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Related Experiment Videos

Obstacles to Implementing an Execution Engine for Clinical Guidelines Formalized in GLIF.

Petr Kolesa1, Josef Spidlen, Jana Zvárová

  • 1EuroMISE Centre, Institute of Computer Science AS CR, Department of the Medical Informatics, Prague, Czech Republic. kolesa@euromise.cz

Studies in Health Technology and Informatics
|September 15, 2005
PubMed
Summary

Developing an executable representation of clinical guidelines formalized in the Guideline Interchange Format (GLIF) presented challenges. We implemented a pilot engine using GELLO, addressing GLIF

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Area of Science:

  • Medical Informatics
  • Clinical Guideline Implementation
  • Health Information Technology

Background:

  • The Guideline Interchange Format (GLIF) provides a logical structure for clinical guidelines but lacks implementation-level detail.
  • Developing executable clinical guidelines requires addressing data models and execution languages beyond GLIF's scope.

Purpose of the Study:

  • To develop an executable representation of guidelines formalized in GLIF.
  • To implement a pilot engine capable of processing these executable guidelines.
  • To identify and overcome implementation obstacles in representing and executing clinical guidelines.

Main Methods:

  • Focused on utilizing existing technologies for reusability in developing the executable guideline representation.
  • Selected MUDR(2)'s native data model and evaluated execution languages including GEL, GELLO, Java, and Python.

Related Experiment Videos

  • Chose GELLO, a proposed HL7 standard, as the execution language, and addressed its limitations.

    • Main Results:

    • A pilot engine was implemented as a component of the MUltimedia Distributed Record system version 2 (MUDR(2)).
    • GELLO was selected as the execution language, despite not fully covering all necessities.
    • Specific disadvantages of GELLO were identified and addressed to enable guideline execution.

    Conclusions:

    • Executable clinical guideline development requires addressing data modeling and execution language choices.
    • GELLO, while a proposed HL7 standard, necessitates adaptations for comprehensive guideline execution.
    • The pilot engine demonstrates a viable approach to implementing executable guidelines based on GLIF.