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Title: Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease

Abstract

Clinical pathways (CPs) are structured healthcare plans designed to implement evidence-based clinical guidelines, medical algorithms, and protocols. In recent years, a community called BPM+ Health has worked to establish a shareable and computer-consumable representation of CP, leveraging standard notations. These notations, collectively referred to as BPM+, include the Business Process Management and Notation (BPMN), Case Management Model and Notation (CMMN), and Decision Model and Notation (DMN), which aim to support clinical management and standardized communication between different stakeholders. However, the adaptation of these notations for the existing guidelines has largely been left unexplored. This paper introduces procedural steps and criteria considerations to apply components of BPM+ notations to reconstruct a guideline for Stable Ischemic Heart Disease. This paper describes how each of the three different notations is mapped to a medical guideline and discusses the advantages and limitations of representing CPs with BPM+ as compared with paper-based medical guidelines.

Authors:
ORCiD logo [1]; ORCiD logo [1];  [2];  [2];  [2]
  1. ORNL
  2. Department of Veterans Affairs
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1731061
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 33rd IEEE International Symposium on Computer Based Medical Systems (CBMS) - Rochester, Minnesota, United States of America - 7/28/2020 8:00:00 AM-7/30/2020 8:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Chae, Junghoon, Park, Byung, Jones, Makoto, Ward, Merry, and Nebeker, Jonathan R. Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease. United States: N. p., 2020. Web. doi:10.1109/CBMS49503.2020.00092.
Chae, Junghoon, Park, Byung, Jones, Makoto, Ward, Merry, & Nebeker, Jonathan R. Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease. United States. https://doi.org/10.1109/CBMS49503.2020.00092
Chae, Junghoon, Park, Byung, Jones, Makoto, Ward, Merry, and Nebeker, Jonathan R. 2020. "Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease". United States. https://doi.org/10.1109/CBMS49503.2020.00092. https://www.osti.gov/servlets/purl/1731061.
@article{osti_1731061,
title = {Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease},
author = {Chae, Junghoon and Park, Byung and Jones, Makoto and Ward, Merry and Nebeker, Jonathan R.},
abstractNote = {Clinical pathways (CPs) are structured healthcare plans designed to implement evidence-based clinical guidelines, medical algorithms, and protocols. In recent years, a community called BPM+ Health has worked to establish a shareable and computer-consumable representation of CP, leveraging standard notations. These notations, collectively referred to as BPM+, include the Business Process Management and Notation (BPMN), Case Management Model and Notation (CMMN), and Decision Model and Notation (DMN), which aim to support clinical management and standardized communication between different stakeholders. However, the adaptation of these notations for the existing guidelines has largely been left unexplored. This paper introduces procedural steps and criteria considerations to apply components of BPM+ notations to reconstruct a guideline for Stable Ischemic Heart Disease. This paper describes how each of the three different notations is mapped to a medical guideline and discusses the advantages and limitations of representing CPs with BPM+ as compared with paper-based medical guidelines.},
doi = {10.1109/CBMS49503.2020.00092},
url = {https://www.osti.gov/biblio/1731061}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 01 00:00:00 EDT 2020},
month = {Wed Jul 01 00:00:00 EDT 2020}
}

Conference:
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