Digital Health Data & Governance Essentials

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

8 hours 50 minutes
Sessions

On-Demand
Subtitles

English

Found in

Overview

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This comprehensive course provides an in-depth exploration of the rapidly evolving field of digital health data systems, equipping learners with the knowledge and skills required to navigate the complex digital landscape of modern healthcare. The course begins by establishing a strong foundation in the fundamentals of digital health data—covering key concepts such as electronic health records (EHRs), health information exchange (HIE), data architectures, and clinical terminologies. Learners will gain a practical understanding of how health data is generated, structured, and utilized across various care settings. This course is designed for healthcare professionals (nurses, physicians, and allied health), IT and data managers entering healthcare, public health officials focused on ethical data principles, digital health entrepreneurs, compliance officers, legal teams, clinical researchers, data analysts, and medical device or pharmaceutical professionals handling regulated health data and connected devices. It provides essential knowledge for using digital data effectively in clinical settings and navigating the complexities of privacy, security, and interoperability. This course is designed for a diverse group of individuals, including healthcare professionals (nurses, physicians, allied health professionals) eager to gain insights into digital health data, as well as IT and data managers transitioning into healthcare or supporting digital health systems. It is also suitable for public health officials applying ethical data principles in population health management, digital health entrepreneurs developing apps or platforms within regulated healthcare environments, and compliance officers or legal teams ensuring privacy, security, and interoperability. Clinical researchers, data analysts working with patient data, and professionals from the medical device and pharmaceutical sectors managing regulated health data will also find this course valuable. The course requires basic computer literacy. Familiarity with healthcare environments or systems, such as EHRs, hospital workflows, or medical terminology, is beneficial but not mandatory. A curiosity about digital transformation in healthcare is encouraged, and no prior coding or engineering experience is needed. By the end of this course, learners will be able to identify and manage the key sources of digital health data that directly impact clinical decision-making, care delivery, and patient outcomes. They will gain the ability to apply interoperability frameworks and data standards to facilitate seamless and secure information exchange across healthcare systems. Learners will also understand how to ensure compliance with major privacy and security regulations such as HIPAA, GDPR, and HITECH, while implementing effective governance and ethical practices. Ultimately, the course equips participants to foster trust, equity, transparency, and responsible innovation in the rapidly evolving digital health landscape.

Syllabus

Course Introduction

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.

Foundations of Digital Health Data

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.

Data Governance Principles and Frameworks

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.

Privacy, Security, and Regulatory Compliance

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.

Interoperability, Quality & Future Trends

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.

Course Conclusion

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.