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    Application of digital ecosystems in health domain

    116037_Application%20of%2004635222.pdf (2.958Mb)
    Access Status
    Open access
    Authors
    Hadzic, Maja
    Dillon, Tharam S.
    Date
    2008
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Hadzic, Maja and Dillon, Tharam. 2008. Application of digital ecosystems in health domain, in Chang, E. and Hussain, F. (ed), Second International Conference on Digital Ecosystems and Technology, Feb 26 2008, pp. 543-547. Phitsanulok, Thailand: Institute of Electrical and Electronics Engineers (IEEE).
    Source Title
    Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008)
    Source Conference
    2nd International Conference on Digital Ecosystems and Technology (DEST 2008)
    DOI
    10.1109/DEST.2008.4635222
    ISBN
    9781424414895
    Faculty
    Curtin Business School
    School of Economics and Finance
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/31717
    Collection
    • Curtin Research Publications
    Abstract

    Digital Ecosystems (DES) have recently been introduced into the computer and information societies. A Digital Ecosystem is the dynamic and synergetic complex of Digital Communities consisting of interconnected, interrelated and interdependent Digital Species situated in a Digital Environment, that intereact as a functional unit and are linked together through actions, information and transaction flows. Digital Ecosystems integrate various cutting-edge technologies including ontologies, agent-based and self-organizing systems, swarm intelligence, ambient intelligence, data mining etc. The synergetic effects of these methodologies results in a more efficient, effective, reliable and secure system.The application of DES within the health domain would transform the way in which health information is created, stored, accessed, used, managed, analyzed and shared, and would bring an innovative breakthrough within bealth domain. In this paper, we illustrate how the DES Design Methodology can be implemented within the health domain. We focus on the key factors associated with the DES design. The design methodology framework allows better control over the design process and serves as a navigating tool during the Digital Health Ecosystems design.

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