Automated Conflict Detection Between Medical Care Pathways

Philip Weber; Joao Bosco Ferreira Filho; Behzad Bordbar; Mark Lee; Ian Litchfield; Ruth Backman

doi:10.1002/smr.1898

Automated Conflict Detection Between Medical Care Pathways

Philip Weber, Joao Bosco Ferreira Filho, Behzad Bordbar, Mark Lee, Ian Litchfield, Ruth Backman

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

398 Downloads (Pure)

Abstract

Clinical guidelines specify sequences of steps (care pathways) to treat patients with single conditions. Increasingly many patients exhibit ‘multimorbidity’, several chronic conditions needing concurrent treatment. However, applying multiple guidelines in parallel can lead to conflicts, e.g. between prescribed drugs, lifestyle intervention recommendations, or treatment schedules. In computer science, process languages used to design and reason about software development and business process management are similar to clinical pathways. Using formal model transformation, composition and analysis methods, models can be combined and conflicts detected and resolved. We propose BPMN+V, a data-driven formal model for clinical care pathways, as an extension of BPMN. We describe a method for conflict detection using a transformation of BPMN+V to Coloured Petri Nets, and a state-space method for detection of conflict in composed models. We present results from a case study, showing that common conflicts are successfully detected, and propose extension to a complete framework for efficiently recommending resolutions to medical conflicts in composed care pathway models.

Original language	English
Article number	e1898
Number of pages	18
Journal	Journal of software: Evolution and Process
Volume	30
Issue number	7
Early online date	10 Oct 2017
DOIs	https://doi.org/10.1002/smr.1898
Publication status	Published - Jul 2018
Event	International Conference on Software and Systems Processes: ICSSP'17 - Université Pierre et Marie Curie, Paris, France Duration: 5 Jul 2017 → 7 Jul 2017 http://icssp-conferences.org/

Keywords

BPMN
Workflow models
coloured Petri nets
Model transformation
Clinical guidelines
Care Pathways
Conflict detection
Multimorbidity

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Health Informatics

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10.1002/smr.1898

MitCon Semantics Paper
Checked for eligibility: 29/08/2017 "This is the peer reviewed version of the following article: Weber P, Filho JBF, Bordbar B, Lee M, Litchfield I, Backman R. Automated conflict detection between medical care pathways. J Softw Evol Proc. 2017;e1898. https://doi.org/10.1002/smr.1898 , which has been published in final form at 10.1002/smr.1898. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Accepted author manuscript, 483 KB

4 Citations
1 Paper

Automated Conflict Detection Between Medical Care Pathways
Weber, P., Ferreira Filho, J. B., Bordbar, B., Lee, M., Litchfield, I. & Backman, R., Jul 2017.
Research output: Contribution to conference (unpublished) › Paper › peer-review

Cite this

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title = "Automated Conflict Detection Between Medical Care Pathways",

abstract = "Clinical guidelines specify sequences of steps (care pathways) to treat patients with single conditions. Increasingly many patients exhibit {\textquoteleft}multimorbidity{\textquoteright}, several chronic conditions needing concurrent treatment. However, applying multiple guidelines in parallel can lead to conflicts, e.g. between prescribed drugs, lifestyle intervention recommendations, or treatment schedules. In computer science, process languages used to design and reason about software development and business process management are similar to clinical pathways. Using formal model transformation, composition and analysis methods, models can be combined and conflicts detected and resolved. We propose BPMN+V, a data-driven formal model for clinical care pathways, as an extension of BPMN. We describe a method for conflict detection using a transformation of BPMN+V to Coloured Petri Nets, and a state-space method for detection of conflict in composed models. We present results from a case study, showing that common conflicts are successfully detected, and propose extension to a complete framework for efficiently recommending resolutions to medical conflicts in composed care pathway models.",

keywords = "BPMN, Workflow models, coloured Petri nets, Model transformation, Clinical guidelines, Care Pathways, Conflict detection, Multimorbidity",

author = "Philip Weber and {Ferreira Filho}, {Joao Bosco} and Behzad Bordbar and Mark Lee and Ian Litchfield and Ruth Backman",

year = "2018",

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AU - Weber, Philip

AU - Ferreira Filho, Joao Bosco

AU - Bordbar, Behzad

AU - Lee, Mark

AU - Litchfield, Ian

AU - Backman, Ruth

PY - 2018/7

Y1 - 2018/7

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AB - Clinical guidelines specify sequences of steps (care pathways) to treat patients with single conditions. Increasingly many patients exhibit ‘multimorbidity’, several chronic conditions needing concurrent treatment. However, applying multiple guidelines in parallel can lead to conflicts, e.g. between prescribed drugs, lifestyle intervention recommendations, or treatment schedules. In computer science, process languages used to design and reason about software development and business process management are similar to clinical pathways. Using formal model transformation, composition and analysis methods, models can be combined and conflicts detected and resolved. We propose BPMN+V, a data-driven formal model for clinical care pathways, as an extension of BPMN. We describe a method for conflict detection using a transformation of BPMN+V to Coloured Petri Nets, and a state-space method for detection of conflict in composed models. We present results from a case study, showing that common conflicts are successfully detected, and propose extension to a complete framework for efficiently recommending resolutions to medical conflicts in composed care pathway models.

KW - BPMN

KW - Workflow models

KW - coloured Petri nets

KW - Model transformation

KW - Clinical guidelines

KW - Care Pathways

KW - Conflict detection

KW - Multimorbidity

U2 - 10.1002/smr.1898

DO - 10.1002/smr.1898

M3 - Article

SN - 2047-7481

VL - 30

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M1 - e1898

T2 - International Conference on Software and Systems Processes

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ER -

Automated Conflict Detection Between Medical Care Pathways

Abstract

Keywords

ASJC Scopus subject areas

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Research output

Automated Conflict Detection Between Medical Care Pathways

Cite this