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Related Experiment Videos

World-Wide Web-based graphical user interfaces for laboratory data.

D Keller1, W J Schaller, J S K Wong

  • 1Department of Computer, Iowa State University, Ames, Iowa, USA.

Methods of Information in Medicine
|December 28, 2002
PubMed
Summary

A new graphical user interface provides immediate access to laboratory data, enabling healthcare providers to easily view patient trends and analyze results. This web-based system enhances patient care by improving data accessibility and interpretation.

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Area of Science:

  • Medical Informatics
  • Health Information Technology
  • Data Visualization

Background:

  • Electronic medical record systems often present data in fixed formats, hindering efficient information retrieval.
  • Healthcare providers need streamlined access to patient data for effective clinical decision-making.
  • Navigating extensive laboratory data in traditional formats can be time-consuming.

Purpose of the Study:

  • To develop a highly customizable, graphical user interface (GUI) for the Mayo Clinic laboratory information system.
  • To provide healthcare providers with immediate access to specific laboratory information.
  • To enhance the usability and interpretability of laboratory data for patient-provider interactions.

Main Methods:

  • Development of a platform-independent, World-Wide-Web-based graphical user interface.

Related Experiment Videos

  • Integration with the Mayo Clinic laboratory information system.
  • Utilization of Java technology for graphical display and Perl for data processing.

    • Main Results:

    • The GUI allows visualization of all or selected laboratory data in graphical format.
    • Features include internet-based workstation availability, trend recognition, zoom capabilities, and detailed analysis against normal values.
    • The system offers immediate recognition of laboratory data trends over time.

    Conclusions:

    • A web browser-based GUI using Java technology facilitates graphical display of laboratory data.
    • The system integrates with the Mayo Clinic laboratory information system, offering cross-platform compatibility.
    • The combination of Perl and Java ensures powerful data processing and interactivity for enhanced usability.