Digital Health Data & Governance Essentials
In this course, you’ll explore the rapidly evolving field of digital health data systems, gaining a deep understanding of key concepts like electronic health records (EHRs), health information exchange (HIE), and data architectures.
Overview
This course includes:
- On-demand videos
- Practice assessments
- Multiple hands-on learning activities
- Exposure to a real-world project
- 100% self-paced learning opportunities
- Certification of completion
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.
A major focus of the course is on data standards and interoperability, emphasizing the importance of frameworks such as HL7, FHIR, SNOMED CT, and LOINC to ensure seamless communication and integration across healthcare systems. Participants will explore how standardized data formats and exchange protocols support coordinated care, patient safety, and efficient workflows.
The course also addresses critical areas of privacy, security, and governance, with a strong emphasis on compliance with regulations such as HIPAA, GDPR, and local health data protection laws. Learners will explore best practices for securing sensitive health data, managing user access, and building trustworthy systems that prioritize patient rights and ethical responsibility.
Ethical considerations and data stewardship are woven throughout the curriculum, helping learners understand how to use digital health data responsibly, reduce bias in AI/ML applications, and support equity and transparency in healthcare technology. Through real-world case studies, group projects, and interactive assignments, learners will analyze current challenges and trends—such as telehealth, wearable technologies, big data analytics, and artificial intelligence in healthcare.
Designed for a diverse audience including healthcare professionals, IT staff, clinical informaticians, and data stewards, the course offers practical insights and tools to support digital transformation initiatives in healthcare organizations. By the end of the course, learners will be equipped to manage, analyze, protect, and ethically govern digital health data in a way that enhances patient care, improves system efficiency, and prepares them for future advancements in health technology.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Identify and manage key sources of digital health data to improve clinical decision-making, care delivery, and health outcomes.
- Apply data standards and interoperability frameworks to enable seamless and secure information exchange across systems.
- Ensure data privacy, security, and compliance with regulations like HIPAA, GDPR, and HITECH in digital health environments.
- Implement effective data governance and ethical practices that supports trust, equity, transparency, and responsible innovation
Prerequisites
This course requires no advanced technical background. Learners should have basic computer literacy and, ideally, some familiarity with healthcare environments such as EHRs or hospital workflows, though this is not mandatory. Curiosity about digital transformation in healthcare and a willingness to engage with both technical and ethical concepts will ensure success. Designed for beginner to intermediate learners, the course includes step-by-step guidance, practical examples, and hands-on practice with the no-code KNIME Analytics Platform.
Who Should Attend
This course is designed for healthcare professionals, IT and data managers, and public health officials who want to strengthen their knowledge of digital health systems. It is also suited for compliance officers, legal teams, clinical researchers, and data analysts seeking practical governance and regulatory insights. Digital health entrepreneurs, as well as medical device and pharmaceutical professionals, will benefit from learning best practices for managing sensitive and regulated health data.
