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Automated conflict resolution for patients with multiple morbidity being treated using more than one set of single condition clinical guidance: A case study.
Litchfield, Ian; Turner, Alice M; Ferreira Filho, João Bosco; Lee, Mark; Weber, Phil.
  • Litchfield I; Institute of Applied Health Research, University of Birmingham, UK. Electronic address: I.litchfield@bham.ac.
  • Turner AM; Institute of Applied Health Research, University of Birmingham, UK.
  • Ferreira Filho JB; Department of Computer Science, Federal University of Ceará, Brazil.
  • Lee M; School of Computer Science, University of Birmingham, UK.
  • Weber P; Department of Computer Science, Aston University, UK.
Comput Biol Med ; 144: 105381, 2022 05.
Article in English | MEDLINE | ID: covidwho-1773221
ABSTRACT

BACKGROUND:

The number of people in the UK with two or more conditions continues to grow and their clinical management is complicated by the reliance on guidance focused on a single condition. This leaves individual clinicians responsible for collating disparate information from patient management systems and care recommendations to manually manage the contradictions that exist in the simultaneous treatment of various conditions. METHODS/

DESIGN:

We have devised a modelling language based on BPMN that allows us to create computer interpretable representations of single condition guidance and incorporate patient data to detect the points of conflict between multiple conditions based on their transformation to logical constraints. This has been used to develop a prototype clinical decision support tool that we can use to highlight the causes of conflict between them in three main areas medication, lifestyle and well-being, and appointment bookings.

RESULTS:

The prototype tool was used to discern contradictions in the care recommendations of chronic obstructive pulmonary disease and osteoarthritis. These were presented to a panel of clinicians who confirmed that the tool produced clinically relevant alerts that can advise clinicians of the presence of conflicts between guidelines relating to both clashes in medication or lifestyle advice.

CONCLUSIONS:

The need for supporting general practitioners in their treatment of patients remains and this proof of concept has demonstrated that by converting this guidance into computer-interpretable pathways we can use constraint solvers to readily identify clinically relevant points of conflict between critical elements of the pathway.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Decision Support Systems, Clinical / Pulmonary Disease, Chronic Obstructive Type of study: Case report / Prognostic study Limits: Humans Language: English Journal: Comput Biol Med Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Decision Support Systems, Clinical / Pulmonary Disease, Chronic Obstructive Type of study: Case report / Prognostic study Limits: Humans Language: English Journal: Comput Biol Med Year: 2022 Document Type: Article