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Related Experiment Videos

Extending contemporary decision support system designs to patient-oriented systems

G C Scott1, L A Lenert

  • 1Division of Clinical Pharmacology, Stanford University School of Medicine, California, USA.

Proceedings. AMIA Symposium
|February 3, 1999
PubMed
Summary

Knowledge engineering architectures enhance patient decision support systems (PDSS). This study details a five-step model and a layered architecture for efficient PDSS development, improving patient care.

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Area of Science:

  • Health Informatics
  • Knowledge Engineering
  • Decision Support Systems

Background:

  • Patient decision support systems (PDSS) can be improved using knowledge engineering principles.
  • PDSS differ significantly from decision support systems designed for health professionals.
  • Efficient development of PDSS requires specialized architectural approaches.

Purpose of the Study:

  • To differentiate patient decision support systems from those for health professionals.
  • To outline knowledge engineering principles for enhancing PDSS development efficiency.
  • To present a novel architecture for patient decision support.

Main Methods:

  • Described a five-step process model for patient-computer dialogue.
  • Incorporated the process model into a knowledge engineering ontology-based architecture.

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  • Discussed implementation using an object-based model and a relational database management system.

    • Main Results:

    • Proposed a structured architecture for patient decision support.
    • The architecture features transient and persistent application layers.
    • Demonstrated a viable implementation strategy using relational databases.

    Conclusions:

    • Knowledge engineering offers a robust framework for developing effective PDSS.
    • The proposed architecture and process model can streamline PDSS creation.
    • This approach supports a generalizable framework for patient decision support.