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

Nadin Kokciyan; Isabel Sassoon; Anthony P.  Young; Martin Chapman; Talya Porat; Mark Ashworth; Vasa Curcin; Sanjay Modgil; Simon Parsons; Elizabeth Sklar

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

Nadin Kokciyan, Isabel Sassoon, Anthony P. Young, Martin Chapman, Talya Porat, Mark Ashworth, Vasa Curcin, Sanjay Modgil, Simon Parsons, Elizabeth Sklar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 health-care 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	The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence
Publisher	The AAAI Press
Pages	455-462
Number of pages	8
ISBN (Electronic)	978-1-57735-801-5
Publication status	Published - 3 Feb 2018
Event	Health Intelligence Workshop at AAAI Conference on Artificial Intelligence - New Orleans, United States Duration: 2 Feb 2018 → 3 Feb 2018 http://w3phiai2018.w3phi.com/

Publication series

Name
Publisher	AAAI
ISSN (Electronic)	2374-3468

Workshop

Workshop	Health Intelligence Workshop at AAAI Conference on Artificial Intelligence
Abbreviated title	W3PHIAI 2018
Country/Territory	United States
City	New Orleans
Period	2/02/18 → 3/02/18
Internet address	http://w3phiai2018.w3phi.com/

Keywords / Materials (for Non-textual outputs)

Argumentation
Decision-Support
Healthcare
Self-Management

Access to Document

https://aaai.org/ocs/index.php/WS/AAAIW18/paper/view/16863Licence: All Rights Reserved

Cite this

Kokciyan, N., Sassoon, I., Young, A. P., Chapman, M., Porat, T., Ashworth, M., Curcin, V., Modgil, S., Parsons, S., & Sklar, E. (2018). Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions. In The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence (pp. 455-462). The AAAI Press. https://aaai.org/ocs/index.php/WS/AAAIW18/paper/view/16863

@inproceedings{2b3b110c766547239f67ab824210502d,

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 health-care 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.",

keywords = "Argumentation, Decision-Support, Healthcare, Self-Management",

author = "Nadin Kokciyan and Isabel Sassoon and Young, {Anthony P.} and Martin Chapman and Talya Porat and Mark Ashworth and Vasa Curcin and Sanjay Modgil and Simon Parsons and Elizabeth Sklar",

year = "2018",

month = feb,

day = "3",

language = "English",

publisher = "The AAAI Press",

pages = "455--462",

booktitle = "The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence",

note = "Health Intelligence Workshop at AAAI Conference on Artificial Intelligence , W3PHIAI 2018 ; Conference date: 02-02-2018 Through 03-02-2018",

url = "http://w3phiai2018.w3phi.com/",

}

Kokciyan, N, Sassoon, I, Young, AP, Chapman, M, Porat, T, Ashworth, M, Curcin, V, Modgil, S, Parsons, S & Sklar, E 2018, Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions. in The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence. The AAAI Press, pp. 455-462, Health Intelligence Workshop at AAAI Conference on Artificial Intelligence , New Orleans, Louisiana, United States, 2/02/18. <https://aaai.org/ocs/index.php/WS/AAAIW18/paper/view/16863>

TY - GEN

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

AU - Kokciyan, Nadin

AU - Sassoon, Isabel

AU - Young, Anthony P.

AU - Chapman, Martin

AU - Porat, Talya

AU - Ashworth, Mark

AU - Curcin, Vasa

AU - Modgil, Sanjay

AU - Parsons, Simon

AU - Sklar, Elizabeth

PY - 2018/2/3

Y1 - 2018/2/3

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 health-care 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 health-care 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 - Decision-Support

KW - Healthcare

KW - Self-Management

M3 - Conference contribution

SP - 455

EP - 462

BT - The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence

PB - The AAAI Press

T2 - Health Intelligence Workshop at AAAI Conference on Artificial Intelligence

Y2 - 2 February 2018 through 3 February 2018

ER -

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

Abstract

Publication series

Workshop

Keywords / Materials (for Non-textual outputs)

Access to Document

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