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Related Experiment Videos

Supporting infobuttons with terminological knowledge

J J Cimino1, G Elhanan, Q Zeng

  • 1Department of Medical Informatics, Columbia University, New York, New York, USA.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1997
PubMed
Summary
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We created infobuttons, which use patient data to query online resources with minimal typing. The Medical Entities Dictionary (MED) helps select queries and translate data for better clinical system integration.

Area of Science:

  • Medical Informatics
  • Clinical Decision Support
  • Health Information Systems

Background:

  • Integrating clinical systems with online information resources is challenging.
  • Manual data retrieval and query formulation are time-consuming for clinicians.
  • Existing systems often lack efficient mechanisms for accessing relevant patient data.

Purpose of the Study:

  • To develop and describe prototype applications called infobuttons.
  • To demonstrate how patient data can drive queries for online information resources.
  • To showcase the use of the Medical Entities Dictionary (MED) for system integration.

Main Methods:

  • Developed prototype applications integrating clinical systems with online resources.
  • Utilized patient data to automatically generate queries.

Related Experiment Videos

  • Employed the Medical Entities Dictionary (MED) for knowledge representation and data translation.
  • Leveraged literal attributes, hierarchical links, and semantic links within the MED.
  • Main Results:

    • Successfully created functional infobutton prototypes.
    • Demonstrated efficient query generation with minimal user input.
    • Showcased the MED's capability in facilitating query selection and data translation.
    • Enabled seamless integration between clinical systems and information resources.

    Conclusions:

    • Infobuttons offer a promising approach to enhance clinical information access.
    • The Medical Entities Dictionary (MED) is crucial for effective infobutton implementation.
    • This technology can improve clinical decision-making by providing timely, relevant information.