By Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales
Multi-agent structures are essentially the most interesting study parts in man made Intelligence. This e-book experiences at the effects accomplished during this region, discusses the advantages (and drawbacks) that agent-based structures may possibly convey to clinical domain names and society, and in addition offers an inventory of the learn themes that are supposed to be tackled within the close to destiny to make the deployment of health-care agent-based platforms a truth. present subject matters of study comprise communique and co-operation among disbursed clever brokers to regulate sufferer care.
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Additional resources for Agent Technology and e-Health (Whitestein Series in Software Agent Technologies and Autonomic Computing)
Through the DIM it is possible to deﬁne and represent devices, functionalities, measurement data, calibrations, alert information and so on. On top of the DIM, it provides standardized codes for naming all information elements in the DIM such as medical devices and device systems, units of measurements through the “Nomenclature” and “Data Dictionary”. IEEE 11073 assumes that all device vendors to adopt this DIM to represent sensor data to achieve interoperability. However for the time being the vendors still using proprietary formats or diﬀerent standards can not be ignored.
The results provided by such a composition of services must, however, be trusted by the user and yet, when the services disband, the following question arises: how are we to obtain the veriﬁcation of the processes that contributed to the ﬁnal result? This problem is especially relevant for distributed medical applications. In such applications the data (containing the healthcare history of a single patient), the workﬂow (of the procedures carried out on that patient) and the logs (recording meaningful events in those procedures) are distributed among several heterogeneous and autonomous information systems.
In this paper these requirements are detailed and a semantic infrastructure to enable easy deployment and execution of clinical guidelines in heterogenous healthcare enviroments is presented. Due to the nature of the problem which necessitates having many autonomous entities dealing with heterogenous distributed resources, we have built the system as a Multi-Agent System. The architecture described in this paper is realized within the scope of IST-27074 SAPHIRE project. 1. Introduction The World is facing problems to provide high quality healthcare services at a reasonable cost to the citizens due to the increasing percentage of graying population.
Agent Technology and e-Health (Whitestein Series in Software Agent Technologies and Autonomic Computing) by Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales