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.
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.
Das ist alles enthalten
1 Video1 LektĂĽre
Infos zu Modulinhalt anzeigen
1 Video•Insgesamt 3 Minuten
Welcome and Course Goals •3 Minuten
1 Lektüre•Insgesamt 5 Minuten
Welcome to the Course: Course Overview•5 Minuten
Foundations of Digital Health Data
Modul 2•2 Stunden abzuschließen
Moduldetails
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.
Sources and Types: From EHRs to Wearables •6 Minuten
The Role of Digital Health Data in Modern Care Delivery •6 Minuten
Structured vs. Unstructured Data in Healthcare •7 Minuten
The Health Data Lifecycle: Collection to Archiving •7 Minuten
Clinical, Administrative, and Patient-Generated Data •7 Minuten
1 Lektüre•Insgesamt 5 Minuten
The Use of Real-World Data in Regulatory Decision-Making •5 Minuten
1 Aufgabe•Insgesamt 20 Minuten
Foundations of Digital Health Data •20 Minuten
1 peer review•Insgesamt 10 Minuten
Hands-On-Learning: Analysing EHR Data: Identifying Key Data Types for Clinical Decision Support •10 Minuten
2 Diskussionsthemen•Insgesamt 20 Minuten
Risks of Digital Reliance •10 Minuten
Enhancing Patient Outcomes •10 Minuten
Data Governance Principles and Frameworks
Modul 3•2 Stunden abzuschließen
Moduldetails
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.
Accountability, Stewardship, and Ownership in Healthcare Data •7 Minuten
Establishing Governance Policies and Standards •7 Minuten
Centralized vs. Federated Governance Models •7 Minuten
Data Governance Committees: Roles and Responsibilities •7 Minuten
Building Governance into Digital Health Innovation •7 Minuten
Steps to Building a Governance Framework •6 Minuten
Integrating Governance into Clinical and IT Workflows •5 Minuten
Measuring the Maturity of Governance Programs •7 Minuten
1 Lektüre•Insgesamt 5 Minuten
Electronic Health Record Data Governance and Data Quality in the Real World •5 Minuten
1 Aufgabe•Insgesamt 20 Minuten
Data Governance Principles and Frameworks•20 Minuten
1 peer review•Insgesamt 10 Minuten
Hands-On-Learning: Simple Data Governance Plan for Patient Referral Data •10 Minuten
2 Diskussionsthemen•Insgesamt 20 Minuten
Data Quality Ownership •10 Minuten
Governance Equity Challenges •10 Minuten
Privacy, Security, and Regulatory Compliance
Modul 4•2 Stunden abzuschließen
Moduldetails
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.
Incident Response and Breach Notification •7 Minuten
Audit Trails, Logging, and Documentation Requirements •6 Minuten
Training, Policies, and Enforcement Strategies •6 Minuten
Creating a Culture of Privacy and Security•7 Minuten
1 Lektüre•Insgesamt 10 Minuten
HIPAA Security Rule Summary•10 Minuten
1 Aufgabe•Insgesamt 30 Minuten
Privacy, Security, and Regulatory Compliance•30 Minuten
1 peer review•Insgesamt 10 Minuten
Hands-On-Learning: Key Takeaways from a HIPAA Training Video with Personal Examples •10 Minuten
2 Diskussionsthemen•Insgesamt 20 Minuten
Learning from Privacy Breaches (5 minutes)•10 Minuten
Privacy & Security Responsibility•10 Minuten
Interoperability, Quality & Future Trends
Modul 5•2 Stunden abzuschließen
Moduldetails
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.
Hands-On-Learning: Mapping Patient Data Flow: From Hospital to Specialist Clinic •10 Minuten
2 Diskussionsthemen•Insgesamt 20 Minuten
AI Safeguards Question "If a hospital wants to implement AI assistance for clinical diagnosis•10 Minuten
Digital Equity Question•10 Minuten
Course Conclusion
Modul 6•1 Stunde abzuschließen
Moduldetails
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.
Das ist alles enthalten
1 Video1 peer review
Infos zu Modulinhalt anzeigen
1 Video•Insgesamt 3 Minuten
Course Wrap-up Video •3 Minuten
1 peer review•Insgesamt 60 Minuten
Designing a Data Governance Strategy for a New Health App •60 Minuten
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