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A Multi-Agent Solution for the Interoperability Issue in Health Information Systems.

Authors: SERNANI, PAOLO; CLAUDI, ANDREA; PALAZZO, Luca; DOLCINI, Gianluca; DRAGONI, Aldo Franco;

A Multi-Agent Solution for the Interoperability Issue in Health Information Systems.

Abstract

To achieve high quality and efficiency standards, interoperability between different information systems in health- care is strongly required. Distribution, high modularity, robust- ness are features of agent oriented architectures, making Multi- Agent Systems (MAS) ideal for Health Information Systems (HIS), as the healthcare domain is characterized by system and data heterogeneity. This paper presents an agent oriented architecture to address this kind of issues, capable to access geographically distributed data to allow health professionals to retrieve/update any patient’s record efficiently and reliably. The proposed architecture is composed by three layers, to allow local data storage keeping clinical information available by authorized facilities and physicians. Furthermore MAS technology integrates with legacy systems, wrapping them with agents

Country
Italy
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Keywords

Multi-Agent Systems; e-healt

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green