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Modeling digital health systems to foster interoperability.

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Summary
This summary is machine-generated.

This paper promotes using information models to ensure data exchange and knowledge sharing for advanced interoperability. It emphasizes verifying that models and artifacts accurately reflect business system objectives and context.

Keywords:
communication standarddata exchangedata setinformation modelinteroperability

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Area of Science:

  • Information Systems Engineering
  • Computer Science
  • Software Architecture

Background:

  • Modern information systems are complex and rarely used in isolation.
  • Increasing demands for communication and cooperation among diverse system actors complicate development.
  • Systems must meet multiple, often conflicting, requirements from various authorities.

Approach:

  • Proposes the deployment of information models as a foundational element for deriving data exchange specifications.
  • Highlights the critical need to validate that information models and artifacts accurately represent business system objectives and context.
  • Advocates for a holistic approach beyond data and information viewpoints to achieve true interoperability.

Key Points:

  • Information models serve as a common basis for defining data exchange specifications.
  • Verification of information models against business system context is crucial for accurate implementation.
  • Advanced interoperability requires careful consideration of multiple, potentially contradictory, requirements.

Conclusions:

  • Deploying information models is key to achieving advanced interoperability.
  • Accurate representation of business concepts in models and artifacts is essential.
  • Interoperability requires a comprehensive approach beyond just data viewpoints.