This paper investigates the feasibility ofemploying the Software Agent technology in the highlydynamic and variable context of healthcare emergencycoordination and decision-support domain. We introduce thedesign of an agent-based middleware tailored to therequirements of such context and propose a framework,called UbiMedic, for the implementation and deployment ofservices, like monitoring services, communications andremote medical measurements in injured people. From theanalysis of the framework, we are able to identify some of themajor technical requirements it should meet as well aschallenges to be addressed for effective use in commercialapplications. We choose software agents as the key enablingtechnology because they offer a single, general framework inwhich large-scale, distributed real-time decision-supportapplications can be implemented more efficiently.
The UbiMedic Framework to Support Medical Emergencies by Ubiquitous Computing / DE MOLA, Francesco; Cabri, Giacomo; N., Muratori; Quitadamo, Raffaele; Zambonelli, Franco. - In: INTERNATIONAL TRANSACTIONS ON SYSTEMS SCIENCE AND APPLICATIONS. - ISSN 1751-1461. - STAMPA. - 1:(2006), pp. 15-26.
The UbiMedic Framework to Support Medical Emergencies by Ubiquitous Computing
DE MOLA, Francesco;CABRI, Giacomo;QUITADAMO, Raffaele;ZAMBONELLI, Franco
2006
Abstract
This paper investigates the feasibility ofemploying the Software Agent technology in the highlydynamic and variable context of healthcare emergencycoordination and decision-support domain. We introduce thedesign of an agent-based middleware tailored to therequirements of such context and propose a framework,called UbiMedic, for the implementation and deployment ofservices, like monitoring services, communications andremote medical measurements in injured people. From theanalysis of the framework, we are able to identify some of themajor technical requirements it should meet as well aschallenges to be addressed for effective use in commercialapplications. We choose software agents as the key enablingtechnology because they offer a single, general framework inwhich large-scale, distributed real-time decision-supportapplications can be implemented more efficiently.
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