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Analysing the Suitability of Multiagent Methodologies for e-Health Systems

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Agent-Oriented Software Engineering XIII (AOSE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7852))

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Abstract

Online e-health systems are being proposed and developed at an ever increasing rate. However, the progress relies on the interoperability of local healthcare software, and is often hampered by ad hoc methods leading to closed systems with a multitude of protocols, terminologies, and design approaches. Agent-oriented software engineering (AOSE) seems intuitively a good approach for developing more open systems. While agent-based e-health systems have been developed, the general hypothesis of the suitability of AOSE has not been evaluated. In this paper, we test that hypothesis, including a case study of applying a normative agent methodology to a particular real-world e-health system, and present an analysis of the strengths and weaknesses of AOSE for e-health.

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Author information

Authors and Affiliations

  1. Universitat Politecnica de Valencia, Spain

    Emilia Garcia

  2. Queen Mary, University of London, UK

    Gareth Tyson

  3. King’s College London, UK

    Simon Miles, Michael Luck, Adel Taweel & Brendan Delaney

  4. General Practice Research Database, UK

    Tjeerd Van Staa

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  1. Emilia Garcia
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  2. Gareth Tyson
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  3. Simon Miles
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  4. Michael Luck
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  5. Adel Taweel
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  6. Tjeerd Van Staa
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  7. Brendan Delaney
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Editors and Affiliations

  1. Institut für Informatik, Technische Universität Clausthal, 38678, Clausthal-Zellerfeld, Germany

    Jörg P. Müller

  2. Istituto di Calcolo e Reti ad Alte Prestazioni, Consiglio Nazionale delle Ricerche, 90128, Palermo, Italy

    Massimo Cossentino

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Garcia, E. et al. (2013). Analysing the Suitability of Multiagent Methodologies for e-Health Systems. In: Müller, J.P., Cossentino, M. (eds) Agent-Oriented Software Engineering XIII. AOSE 2012. Lecture Notes in Computer Science, vol 7852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39866-7_8

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  • DOI: https://doi.org/10.1007/978-3-642-39866-7_8

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