Ethical Consideration in Digital Health

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

This module addresses the ethical, legal, and privacy challenges associated with digital health technologies. Learners will evaluate regulatory compliance, patient data protection, and ethical decision-making in the adoption of digital tools in healthcare.

Syllabus

Ethics and Governance in Digital Health

This chapter introduces the ethical dimensions of digital health, highlighting their importance in shaping healthcare delivery, diagnosis, treatment, and monitoring. It examines core ethical concepts such as patient autonomy, privacy, beneficence, transparency, and equity, all of which are fundamental to building trust and ensuring patient safety. The benefits of ethical principles such as inclusivity, resilience, innovation, and equitable access are considered alongside challenges in managing digital data, including privacy, security, governance of data sharing, and patient empowerment in data ownership.

Ethical frameworks for digital health

This chapter explores how technology influences healthcare outcomes, both improving and disrupting traditional models of care. It analyses the role of bioethics frameworks in guiding digital health innovations and examines global regulatory structures that aim to ensure consistency and accountability across contexts. Ethical strategies for responsible technology development are discussed, with emphasis on multi-stakeholder collaboration and engagement. The chapter concludes by addressing the need for adaptable ethical frameworks that can evolve alongside emerging technologies, ensuring digital health continues to positively impact society.

AI in healthcare and Health Equity

This chapter examines the ethical challenges associated with artificial intelligence in healthcare, focusing on issues of patient privacy, data security, and algorithmic bias. It reviews existing regulations and guidelines that govern AI’s use in clinical and administrative settings, with attention to the role of regulatory bodies in maintaining ethical standards. The chapter also highlights the development of practical ethical guidelines for AI adoption, integrating perspectives from various stakeholders to ensure equity and responsibility in implementation.