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12.4 Ethics in Health Informatics

Learning Objectives

Ethical Frameworks for Healthcare AI

Ethical Governance and Regulation of Artificial Intelligence in Health Care

CAREERS IN IS: Clinical Informatics Nurse Specialists

Protecting Sensitive Health Information Privacy

Data Ownership and Control of Health Data

Privacy and Confidentiality of Sensitive Health Information

GLOBAL CONNECTIONS: Global Digital Health Networks

Quizzes

Quiz: Ethical Governance and Regulation of Artificial Intelligence in Health Care

Quiz: CAREERS IN IS: Clinical Informatics Nurse Specialists

Quiz: Data Ownership and Control of Health Data

Quiz: Privacy and Confidentiality of Sensitive Health Information

Quiz: GLOBAL CONNECTIONS: Global Digital Health Networks

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Course Feedback Survey

Learner Feedback

Ethical AI and Data Governance in Health Informatics is a practical, future-ready course designed for clinicians, health IT professionals, and data leaders who are deploying or overseeing AI and analytics in care settings. You’ll learn how to evaluate algorithmic fairness, build privacy-by-design workflows, and implement responsible data governance aligned with global health regulations. Through real-world cases, you will examine how bias, explainability, consent, and data ownership impact clinical decision support, population health, and digital front-door experiences. The course blends ethical frameworks with hands-on governance tools—model risk management, data stewardship roles, audit trails, and incident response—so you can move from principles to practice. You will explore regulatory landscapes (HIPAA, GDPR, AI Act trends), clinical safety considerations for AI, and strategies to protect sensitive health information, including genomic and behavioral data. By the end, you’ll be equipped to lead multidisciplinary governance, design equitable AI workflows, and communicate risks and safeguards to executives, clinicians, and patients. Whether you’re standing up an AI oversight committee or refining EHR-integrated decision support, this course gives you a clear roadmap to deploy trustworthy, compliant, and human-centered AI in healthcare.

CH 12.4: Ethical AI and Data Governance in Health Informatics

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            <p>The integration of artificial intelligence into health informatics has revolutionized patient care, diagnostics, and administrative efficiency. However, this technological leap brings forth complex ethical challenges that require robust governance and regulatory frameworks. This course explores the critical intersection of ethics and technology, examining how healthcare organizations can leverage AI while maintaining the highest standards of integrity. By analyzing the principles of ethical governance, participants will understand the balance between innovation and the protection of human rights in an increasingly digital health landscape.</p>

<p>Throughout this curriculum, we will delve into the intricacies of data ownership, control, and the confidentiality of sensitive health information. The course highlights the vital role of Clinical Informatics Nurse Specialists and other professionals who navigate these ethical waters daily to ensure patient safety and data security. Furthermore, it examines global digital health networks to provide a comprehensive view of how data governance operates on an international scale. By the end of this study, learners will be equipped with the knowledge to address privacy concerns and implement ethical AI strategies that safeguard patient trust and promote equitable healthcare outcomes.</p>
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