Digital Health Ethics and Patient Privacy

As healthcare increasingly relies on digital platforms, telemedicine, and artificial intelligence, protecting patient privacy and ensuring ethical practices has never been more critical. This course helps you understand the complex intersection of technology, law, and medical ethics. You will develop a solid foundation in the core principles of digital health ethics, learning how to identify and address privacy risks, algorithmic bias, and compliance requirements in modern healthcare settings. What you'll learn: Understand foundational ethical principles applied to digital health technologies; Analyze modern privacy laws and regulations, including GDPR and HIPAA frameworks; Identify and mitigate algorithmic bias in healthcare AI and machine learning models; Evaluate patient consent models for digital data collection and sharing; Address security challenges in the Internet of Medical Things (IoMT) and wearable devices; Promote digital equity and accessibility in healthcare application design. The course begins with essential terminology and the historical context of medical ethics before guiding you through real-world scenarios, legal compliance, and emerging technologies. You will progress through structured text lessons and written reflective exercises designed to build practical decision-making skills. This program is designed for healthcare professionals, administrators, technology developers, and beginners interested in the intersection of medicine and technology, with no prior legal or medical background required. Start reading today to build a safer, more ethical future for digital healthcare.