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Related Experiment Videos

Implementing health care systems using XML standards.

Ralf Schweiger1, Matthias Brumhard, Simon Hoelzer

  • 1Institute for Medical Informatics, Justus-Liebig-University, Heinrich-Buff-Ring 44, 35392 Giessen, Germany. ralf.schweiger@informatik.med.uni-giessen.de

International Journal of Medical Informatics
|February 8, 2005
PubMed
Summary

Healthcare data is often inaccessible. This study demonstrates "plug-and-play XML" to streamline clinical application development, improving access to narrative health information.

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Area of Science:

  • Health Informatics
  • Computer Science
  • Information Systems

Background:

  • Most healthcare data exists as unstructured narrative text, limiting accessibility at clinical workstations.
  • Existing Extensible Markup Language (XML) standards offer potential infrastructure for improving data accessibility.
  • The complexity and cost of developing comprehensive XML applications in healthcare are often underestimated.

Purpose of the Study:

  • To explore the clinical application of XML standards in healthcare.
  • To demonstrate a "plug-and-play XML" approach for efficient development of new clinical applications.
  • To share experiences from implementing this approach using a clinical drug information system.

Main Methods:

  • Developing new applications by integrating existing XML standards and tools.

Related Experiment Videos

  • Implementing a "plug-and-play XML" methodology.
  • Utilizing a clinical drug information system as a case study.

    • Main Results:

    • Successful implementation of a clinical drug information system using the "plug-and-play XML" approach.
    • Demonstrated feasibility of developing clinical applications through the combination of XML standards.
    • Experience gained in managing the development process for XML-based healthcare applications.

    Conclusions:

    • The "plug-and-play XML" approach facilitates the development of clinical applications.
    • XML standards provide a viable infrastructure for enhancing healthcare data accessibility.
    • Further development and adoption of such methodologies can improve clinical information systems.