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.


您将学到什么
Understand core ethical principles in digital health, including autonomy, privacy, equity, transparency, and patient safety.
Explore bioethics frameworks, global regulations, and strategies for responsible, inclusive digital health innovation.
Analyse ethical challenges of AI in healthcare, focusing on privacy, bias, security, and practical guidelines for adoption.
您将获得的技能
- Ethical Standards And Conduct
- Health Equity
- Information Privacy
- Medical Privacy
- Health Care Procedure and Regulation
- Regulation and Legal Compliance
- Responsible AI
- Health Care
- Telehealth
- Data Governance
- Informed Consent
- Health Technology
- Clinical Research Ethics
- Data Ethics
- Healthcare Ethics
- Healthcare Industry Knowledge
- Data Security
要了解的详细信息

添加到您的领英档案
October 2025
6 项作业
了解顶级公司的员工如何掌握热门技能

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- 获得可共享的职业证书

该课程共有3个模块
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.
涵盖的内容
5个视频1篇阅读材料2个作业
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.
涵盖的内容
4个视频1篇阅读材料2个作业
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.
涵盖的内容
4个视频1篇阅读材料2个作业
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常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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