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Related Experiment Video

Updated: Apr 27, 2026

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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Improved workflow modelling using role activity diagram-based modelling with application to a radiology service case

Nagesh Shukla1, John E Keast2, Darek Ceglarek3

  • 1The Digital Laboratory, WMG, University of Warwick, Coventry CV4 7AL, UK; SMART Infrastructure Facility, University of Wollongong, NSW 2522, Australia.

Computer Methods and Programs in Biomedicine
|June 26, 2014
PubMed
Summary

This study introduces a new method for detailed healthcare workflow modeling using sequential interviews. It improves upon existing techniques by systematically capturing roles, actions, and decisions for better process analysis.

Keywords:
Healthcare process modellingRadiologyWorkflow

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Area of Science:

  • Healthcare Management
  • Process Engineering
  • Information Systems

Background:

  • Current healthcare workflow models often oversimplify patient flow, relying on limited data sources like observations and historical data.
  • Existing methods lack detailed representation of roles, interactions, actions, and decisions within complex service delivery processes.

Purpose of the Study:

  • To present a systematic and semi-automatic methodology for knowledge acquisition in healthcare workflow modeling.
  • To enable detailed process representation by capturing intricate details of service delivery.

Main Methods:

  • The methodology involves sequential interviews with key personnel to generate initial protocols.
  • It employs qualitative interviews, feature extraction, relationship discovery, and graphical representation for model creation.
  • A case study of a magnetic resonance (MR) scanning service delivery process was used for demonstration.

Main Results:

  • The developed methodology allows for comprehensive modeling of roles, interactions, actions, and decisions.
  • A structured, graphical model of the MR scanning service delivery process was generated.
  • Guidelines for visual analysis to identify process vulnerabilities were presented.

Conclusions:

  • The proposed methodology offers a more detailed and systematic approach to healthcare workflow modeling compared to traditional methods.
  • This approach enhances the identification of process vulnerabilities and facilitates process improvement in healthcare settings.