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A temporal database mediator for protocol-based decision support

J H Nguyen1, Y Shahar, S W Tu

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

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1997
PubMed
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A new module automatically coordinates temporal-abstraction (RESUME) and temporal-querying (Chronus) for clinical decision support. This system efficiently retrieves and summarizes time-oriented patient data for improved protocol planning and reasoning.

Area of Science:

  • Clinical Informatics
  • Artificial Intelligence in Medicine

Background:

  • Clinical data management systems require efficient processing of time-oriented patient data for decision support.
  • Existing temporal-abstraction and querying modules (RESUME, Chronus) needed application-specific coordination.

Purpose of the Study:

  • To develop an integrated module for automatic coordination of temporal data processing.
  • To enhance clinical decision support systems with automated temporal data retrieval and summarization.

Main Methods:

  • Integration of the RESUME temporal-abstraction module and the Chronus temporal-querying module.
  • Development of a new module for automatic coordination and retrieval of time-oriented clinical data.

Main Results:

Related Experiment Videos

  • The new module seamlessly integrates previous functionalities for automated temporal data management.
  • The system can be used standalone or embedded within larger clinical reasoning frameworks.

    • Conclusions:

    • The integrated module simplifies and automizes the retrieval and abstraction of temporal patient data.
    • This advancement supports more effective protocol-based clinical decision support and reasoning.