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  • Supporting multiple agents in the execution of clinical guidelines

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    TERENZIANI229847.pdf (803.3Kb)
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    Version of Record (VoR)
    Author(s)
    Bottrighi, A
    Piovesan, L
    Terenziani, P
    Griffith University Author(s)
    Terenziani, Paolo
    Year published
    2018
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    Abstract
    Clinical guidelines (GLs) exploit evidence-based medicine to enhance the quality of patient care, and to optimize it. To achieve such goals, in many GLs different agents have to interact and cooperate in an effective way. In many cases (e.g. in chronic disorders) the GLs recommend that the treatment is not performed/completed in the hospital, but is continued in different contexts (e.g. at home, or in the general practitioner’s ambulatory), under the responsibility of different agents. Delegation of responsibility between agents is also important, as well as the possibility, for a responsible, to select the executor of an ...
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    Clinical guidelines (GLs) exploit evidence-based medicine to enhance the quality of patient care, and to optimize it. To achieve such goals, in many GLs different agents have to interact and cooperate in an effective way. In many cases (e.g. in chronic disorders) the GLs recommend that the treatment is not performed/completed in the hospital, but is continued in different contexts (e.g. at home, or in the general practitioner’s ambulatory), under the responsibility of different agents. Delegation of responsibility between agents is also important, as well as the possibility, for a responsible, to select the executor of an action (e.g., a physician main retain the responsibility of an action, but delegate to a nurse its execution). To manage such phenomena, proper support to agent interaction and communication must be provided, providing them with facilities for (1) treatment continuity (2) contextualization, (3) responsibility assignment and delegation (4) check of agent “appropriateness”. In this paper we extend GLARE, a computerized GL management system, to support such needs. We illustrate our approach by means of a practical case study.
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    Conference Title
    HEALTHINF 2018 - 11th International Conference on Health Informatics, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
    Volume
    5
    DOI
    https://doi.org/10.5220/0006654802080219
    Copyright Statement
    © 2018 SciTePress. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
    Subject
    Artificial intelligence
    Publication URI
    http://hdl.handle.net/10072/385809
    Collection
    • Conference outputs

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