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Development of decision support systems.

T A Pryor1

  • 1University of Utah, LDS Hosp., Salt Lake City 84143.

International Journal of Clinical Monitoring and Computing
|July 1, 1990
PubMed
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Hospital information systems (HIS) now require decision support capabilities beyond administrative tasks. A new software architecture using frame structures enables easier development of these vital clinical decision support applications.

Area of Science:

  • Health Informatics
  • Computer Science
  • Medical Software Architecture

Background:

  • Hospital Information Systems (HIS) are evolving beyond administrative functions.
  • Decision support capabilities are becoming essential in modern HIS.
  • Existing HIS software architectures often hinder the development of advanced decision support modules.

Purpose of the Study:

  • To describe the generic applications and levels of decision support in hospitals.
  • To introduce a novel software architecture for developing HIS decision support modules.
  • To demonstrate the practical implementation of this architecture at LDS Hospital.

Main Methods:

  • Outlined generic uses and levels of decision support across hospital applications.
  • Developed a new HIS software architecture utilizing a frame structure for knowledge representation.

Related Experiment Videos

  • Presented examples of frame syntax and their application in developing decision support modules.

    • Main Results:

    • Demonstrated the feasibility of a new software architecture for HIS decision support.
    • Showcased a frame-based knowledge representation system for clinical applications.
    • Illustrated how application developers can easily create and test decision support modules.

    Conclusions:

    • The proposed software architecture effectively supports the development of clinical decision support applications.
    • Frame-based knowledge representation facilitates the integration of decision support into HIS.
    • This approach enhances the direct interaction between decision support modules, clinicians, and patient databases.