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An AI-Based Approach to Support Communication in Health Care Organizations

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Artificial Intelligence in Medicine (AIME 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2101))

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Abstract

The increasing pressure on health care organizations to ensure efficiency and cost-effectiveness, balancing quality of care and cost containment, will drive them towards a more effective knowledge management. An appropriate information system will enable organizations to store, retrieve and apply all collective experience and know-how of its members, and to share it with other cooperating organizations. Information and communication technology provides effective tools for designing health care information systems and for supporting inter-organization communication. In this paper an organization is modeled starting from enterprise ontology and communication is supported through a KQML message-based representation; a conversation protocol explicitly defines cooperation modalities among communities of practice. A prototype of a communication broker has been designed and developed to assist health care professionals in scheduling activities within or across organizations; its implementation is based on the interchangeability between communication and computation tasks.

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© 2001 Springer-Verlag Berlin Heidelberg

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Marchetti, D., Lanzola, G., Stefanelli, M. (2001). An AI-Based Approach to Support Communication in Health Care Organizations. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_52

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  • DOI: https://doi.org/10.1007/3-540-48229-6_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42294-5

  • Online ISBN: 978-3-540-48229-1

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