Automated conflict resolution between multiple clinical pathways: a technology report

Background: The number of people in the UK with three or more long-term conditions continues to grow and the management of patients with co-morbidities is complex. In treating patients with multimorbidities, a fundamental problem is understanding and detecting points of conflict between different gu...

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Main Authors: Ian Litchfield, Alice Turner, Ruth Backman, João Bosco Ferreira Filho, Mark Lee
Format: Article
Language:English
Published: BCS, The Chartered Institute for IT 2018-10-01
Series:Journal of Innovation in Health Informatics
Subjects:
Online Access:https://hijournal.bcs.org/index.php/jhi/article/view/986
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spelling doaj-b0cf1f31cb084072980795ddd151d9602020-11-25T00:03:10ZengBCS, The Chartered Institute for ITJournal of Innovation in Health Informatics2058-45552058-45632018-10-0125314214810.14236/jhi.v25i3.986870Automated conflict resolution between multiple clinical pathways: a technology reportIan Litchfield0Alice Turner1Ruth Backman2João Bosco Ferreira Filho3Mark Lee4University of BirminghamInstitute of Applied Health Research, College of Medical and Dental Sciences, University of BirminghamInstitute of Applied Health Research, College of Medical and Dental Sciences, University of BirminghamDepartment of Computer Science, Federal University of CearaSchool of Computer Science, College of Engineering and Physical Sciences, University of BirminghamBackground: The number of people in the UK with three or more long-term conditions continues to grow and the management of patients with co-morbidities is complex. In treating patients with multimorbidities, a fundamental problem is understanding and detecting points of conflict between different guidelines which to date has relied on individual clinicians collating disparate information. Objective: We will develop a framework for modelling a diverse set of care pathways, and investigate how conflicts can be detected and resolved automatically. We will use this knowledge to develop a software tool for use by clinicians that can map guidelines, highlight root causes of conflict between these guidelines and suggest ways they might be resolved. Method: Our work consists of three phases. First, we will accurately model clinical pathways for six of the most common chronic diseases; second, we will automatically identify and detect sources of conflict across the pathways and howthey might be resolved. Third, we will present a case study to prove the validity of our approach using a team of clinicians to detect and resolve the conflicts in the treatment of a fictional patient with multiple common morbidities and compare their findings and recommendations with those derived automatically using our novel software. Discussion: This paper describes the development of an important software-based method for identifying a conflict between clinical guidelines. Our findings will support clinicians treating patients with multimorbidity in both primary and secondary care settings.https://hijournal.bcs.org/index.php/jhi/article/view/986Computer Software Applicationsmultimorbiditycare pathways
collection DOAJ
language English
format Article
sources DOAJ
author Ian Litchfield
Alice Turner
Ruth Backman
João Bosco Ferreira Filho
Mark Lee
spellingShingle Ian Litchfield
Alice Turner
Ruth Backman
João Bosco Ferreira Filho
Mark Lee
Automated conflict resolution between multiple clinical pathways: a technology report
Journal of Innovation in Health Informatics
Computer Software Applications
multimorbidity
care pathways
author_facet Ian Litchfield
Alice Turner
Ruth Backman
João Bosco Ferreira Filho
Mark Lee
author_sort Ian Litchfield
title Automated conflict resolution between multiple clinical pathways: a technology report
title_short Automated conflict resolution between multiple clinical pathways: a technology report
title_full Automated conflict resolution between multiple clinical pathways: a technology report
title_fullStr Automated conflict resolution between multiple clinical pathways: a technology report
title_full_unstemmed Automated conflict resolution between multiple clinical pathways: a technology report
title_sort automated conflict resolution between multiple clinical pathways: a technology report
publisher BCS, The Chartered Institute for IT
series Journal of Innovation in Health Informatics
issn 2058-4555
2058-4563
publishDate 2018-10-01
description Background: The number of people in the UK with three or more long-term conditions continues to grow and the management of patients with co-morbidities is complex. In treating patients with multimorbidities, a fundamental problem is understanding and detecting points of conflict between different guidelines which to date has relied on individual clinicians collating disparate information. Objective: We will develop a framework for modelling a diverse set of care pathways, and investigate how conflicts can be detected and resolved automatically. We will use this knowledge to develop a software tool for use by clinicians that can map guidelines, highlight root causes of conflict between these guidelines and suggest ways they might be resolved. Method: Our work consists of three phases. First, we will accurately model clinical pathways for six of the most common chronic diseases; second, we will automatically identify and detect sources of conflict across the pathways and howthey might be resolved. Third, we will present a case study to prove the validity of our approach using a team of clinicians to detect and resolve the conflicts in the treatment of a fictional patient with multiple common morbidities and compare their findings and recommendations with those derived automatically using our novel software. Discussion: This paper describes the development of an important software-based method for identifying a conflict between clinical guidelines. Our findings will support clinicians treating patients with multimorbidity in both primary and secondary care settings.
topic Computer Software Applications
multimorbidity
care pathways
url https://hijournal.bcs.org/index.php/jhi/article/view/986
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