Health Data Management Systems: Integrating the Full Life Cycle

Health Data Management: Integrating the Full Life Cycle for Future Systems

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Integrating the Full Life Cycle for Future Systems

Health Data Management

Our course equips healthcare leaders with the knowledge to design and implement secure, interoperable, and GDPR-compliant data models. Covering collection, storage, curation, and exploitation, the programme bridges regulatory frameworks with practical tools, preparing professionals to lead Europe’s digital health transformation.

Applications to this programme are ongoing. Don’t miss this opportunity and enrol now!

What you get

What you'll learn

Learning Outcomes

  • ✅ Map and evaluate the health data lifecycle to define ownership, accountability, and performance indicators aligned with strategic goals
  • ✅ Assess and select optimal data management models for complex, high-volume clinical data ecosystems
  • ✅ Establish data quality frameworks and governance principles to ensure accuracy, transparency, and trustworthiness
  • ✅ Promote interoperability and standardisation by adopting suitable frameworks such as HL7 and FHIR
  • ✅ Align governance, ethical, and compliance strategies with evolving regulatory frameworks (GDPR, EHDS)
  • ✅ Evaluate open-source and proprietary technology options to guide sustainable, cost-effective infrastructure decisions
  • ✅ Develop strategies that balance scalability, resilience, and value creation for digital health initiatives
  • ✅ Design strategic implementation roadmaps integrating risk management, change leadership, and impact measurement

Curriculum

Introduction, Terminologies, and Regulatory Landscape
 Data Management Lifecycle
Data Generation, Collection and Storage
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Eligibility Requirements

Designed for decision-makers and strategic leaders in MedTech, Pharma, and public health, including technology leaders and policymakers driving digital health and data innovation across Europe.

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