Describe common health and telehealth AI applications

Health & Telehealth
Explore patient care, health data, digital practice, telehealth, privacy, and bias.
Know why you are learning.
Practice with purpose.
Leave with a next step.
Courses are arranged as a recommended sequence, not a requirement. Start with the foundation if the topic is new, or choose the course that closes a specific gap. Progress here is a planning aid; provider completion and credential rules are separate.
Health innovators and learners exploring digital health—not clinical decision support
Build foundational knowledge about health AI, telehealth, data, privacy, bias, and patient safety before pursuing specialized professional training.
Recognize why health information and unequal outcomes need special care
Know when qualified clinical, privacy, or legal review is required

AI in Digital Health
See how AI supports telehealth, patient engagement, and care coordination.

AI in Healthcare
Examine machine learning in medicine alongside patient safety, quality, research, and ethical challenges.
Polimi Open KnowledgeIntroduction to Digital Health & Digital Practice
Understand how digital tools enhance rehabilitation and therapy delivery.
Show what you can now explain, evaluate, or make.
Use this pathway to complete one small piece of evidence: describe common health and telehealth ai applications; recognize why health information and unequal outcomes need special care; know when qualified clinical, privacy, or legal review is required. Document what you tried, what you checked, what changed, and the next question you still need to answer.