By Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales
Multi-agent structures are essentially the most fascinating study parts in synthetic Intelligence. This booklet reviews at the effects accomplished during this sector, discusses the advantages (and drawbacks) that agent-based structures might convey to clinical domain names and society, and likewise offers an inventory of the learn subject matters that are supposed to be tackled within the close to destiny to make the deployment of health-care agent-based platforms a truth. present issues of study comprise verbal exchange 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)
All of these necessitate technologies for long term monitoring of the patients both in hospital and home settings. Enabling underlying infrastructures such as wireless medical sensor devices, wearable medical systems integrating sensors on body-worn platforms like wristworn devices or biomedical clothes are oﬀering pervasive solutions for continuous health status monitoring through non-invasive biomedical, biochemical and physical measurements. Remote monitoring systems typically collect these patient readings and then transmit them to a remote server for storage and later examination by healthcare professionals.
Within the scope of SAPHIRE project, we have extended the original GLIF model, and semantically annotated the external interfaces of the guideline execution environment with EHR systems, Medical sensor devices and Healthcare Information Systems so that the required resources such as EHR documents can be dynamically discovered in the deployment phase. We have extended the model so that: 38 G. B. Laleci, A. Dogac, M. Olduz et al. Figure 4. The SAPHIRE Agent Factory GUI • the functionality of the medical procedures to be interacted can be speciﬁed through ontologies.
Olduz et al. i)) :reply-with translation-query-1123234) (11348-0)) :in-reply-to translation-query-1123234) Figure 3. An example translation request and response • Mapping the parameters of Medical Web Services: In one of our previous projects, Artemis , we have developed an OWL Ontology Mapping Tool, the OWLmt , to mediate the input and output parameters of medical Web services between diﬀerent standards. The SAPHIRE Ontology Agent handles such mapping requests through the OWLmt tool. The OWLmt tool provides a graphical interface to deﬁne the mapping patterns between OWL ontologies in diﬀerent structures but with an overlapping content.