Automated conflict resolution between multiple clinical pathways: A technology report

Ian Litchfield*, Alice Turner, Ruth Backman, João Bosco Ferreira Filho, Phil Weber, Mark Lee

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

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 how they 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.

Original languageEnglish
Pages (from-to)142-148
Number of pages7
JournalJournal of Innovation in Health Informatics
Volume25
Issue number3
DOIs
Publication statusPublished - 1 Nov 2018

Fingerprint

Critical Pathways
Negotiating
Technology
Guidelines
Software
Comorbidity
Morbidity
Secondary Care
Conflict (Psychology)
Primary Health Care
Chronic Disease

Bibliographical note

Copyright © 2018 The Author(s). Published by BCS,
The Chartered Institute for IT under Creative Commons
license http://creativecommons.org/licenses/by/4.0/

Keywords

  • Clinical guidance
  • Conflict identification
  • Decision support
  • Multimorbidity
  • Patient pathways

Cite this

Litchfield, I., Turner, A., Backman, R., Ferreira Filho, J. B., Weber, P., & Lee, M. (2018). Automated conflict resolution between multiple clinical pathways: A technology report. Journal of Innovation in Health Informatics, 25(3), 142-148. https://doi.org/10.14236/jhi.v25i3.986
Litchfield, Ian ; Turner, Alice ; Backman, Ruth ; Ferreira Filho, João Bosco ; Weber, Phil ; Lee, Mark. / Automated conflict resolution between multiple clinical pathways : A technology report. In: Journal of Innovation in Health Informatics. 2018 ; Vol. 25, No. 3. pp. 142-148.
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Litchfield, I, Turner, A, Backman, R, Ferreira Filho, JB, Weber, P & Lee, M 2018, 'Automated conflict resolution between multiple clinical pathways: A technology report', Journal of Innovation in Health Informatics, vol. 25, no. 3, pp. 142-148. https://doi.org/10.14236/jhi.v25i3.986

Automated conflict resolution between multiple clinical pathways : A technology report. / Litchfield, Ian; Turner, Alice; Backman, Ruth; Ferreira Filho, João Bosco; Weber, Phil; Lee, Mark.

In: Journal of Innovation in Health Informatics, Vol. 25, No. 3, 01.11.2018, p. 142-148.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Automated conflict resolution between multiple clinical pathways

T2 - A technology report

AU - Litchfield, Ian

AU - Turner, Alice

AU - Backman, Ruth

AU - Ferreira Filho, João Bosco

AU - Weber, Phil

AU - Lee, Mark

N1 - Copyright © 2018 The Author(s). Published by BCS, The Chartered Institute for IT under Creative Commons license http://creativecommons.org/licenses/by/4.0/

PY - 2018/11/1

Y1 - 2018/11/1

N2 - 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 how they 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.

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Litchfield I, Turner A, Backman R, Ferreira Filho JB, Weber P, Lee M. Automated conflict resolution between multiple clinical pathways: A technology report. Journal of Innovation in Health Informatics. 2018 Nov 1;25(3):142-148. https://doi.org/10.14236/jhi.v25i3.986