In this course, you’ll learn how to manage and govern digital health data by mastering core principles of health data management, interoperability, and regulatory compliance. You’ll focus on real-world applications like EHRs, HIE, HL7/FHIR standards, and clinical terminologies, while exploring frameworks such as HIPAA, GDPR, and global privacy laws. Through expert instruction, case studies, and hands-on labs, you’ll gain the skills to secure sensitive health information, implement governance models, and address ethical challenges like AI bias and equity—while building trust, improving patient outcomes, and driving innovation in digital healthcare.

In this module, you’ll learn the foundations of digital health data by exploring its definitions, sources, and lifecycle. You’ll examine how data is created, structured, and shared across healthcare systems-from electronic health records to patient-generated insights. Through real-world examples, lessons on data types, and practical exercises, you’ll gain the skills to understand how health data supports clinical decision-making, enhances population health, and drives innovation in care delivery.

In this module, you’ll learn the foundations of data governance by exploring its principles, frameworks, and organizational models that guide ethical and effective use of health data. You’ll examine how governance establishes ownership, stewardship, and accountability, and how policies and standards ensure data integrity, security, and compliance. Through expert explanations, case studies, and practical insights, you’ll gain the skills to understand governance models, implement strategies, and recognize the importance of strong data governance in driving trust, innovation, and accountability in healthcare.

In this module, you’ll learn the foundations of privacy, security, and regulatory compliance in digital healthcare. You’ll explore patient rights, data protection laws like HIPAA and GDPR, and the ethical principles that govern the use of health information. You’ll examine common security threats, risk management strategies, and the practical tools-such as audit trails, role-based access, and incident response-that organizations use to safeguard patient data. Through expert insights, case studies, and real-world applications, you’ll gain the skills to apply compliance frameworks, uphold data integrity, and foster a culture of accountability in healthcare environments.

In this module, you’ll learn how interoperability, data quality, and emerging digital health trends shape the future of healthcare systems. You’ll examine how standards like HL7, FHIR, and SNOMED CT enable seamless communication across platforms, ensuring trustworthy and actionable health data. Through expert explanations, case studies, and practical activities, you’ll gain the skills to recognize and address data quality challenges, apply governance principles to new technologies such as AI and real-world data, and anticipate ethical considerations in digital innovation. By the end, you’ll be equipped to support future-ready data governance and decision-making in healthcare.

In this concluding module, you’ll apply your knowledge by designing a data governance strategy for a mobile health app. You’ll integrate key concepts from the course-covering health data management, interoperability, privacy regulations, and ethical AI-to create a practical framework for secure, compliant, and responsible data use. By completing this project, you’ll gain confidence in safeguarding patient information while supporting innovation in digital health.