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  1. Courses
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  3. AI-Powered Telemedicine & Virtual Patient Care

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.

Renāte Zara
Renāte Zara
Business | core | 4 hours |   Published: Sep 2025

    Discussions

Overview

1KSTUDENTS*
97.8%RECOMMEND*

This course includes:

4 Hours of on-demand video  
Certificate of completion  
Direct access/chat with the instructor 
100% self-paced online

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Unlike outdated “video call only” telehealth models, this course focuses on real-world use of AI assistants, predictive dashboards, and patient-specific insights.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

AI in telemedicine
Virtual Patient Care
AI in Healthcare
Medical chatbots
Generative AI in medicine

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.

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Introduction to AI in Virtual Care
2Module 2: AI-Powered Triage and Digital Interaction
3Module 3: From Triage to Diagnosis: Real-World AI Use
4Module 4: The Foundations of AI-Enabled Monitoring
5Module 5: Visualizing Health in Real Time
6Module 6: Engaging Patients Through AI Nudges
7Module 7: Rethinking the Workflow with AI
8Module 8: Generative AI for Documentation and Records
9Module 9: Building AI-Powered Conversations
10Module 10: From One-Size-Fits-All to Precision Care
11Module 11: Empowering Patients with AI Education Tools
12Module 12: Ethics, Risk & Reflecting on the Future

Segment 09: Case Studies in Virtual Diagnostics: Success & Impact

Segment 10: AI-Driven Diagnosis: Speed Meets Accuracy

Segment 11: Reading Between the Pixels: AI in Medical Imaging

Segment 12: Hands-On-Learning: Build a Custom GPT for Triage Simulation

Segment 13: How Remote Patient Monitoring and AI Personalize Care

Segment 14: From Triage to Diagnosis: Real-World AI Use

Welcome to the Course: Course Overview

Segment 01: Welcome and Course Goals

Segment 02: Module Introduction

Segment 03: Why AI is Reshaping Virtual Care

Segment 04: Anatomy of a Virtual Visit with AI Support

Segment 05: What Makes an AI Tool Reliable in Medicine

Segment 06: How Chatbots and LLMs Triage Patients

Segment 07: Demo: Exploring ChatGPT for Symptom Checks

Segment 08: Limitations of AI in Early Patient Interaction

Segment 35: Automated Conversations: Chatbots in Primary Care

Segment 36: The Empathy Layer: Humanizing the Bot

Segment 37: Bot Failures and What We Can Learn

Segment 38: Ethical Issues of Artificial Intelligence in Medicine and Healthcare

Segment 39: Hands-On-Learning: Compare 2 AI Chatbot Platforms for Virtual Care

Segment 40: Building AI-Powered Conversations

Segment 19: Demo: Build a Custom Health Dashboard with Lovable/V0

Segment 20: Comparing RPM Platforms: What Features Matter

Segment 21: Privacy & Data Security in RPM Systems

Segment 15: Module Introduction

Segment 16: Remote Patient Monitoring: The AI Doctor Who Never Sleeps

Segment 17: From Glucose to Heartbeats: What Wearables Really See

Segment 18: AI Alerts and Early Intervention Models

Segment 28: Module Introduction

Segment 29: What Can AI Really Do for Your Workflow

Segment 30: Automating Intake, Scheduling & FAQs

Segment 31: Risks & Trade-Offs of Automation in Healthcare

Segment 22: How AI Transforms Patient Engagement & Self-Management

Segment 23: Gamification and Nudges in Chronic Care

Segment 24: Predictive Models for Hospital Readmission

Segment 25: Precision Medicine, AI, and the Future of Personalized Health Care

Segment 26: Hands-On-Learning: Create a Custom RPM Alert Dashboard with Lovable or V0

Segment 27: Engaging Patients Through AI Nudges

Segment 41: Module Introduction

Segment 42: From One-Size-Fits-All to AI-Tailored Treatment

Segment 43: Predictive Models & Digital Twins in Telemedicine

Segment 44: Scaling Personalization in Large Systems

Segment 48: Ethical AI: Bias, Consent & Oversight in Virtual Medicine

Segment 49: What Kind of Future Are We Building

Segment 50: Global Perspectives on Responsible AI in Health

Segment 51: How Emerging Trends in AI Are Shaping the Future of Health Care Quality and Safety

Segment 52: Hands-On-Learning: Audit a Hypothetical AI Tool for Bias & Ethics

Segment 53: Ethics, Risk & Reflecting on the Future

Segment 54: Course Wrap Up Video

Segment 55: Project: Design Your AI-Powered Virtual Care Plan

Segment 45: Demo: Creating a Patient Education Notebook with NotebookLM

Segment 46: Custom GPTs for Health Info & Behavior Support

Segment 47: From Data to Empowerment: What Patients Need

Segment 32: Demo: Generative AI for Clinical Documentation

Segment 33: Voice Assistants and Dictation Models

Segment 34: Ensuring Accuracy in AI-Generated Content

Renāte Zara

Renāte Zara

Creative soul with medical degree making everyday life of Latvian healthcare professionals better by managing projects in the leading Latvian medical journal.

Renāte Zara is an Advertising Project Manager at Medical Journal Doctus in Riga, Latvia, where she oversees the planning, organization, and execution of advertising projects, ensuring seamless collaboration, budget management, and impactful marketing results. Previously, she worked as a Medical Lecturer at Izglītības pasākumi, delivering approximately 200 educational lectures on healthcare topics for teenagers and organizing educational tours to connect students with leading medical institutions. She also founded and managed Winterberry Store, a handmade crochet goods brand, handling social media, sales, and production. Renāte holds a Doctor of Medicine (MD) degree from Rīga Stradiņš University (2014–2020). With strong expertise in brand management, project management, and client relations, she is fluent in Latvian and Russian, proficient in English, and has basic knowledge of German.

 

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