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Related Experiment Video

Updated: Jun 2, 2026

Workflow and Framework for Collecting and Implementing Point-of-Care Ultrasound Data in the Management of Heart Failure Patients
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Published on: July 12, 2024

Implementation of workflow engine technology to deliver basic clinical decision support functionality.

Vojtech Huser1, Luke V Rasmussen, Ryan Oberg

  • 1Biomedical Informatics Research Center, Marshfield Clinic, Marshfield, WI, USA. vojtech.huser@gmail.com

BMC Medical Research Methodology
|April 12, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a workflow engine for clinical decision support, enabling logic testing on past data and user-friendly representation. The system, based on XML Process Definition Language, offers a flexible platform for healthcare applications.

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Published on: September 26, 2018

Area of Science:

  • Computer Science
  • Medical Informatics

Background:

  • Workflow engine technology offers graphical modeling of step-based knowledge.
  • Implementing clinical decision support (CDS) within electronic health records (EHRs) remains a challenge.
  • Previous CDS efforts lacked wide adoption due to healthcare-specific standards.

Purpose of the Study:

  • To apply workflow engine technology to clinical decision support.
  • To address challenges in testing CDS logic on retrospective data before prospective deployment.
  • To provide a user-friendly representation of clinical logic for CDS.

Main Methods:

  • Developed a system using XML Process Definition Language (XPDL) based on workflow engine technology.
  • Created a workflow editor for modeling clinical scenarios and a workflow engine for execution.
  • Utilized an open-source workflow suite for demonstrating execution on retrospective data.

Main Results:

  • Demonstrated execution of CDS logic on retrospective data using the workflow engine.
  • Showcased the system's ability to function in prospective mode, integrating with EHRs for real-time events.
  • Evaluated the flowchart-based graphical notation and system architecture using a standard evaluation framework.

Conclusions:

  • Implemented a free workflow technology software suite for clinical decision support.
  • The system supports retrospective data testing and offers a user-friendly knowledge representation.
  • Workflow engine technology provides a viable CDS platform with potential for future enhancements.