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Using clinical preferences in argumentation about evidence from clinical trials

Published: 11 November 2010 Publication History

Abstract

Medical practice is increasingly based on the best available evidence, but the volume of information requires many clinicians to rely on systematic reviews rather than the primary evidence. However, these reviews are difficult to maintain, and often do not appear transparent to clinicians reading them. In a previous paper, we have proposed a general language for representing knowledge from clinical trials and a framework that allows reasoning with that knowledge in order to construct and evaluate arguments and counterarguments that aggregate that knowledge. However, clinicians need to feel that such a framework is responsive to their assessment of the strengths and weaknesses of different types of evidence. In this paper, we use a specific version of this existing framework to show how we can capture clinical preferences over types of evidence, and we evaluate this in a pilot study, comparing our system against the choices made by clinicians. This pilot study shows how individual clinicians aggregate evidence based on their preferences over the relative significance of the items of evidence, and it shows how our argumentation system can replicate this behaviour.

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    cover image ACM Other conferences
    IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium
    November 2010
    886 pages
    ISBN:9781450300308
    DOI:10.1145/1882992
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 11 November 2010

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    Author Tags

    1. aggregation of information
    2. argument systems
    3. biomedical knowledge representation
    4. evidence-based decision making
    5. medical decision-support

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    IHI '10
    IHI '10: ACM International Health Informatics Symposium
    November 11 - 12, 2010
    Virginia, Arlington, USA

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    • (2017)The problem of evaluating automated large-scale evidence aggregatorsSynthese10.1007/s11229-017-1627-1Online publication date: 28-Nov-2017
    • (2016)Aggregation of Clinical Evidence Using Argumentation: A Tutorial IntroductionFoundations of Biomedical Knowledge Representation10.1007/978-3-319-28007-3_20(317-337)Online publication date: 8-Jan-2016
    • (2014)Quaestio-it.com: a social intelligent debating platformJournal of Decision Systems10.1080/12460125.2014.88649623:3(333-349)Online publication date: 20-Mar-2014
    • (2012)Efficient argumentation for medical decision-makingProceedings of the Thirteenth International Conference on Principles of Knowledge Representation and Reasoning10.5555/3031843.3031918(598-602)Online publication date: 10-Jun-2012
    • (2011)Assessing medical treatment compliance based on formal process modelingProceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health10.1007/978-3-642-25364-5_37(533-546)Online publication date: 25-Nov-2011

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