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Related Experiment Videos

Knowledge representation for platform-independent structured reporting

C E Kahn1, P N Huynh

  • 1Department of Radiology, Medical College of Wisconsin, Milwaukee, USA.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1996
PubMed
Summary
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A new language, Data-entry and Report Markup Language (DRML), enables platform-independent structured reporting. This system, SPIDER, uses the web for data entry, generating reports and datasets for analysis.

Area of Science:

  • Computer Science
  • Medical Informatics

Background:

  • Structured reporting systems enhance healthcare data recording.
  • Existing systems often lack platform independence and flexibility.

Purpose of the Study:

  • To introduce a generalized, platform-independent structured reporting language (DRML).
  • To present SPIDER, a reporting system utilizing DRML and the World Wide Web for data entry and report generation.

Main Methods:

  • Developed Data-entry and Report Markup Language (DRML) based on Standard Generalized Markup Language (SGML).
  • Created SPIDER, a reporting system using DRML as its knowledge base.
  • Leveraged the World Wide Web as the data-entry medium for SPIDER.

Main Results:

Related Experiment Videos

  • SPIDER generates platform-independent documents with standard data-entry objects.
  • The system creates outline-format textual reports from entered data.
  • Generated datasets facilitate the analysis of aggregate results.

    • Conclusions:

    • DRML provides a flexible, generalized language for structured reporting.
    • SPIDER enables efficient data collection and report generation via the web.
    • DRML empowers knowledge engineers to design diverse clinical reports and survey instruments.