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Related Experiment Videos

A programmable rules engine to provide clinical decision support using HTML forms.

J Heusinkveld1, A Geissbuhler, D Sheshelidze

  • 1Division of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Proceedings. AMIA Symposium
|November 24, 1999
PubMed
Summary

Clinical experts can now create and manage specialized knowledge and ordering within WizOrder using a simple HTML forms method. This empowers non-programmers to build and maintain essential clinical decision support capabilities.

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Area of Science:

  • Clinical Informatics
  • Health Information Technology

Background:

  • Clinical knowledge bases and ordering systems often require programming expertise.
  • WizOrder is an order-entry and decision support system at Vanderbilt Hospital.
  • Maintaining domain-specific knowledge in such systems can be challenging for non-programmers.

Purpose of the Study:

  • To develop a simplified method for specifying rules on HTML forms for clinical applications.
  • To enable clinical experts without programming skills to manage knowledge and ordering within WizOrder.
  • To enhance the usability and maintainability of clinical decision support systems.

Main Methods:

  • Developed a rule specification method using HTML forms.
  • Clinical knowledge base maintainers utilize HTML editors for form creation.

Related Experiment Videos

  • Spreadsheet programs are employed for rule entry.
  • A test environment with Netscape and a production environment with an embedded browser were used for form display.

    • Main Results:

    • A user-friendly approach for clinical experts to define rules for HTML forms was established.
    • The method facilitates the construction and maintenance of domain-specific knowledge within WizOrder.
    • Non-programmers can effectively contribute to the clinical knowledge base.

    Conclusions:

    • The developed method simplifies the integration of clinical expertise into order-entry systems.
    • It empowers clinical experts to directly manage and update system knowledge.
    • This approach enhances the flexibility and accessibility of clinical decision support tools.