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A framework for uniform access to data, software and knowledge.

E M van Mulligen1, T Timmers, F van den Heuvel

  • 1Department of Medical Informatics, Erasmus University, Rotterdam, The Netherlands.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1991
PubMed
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This study introduces an object-oriented framework for integrating diverse entities like data and functions on a single workstation. A prototype medical workstation demonstrates its utility in clinical data analysis.

Area of Science:

  • Computer Science
  • Medical Informatics

Background:

  • Integrating diverse computational entities (data, knowledge, functions, presentation, hardware) presents challenges.
  • Existing systems often lack a unified approach for managing these distinct entity types.

Purpose of the Study:

  • To present an object-oriented framework for seamless integration of multiple entity types.
  • To introduce the concept of 'accessors' for abstracting entity interactions.
  • To demonstrate the framework's application in a medical context.

Main Methods:

  • Developed an object-oriented framework supporting five entity types: data, knowledge, functions, presentation forms, and hardware.
  • Introduced 'accessors' to provide an abstract interface for interacting with each entity type.
  • Defined a dedicated programming language for framework interaction.

Related Experiment Videos

  • Implemented a prototype medical workstation using a restricted version of the framework.
  • Main Results:

    • The framework successfully integrates diverse entities at a single workstation.
    • The 'accessor' concept simplifies entity access and management.
    • A functional prototype medical workstation for clinical data analysis was developed.

    Conclusions:

    • The object-oriented framework provides a flexible and unified approach for integrating heterogeneous entities.
    • The framework facilitates the development of specialized applications, such as medical workstations.
    • This approach enhances clinical data analysis support through integrated systems.