AI-Powered Telemedicine & Virtual Patient Care
In this course, you’ll learn how to apply AI tools to transform virtual healthcare delivery through smarter diagnostics, continuous remote monitoring, and personalized treatment planning.
Overview
This course includes:
- On-demand videos
- Practice assessments
- Multiple hands-on learning activities
- Exposure to a real-world project
- 100% self-paced learning opportunities
- Certification of completion
Telemedicine is no longer a trend—it’s the future of healthcare. And Artificial Intelligence is the engine driving its evolution. Whether you’re a healthcare provider, digital health strategist, or someone entering the health tech field, learning how to leverage AI tools in virtual patient care is now essential.
This course offers a hands-on, beginner-friendly guide to integrating AI into virtual care workflows. You'll learn how to use intelligent systems for faster diagnosis, remote monitoring, personalized care planning, and 24/7 patient interaction. The goal? Better outcomes, lower costs, and less clinician burnout.
Unlike outdated “video call only” telehealth models, this course focuses on real-world use of AI assistants, predictive dashboards, and patient-specific insights. You’ll build practical skills using leading tools like ChatGPT, NotebookLM, Claude preparing you to design or support scalable, intelligent care systems.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Evaluate AI tools for diagnostics, triage, and patient interaction in virtual healthcare settings.
- Design AI-powered workflows for remote monitoring, alerts, and personalized chronic care management.
- Implement generative AI solutions to automate documentation, patient education, and virtual assistant tasks.
- Assess ethical and operational risks of using AI in telemedicine, including bias, consent, and data security.
Prerequisites
To get the most out of this course, learners should have a basic understanding of healthcare or telemedicine workflows. Familiarity with digital tools used for communication or data handling will be helpful, though no advanced technical skills are required. Most importantly, learners should bring a strong interest in artificial intelligence and its applications within clinical or virtual care settings.
Who Should Attend
This course is designed for a broad range of professionals and students at the intersection of healthcare and technology. It is ideal for healthcare providers who are exploring or managing virtual care platforms, as well as digital health product managers and telemedicine coordinators aiming to enhance their service offerings with AI. Additionally, AI developers, technologists, and health informatics students preparing for careers in health tech will find valuable insights and practical applications throughout the course.
