpret healthcare data effectively.
Programming Skills – Proficiency in Python or similar languages for applying AI tools.
Healthcare Systems Understanding – Awareness of clinical workflows and medical practices.
More Details
Prerequisites
- Foundational Knowledge of Healthcare Systems – Understanding of healthcare structures and operational processes.
- Basic AI Awareness – Familiarity with machine learning principles and core AI concepts.
- Data Privacy & Security Understanding – Awareness of HIPAA and healthcare data protection regulations.
- Project Management Capabilities – Ability to oversee and coordinate AI implementation initiatives in healthcare settings.
- Experience with Healthcare Technology – Familiarity with electronic health records (EHR) systems and related healthcare platforms.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
Need corporate solutions or LMS integration?
Didn't find the course or program which would work for your business? Need LMS integration? Write us, we will solve everything!