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Integrating detailed clinical models into application development tools.

Stanley M Huff1, Roberto A Rocha, Joseph F Coyle

  • 1Department of Medical Informatics, University of Utah, Salt Lake City, UT, USA. stan.huff@ihc.com

Studies in Health Technology and Informatics
|September 14, 2004
PubMed
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Researchers developed sophisticated tools for searching, viewing, and integrating detailed clinical models within electronic medical record (EMR) systems. This enhances application development by accommodating explicit information model structures.

Area of Science:

  • Health Informatics
  • Medical Informatics
  • Clinical Modeling

Background:

  • Detailed clinical models refine abstract medical models like HL7 Reference Information Model.
  • Over 3,000 detailed clinical models have been developed at IHC over five years.
  • These models are integral to the architecture of the electronic medical record (EMR) system.

Purpose of the Study:

  • To report on the experience of creating browsers for detailed clinical models.
  • To integrate these browsers with application authoring tools.
  • To enhance the usability and incorporation of clinical models into medical applications.

Main Methods:

  • Development of a sophisticated set of tools for managing detailed clinical models.
  • Creation of browsers distinct from terminology browsers, accommodating explicit information model structures.

Related Experiment Videos

  • Integration of these browsers with application authoring tools.
  • Main Results:

    • Successful creation of tools enabling searching, viewing, and incorporation of over 3,000 detailed clinical models.
    • Development of specialized browsers that handle the explicit structure of information models.
    • Integration of browsers with application authoring tools, streamlining development.

    Conclusions:

    • The developed tools and browsers are essential for managing and utilizing detailed clinical models within EMR systems.
    • Integration with authoring tools facilitates the incorporation of clinical models into medical applications.
    • This work demonstrates a sophisticated approach to clinical information modeling and application development.