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Related Experiment Videos

Integrating DXplain into a clinical information system using the World Wide Web

G Elhanan1, S A Socratous, J J Cimino

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

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1996
PubMed
Summary

This study explores integrating clinical information systems with decision support using the World Wide Web (WWW). It highlights the potential of web-based applications for healthcare integration while noting current technological limitations.

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Area of Science:

  • Medical Informatics
  • Computer Science

Background:

  • The World Wide Web (WWW) provides a cross-platform environment for integrating diverse internet applications.
  • Clinical information systems and decision-support tools often operate in silos, limiting data sharing and collaborative diagnostics.

Purpose of the Study:

  • To demonstrate the integration of a Web-based Clinical Information System with the DXplain decision-support system using WWW technology.
  • To explore the potential of web-based applications for facilitating interaction and integration within healthcare.

Main Methods:

  • Utilized local architecture and Common Gateway Interface (CGI) programs for system integration.
  • Developed an application to translate patient laboratory test results into DXplain's terminology for diagnostic hypothesis generation.

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  • Employed Hypertext Transfer Protocol (HTTP) and TCP/IP function calls for data access.

    • Main Results:

    • Successfully demonstrated the interaction between a clinical information system and a decision-support tool via the WWW.
    • Showcased how local architecture with a controlled vocabulary server can enhance system integration.
    • Identified limitations of current WWW technology, including resource control and liability issues.

    Conclusions:

    • Web-based applications hold significant potential for interaction and integration in clinical settings.
    • Further integration is hindered by challenges in WWW resource control, utilization, and liability.
    • The developed model serves as a proof-of-concept for web-enabled clinical decision support.