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A knowledge-based, concept-oriented view generation system for clinical data.

Q Zeng1, J J Cimino

  • 1Decision Systems Group, Harvard Medical School, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA. Qzeng@dsg.harvard.edu

Journal of Biomedical Informatics
|August 23, 2001
PubMed
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Clinicians face information overload. This study introduces a knowledge-based system for concept-oriented views, organizing patient data by clinical concepts to improve data accessibility and reduce overload.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Clinical Data Management

Background:

  • Clinicians experience significant information overload due to large volumes of patient data.
  • Current methods for organizing patient records are often insufficient to manage complex clinical information.
  • Concept-oriented views, organizing data by clinical concepts, are desirable but challenging to implement.

Purpose of the Study:

  • To present a general-purpose, knowledge-based approach for generating concept-oriented views.
  • To describe the design and implementation of a system that automates the creation of these views.
  • To address the challenge of creating and maintaining concept-oriented views for clinical data.

Main Methods:

  • Developed a knowledge-based system utilizing a semantic network and rules.

Related Experiment Videos

  • Implemented automated identification of relevant patient data for view generation.
  • Employed rule-based traversal of the semantic network for key data identification.

    • Main Results:

    • Successfully designed and implemented a system for generating concept-oriented views.
    • The system automates the identification of relevant clinical data.
    • The approach is general-purpose and knowledge-based.

    Conclusions:

    • A novel knowledge-based system can automate the generation of concept-oriented views.
    • This approach offers a potential solution to clinical information overload.
    • Further evaluation of the system's performance is reported separately.