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Combining diagnosis and treatment using ASBRU.

Andreas Seyfang1, Silvia Miksch, Mar Marcos

  • 1Institute of Software Technology and Interactive Systems, University of Technology, Favoritenstrasse 9-11/188, A-1040, Vienna, Austria. seyfang@asgaard.tuwien.ac.at

International Journal of Medical Informatics
|December 7, 2002
PubMed
Summary

This study presents a new way to model the integrated diagnosis and treatment process in healthcare using the ASBRU language. It allows for a more dynamic and interconnected approach to patient care, moving beyond separate diagnostic and therapeutic tasks.

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Area of Science:

  • * Clinical informatics
  • * Medical informatics
  • * Health informatics

Background:

  • * Traditional healthcare models often separate diagnosis and treatment, limiting integrated patient care.
  • * Existing computer-supported healthcare systems predominantly focus on either diagnosis or treatment individually.
  • * The practical reality of healthcare involves significant overlap and mutual influence between diagnosis and treatment.

Purpose of the Study:

  • * To introduce a novel method for modeling the integrated diagnosis-treatment process in healthcare.
  • * To demonstrate the application of the ASBRU (A Skeletal, Time-Oriented Plans) clinical protocol-representation language for this purpose.
  • * To showcase how ASBRU can represent the dynamic interplay between diagnostic and therapeutic actions.

Main Methods:

Related Experiment Videos

  • * Utilizing the ASBRU clinical protocol-representation language to model integrated diagnosis and treatment.
  • * Implementing treatment steps within a hierarchical structure of skeletal, time-oriented plans.
  • * Modeling diagnosis declaratively within treatment conditions or explicitly as separate plans.

Main Results:

  • * ASBRU successfully models the integration of diagnosis and treatment, accommodating iterative diagnosis-treatment loops and continuous patient monitoring.
  • * The language allows for flexible representation of diagnostic elements within treatment protocols.
  • * The approach is validated using the American Association of Paediatricians' guideline for hyperbilirubinemia treatment in newborns.

Conclusions:

  • * The ASBRU language provides a robust framework for representing complex, integrated diagnosis-treatment processes.
  • * This approach enhances the modeling of dynamic patient care scenarios, improving computer-supported healthcare.
  • * The successful application to a real-world clinical guideline demonstrates the practical utility of the ASBRU model.