Define and recall the meaning, scope, and significance of data integration in healthcare. Explain the concept of interoperability and its critical role in care coordination and system connectivity. Identify and describe major data standards and protocols (HL7, FHIR, CDA) applied in healthcare data exchange. Understanding Apply ETL, API, and data mapping techniques to integrate healthcare data across systems. Analyze the challenges and barriers of integrating data from diverse healthcare sources, including quality and compliance issues. Discuss how Health Information Exchange (HIE) enhances patient care, safety, and efficiency. Design or propose a technical model demonstrating data integration tools, workflows, and interoperability standards.

Learners should have: A foundational understanding of healthcare data management or informatics. Basic knowledge of data systems, EHRs, and data governance. Familiarity with healthcare regulations (e.g., HIPAA, GDPR) is beneficial but not required.

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This unit is ideal for: Healthcare IT professionals managing or implementing data exchange systems. Health informatics specialists working in EHR or interoperability projects. Software developers and data engineers building healthcare integration tools. Healthcare administrators and policymakers focused on digital transformation. Students and researchers pursuing careers in health data science and information management.