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Related Experiment Videos

Integration of a knowledge-based system and a clinical documentation system via a data dictionary.

H P Eich1, C Ohmann, E Keim

  • 1Department of General and Trauma Surgery, Heinrich-Heine-University, Düsseldorf, Germany. eich@uni-duesseldorf.de

Studies in Health Technology and Informatics
|December 8, 1996
PubMed
Summary

This study presents a knowledge-based system and clinical documentation system integrated via a data dictionary. The software, built with object-oriented methods in C++, aids in managing clinical information for acute abdominal pain.

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Area of Science:

  • Medical Informatics
  • Computer Science in Medicine
  • Clinical Decision Support

Background:

  • Clinical documentation and knowledge-based systems are crucial for patient care.
  • Integration of these systems can improve data consistency and decision-making.
  • A unified data dictionary is key to linking disparate clinical information.

Purpose of the Study:

  • To design and implement an integrated knowledge-based system (KBS) and clinical documentation system (CDS).
  • To develop a robust data dictionary for controlling terminology and document objects.
  • To apply the integrated system to the clinical domain of acute abdominal pain.

Main Methods:

  • Software developed using object-oriented methods and C++ for Windows.
  • A comprehensive data dictionary was created, linking terminology and document objects to external classifications.

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  • The system was implemented with a documentation module and a KBS featuring scores and rules.

    • Main Results:

    • A functional integrated system was realized, demonstrating effective data dictionary control.
    • The data dictionary comprised 580 terminology objects, 501 document objects, and 2136 links.
    • The application included 8 clinical documents and a KBS with 10 scores and 7 rule sets.

    Conclusions:

    • The developed software provides a framework for integrating KBS and CDS.
    • The data dictionary effectively standardizes terminology and document structure.
    • The system's application to acute abdominal pain demonstrates its clinical utility and potential for improving healthcare informatics.