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Related Experiment Video

Updated: Aug 28, 2025

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical

Natalia Iglesias1, Jose M Juarez1, Manuel Campos1,2

  • 1Instituto de Investigación de Tecnologías de la Información y las Comunicaciones Orientadas, University of Murcia, Murcia, Spain.

Journal of Medical Internet Research
|September 15, 2022
PubMed
Summary

openEHR Task Planning (TP) effectively models complex infection treatment pathways, offering improvements over general notations like BPMN for enhanced clinical process representation and healthcare quality.

Keywords:
BPMNCR-BSIbusiness process model and notationcatheter-related bloodstream infectionclinical guidelinesclinical pathwaysopenEHR task planning

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Area of Science:

  • Health Informatics
  • Clinical Workflow Modeling
  • Medical Process Optimization

Background:

  • Clinical pathways (CPs) use workflow formalisms for clear medical step representation, improving healthcare quality.
  • Business Process Model and Notation (BPMN) is a general tool for CPs but lacks specificity for time-critical clinical processes like infection treatment.
  • Research has focused on extending BPMN for clinical needs, but a shift to clinical-specific notations like openEHR Task Planning (TP) may offer greater advantages.

Purpose of the Study:

  • To evaluate the suitability of the clinical-oriented Task Planning (TP) formalism for representing infection treatment processes.
  • To identify potential domain-specific enhancements for TP to improve its clinical modeling capabilities.
  • To promote the adoption of CPs for better medical practice and healthcare quality.

Main Methods:

  • Literature review and analysis of clinical guidelines to identify key features of infection CPs.
  • Assessment of the presence of these key features within the TP standard.
  • Case study modeling of catheter-related bloodstream infection process patterns using TP.
  • Analysis of results to propose extensions for TP.

Main Results:

  • Standard TP primitives efficiently represented the logic of extended BPMN models in the case study.
  • Identified areas for improvement in TP to simplify the conceptual modeling of infection CPs.
  • Demonstrated TP's capability to model complex infection treatment scenarios.

Conclusions:

  • The clinical-oriented TP specification successfully models complex infection treatment process patterns, such as catheter-related bloodstream infections.
  • Identified extensions can enhance TP's adequacy for modeling infection CPs and other complex clinical conditions.
  • TP offers a promising alternative to general formalisms for improving clinical pathway representation.