Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions

Nadin Kokciyan; Isabel Karen Sassoon; Anthony Peter Young; Martin David Chapman; Talya Rica Porat; Mark Ashworth; Vasa Curcin; Sanjay Modgil; Simon Dominic Parsons; Elizabeth Ida Sklar

Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions

Nadin Kokciyan, Isabel Karen Sassoon, Anthony Peter Young, Martin David Chapman, Talya Rica Porat, Mark Ashworth, Vasa Curcin, Sanjay Modgil, Simon Dominic Parsons, Elizabeth Ida Sklar

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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325 Downloads (Pure)

Abstract

CONSULT is a decision-support framework designed to help patients self-manage chronic conditions and adhere to agreed-upon treatment plans, in collaboration with healthcare professionals. The approach taken employs computational argumentation, a logic-based methodology that provides a formal means for reasoning with evidence by substantiating claims for and against particular conclusions. This paper outlines the architecture of CONSULT, illustrating how facts are gathered about the patient and various preferences of the patient and the clinician(s) involved. A logic-based representation of official treatment guidelines by various public health agencies is presented. Logical arguments are constructed from these facts and guidelines; these arguments are analysed to resolve inconsistencies concerning various treatment options and patient/clinician preferences. The claims of the justified arguments are the decisions recommended by CONSULT. A clinical example is presented which illustrates the use of CONSULT within the context of blood pressure management for secondary stroke prevention.

Original language	English
Title of host publication	AAAI Joint Workshop on Health Intelligence (W3PHIAI 2018)
Number of pages	8
Publication status	Published - 2018

Keywords

Argumentation
Healthcare
Self-Management
argumentation schemes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Towards an Argumentation System_KOKCIYAN_Published2018_GREEN AAMAccepted author manuscript, 298 KB

http://w3phiai2018.w3phi.com/

Cite this

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title = "Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions",

abstract = "CONSULT is a decision-support framework designed to help patients self-manage chronic conditions and adhere to agreed-upon treatment plans, in collaboration with healthcare professionals. The approach taken employs computational argumentation, a logic-based methodology that provides a formal means for reasoning with evidence by substantiating claims for and against particular conclusions. This paper outlines the architecture of CONSULT, illustrating how facts are gathered about the patient and various preferences of the patient and the clinician(s) involved. A logic-based representation of official treatment guidelines by various public health agencies is presented. Logical arguments are constructed from these facts and guidelines; these arguments are analysed to resolve inconsistencies concerning various treatment options and patient/clinician preferences. The claims of the justified arguments are the decisions recommended by CONSULT. A clinical example is presented which illustrates the use of CONSULT within the context of blood pressure management for secondary stroke prevention. ",

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T1 - Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions

AU - Kokciyan, Nadin

AU - Sassoon, Isabel Karen

AU - Young, Anthony Peter

AU - Chapman, Martin David

AU - Porat, Talya Rica

AU - Ashworth, Mark

AU - Curcin, Vasa

AU - Modgil, Sanjay

AU - Parsons, Simon Dominic

AU - Sklar, Elizabeth Ida

PY - 2018

Y1 - 2018

N2 - CONSULT is a decision-support framework designed to help patients self-manage chronic conditions and adhere to agreed-upon treatment plans, in collaboration with healthcare professionals. The approach taken employs computational argumentation, a logic-based methodology that provides a formal means for reasoning with evidence by substantiating claims for and against particular conclusions. This paper outlines the architecture of CONSULT, illustrating how facts are gathered about the patient and various preferences of the patient and the clinician(s) involved. A logic-based representation of official treatment guidelines by various public health agencies is presented. Logical arguments are constructed from these facts and guidelines; these arguments are analysed to resolve inconsistencies concerning various treatment options and patient/clinician preferences. The claims of the justified arguments are the decisions recommended by CONSULT. A clinical example is presented which illustrates the use of CONSULT within the context of blood pressure management for secondary stroke prevention.

AB - CONSULT is a decision-support framework designed to help patients self-manage chronic conditions and adhere to agreed-upon treatment plans, in collaboration with healthcare professionals. The approach taken employs computational argumentation, a logic-based methodology that provides a formal means for reasoning with evidence by substantiating claims for and against particular conclusions. This paper outlines the architecture of CONSULT, illustrating how facts are gathered about the patient and various preferences of the patient and the clinician(s) involved. A logic-based representation of official treatment guidelines by various public health agencies is presented. Logical arguments are constructed from these facts and guidelines; these arguments are analysed to resolve inconsistencies concerning various treatment options and patient/clinician preferences. The claims of the justified arguments are the decisions recommended by CONSULT. A clinical example is presented which illustrates the use of CONSULT within the context of blood pressure management for secondary stroke prevention.

KW - Argumentation

KW - Healthcare

KW - Self-Management

KW - argumentation schemes

M3 - Conference paper

BT - AAAI Joint Workshop on Health Intelligence (W3PHIAI 2018)

ER -

Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions

Abstract

Keywords

UN SDGs

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