Telehealth: Dermatology Assessment

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Telehealth: Dermatology Assessment

Coursera · Beginner ·🔍 RAG & Vector Search ·1mo ago
Dermatological assessments require precise focus, lighting, and clear demarcation of affected areas, but how can you achieve these results via telehealth? What tools are available to remote patients for taking high quality images, and how can you as a healthcare provider leverage everyday items to improve patient care outcomes? From photography basics to using specialized clinical photography equipment, we cover the essentials for providing high quality remote care to patients with dermatological concerns. This course walks you through the process of obtaining clinically useful imagery after the reporting of a dermatological complaint. We’ll model advice you can give to patients or caregivers, tips for working with everyday technology to take clinically useful images, and common pitfalls in teledermatology. To bring it all together, we’ll also provide advice on how to leverage more specialized devices, like portable dermatoscopes, to provide high-resolution images that can more accurately identify skin conditions and patient status. This course doesn’t assume any previous experience with telehealth or specific technologies but will rely on your previous experience with physical assessments. Whether you are extremely adept at performing telehealth visits or a novice, this course contains practices and expert guidance to positively benefit your practice.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Smart Routing, Transfer Family Ingestion, and Voice Chat — Permission-Aware RAG v4.2
Learn about the latest features in Permission-Aware RAG v4.2, including Smart Routing, Transfer Family Ingestion, and Voice Chat, and how to apply them in your projects
Dev.to · Yoshiki Fujiwara(藤原 善基)@AWS Community Builder
Most Companies Doing GenAI Are Really Just Doing RAG: RAGOps Explained for analysts
Learn why RAGOps is becoming the preferred approach for GenAI projects and how it differs from agent-based approaches
Medium · RAG
RAG - Sliding Window, Token Based Chunking and PDF Chunking Packages
Learn about RAG chunking mechanisms, including Sliding Window, Token Based, and PDF Chunking, to improve your AI model's text processing capabilities
Dev.to AI
Ever Wondered How to Make Your RAG More Effective?
Improve your RAG effectiveness by connecting instead of searching
Medium · RAG
Up next
Watch this before applying for jobs as a developer.
Tech With Tim
Watch →