DocumentCode
1503451
Title
Application of Digital Ecosystem Design Methodology Within the Health Domain
Author
Hadzic, Maja ; Chang, Elizabeth
Author_Institution
Res. Lab. for Digital Health Ecosyst., Curtin Univ. of Technol., Perth, WA, Australia
Volume
40
Issue
4
fYear
2010
fDate
7/1/2010 12:00:00 AM
Firstpage
779
Lastpage
788
Abstract
We define a digital ecosystem (DES) as the dynamic and synergetic complex of digital communities consisting of interconnected, interrelated, and interdependent digital species situated in a digital environment that interact as a functional unit and are linked together through actions, information, and transaction flows. The design of DESs requires the integration of a number of different and complementary technologies, including agent-based and self-organizing systems, ontologies, swarm intelligence, ambient intelligence, data mining, genetic algorithms, etc. The integration of multiple technologies and the resulting synergetic effects contribute to the creation of highly complex, dynamic, and powerful systems. The application of DESs within different domains has the power to transform these domains by giving them a more intelligent and a more dynamic nature. In this paper, we illustrate how a DES design methodology can be used to systematically create a Digital Health Ecosystem (DHES). We address the key steps associated with the DES design and focus specifically on the use of the electronic health records within the DHES. The design methodology framework illustrated in this paper serves as a navigating tool during the design of DHESs.
Keywords
biology computing; digital systems; ecology; ontologies (artificial intelligence); agent-based system; digital community; digital ecosystem; digital health ecosystem; electronic health record; self-organizing system; DESs design methodology; Digital Health Ecosystems (DHESs); Digital ecosystems (DESs); digital health environment; digital health species (DHS);
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher
ieee
ISSN
1083-4427
Type
jour
DOI
10.1109/TSMCA.2010.2048022
Filename
5473048
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