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A temporal-abstraction mediator for protocol-based decision-support systems

A K Das1, Y Shahar, S W Tu

  • 1Section on Medical Informatics, Stanford University School of Medicine, California 94305-5479.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1994
PubMed
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We developed a novel data-interpretation module to integrate clinical decision-support systems with existing databases. This module effectively detects temporal abstractions, overcoming deployment limitations for these critical healthcare tools.

Area of Science:

  • Medical Informatics
  • Computer Science

Background:

  • Clinical decision-support applications face deployment challenges due to difficulties integrating with existing healthcare databases.
  • Effective temporal abstraction is crucial for protocol-based reasoning in clinical decision support.

Purpose of the Study:

  • To design and develop a data-interpretation module capable of detecting temporal abstractions.
  • To enable seamless integration of clinical decision-support systems with autonomous clinical databases.

Main Methods:

  • Coupling two existing systems, RESUME and Chronus, for complementary temporal-abstraction techniques.
  • Encapsulating RESUME and Chronus into a single, embeddable data-interpretation module.
  • Utilizing domain-specific knowledge and time-stamped data for temporal query resolution.

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Main Results:

  • The developed module successfully resolves temporal queries for protocol planners.
  • The module integrates domain-specific knowledge with time-stamped clinical data.
  • Demonstrated superiority over other methods in data- and knowledge-intensive environments.

Conclusions:

  • The novel data-interpretation module overcomes database integration barriers for clinical decision-support systems.
  • This approach enhances the scalability and deployment of protocol-based reasoning systems.
  • The module effectively supports the detection of temporal abstractions in complex clinical data.