By Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales
Multi-agent structures are the most interesting study components in synthetic Intelligence. This booklet studies at the effects accomplished during this sector, discusses the advantages (and drawbacks) that agent-based structures may possibly convey to clinical domain names and society, and likewise offers an inventory of the study issues that are meant to be tackled within the close to destiny to make the deployment of health-care agent-based structures a truth. present subject matters of analysis comprise conversation and co-operation among dispensed clever brokers to regulate sufferer care.
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Accessing Electronic Healthcare Records of the Patient: The gathered vital signs of the patient can only be assessed correctly when consolidated with the Electronic Healthcare Records (EHRs) of the patient. The evaluation of the vital signs should be “personalized” for each patient, based on their past illnesses, active problems, family histories, allergies and adverse reactions. In addition to this, the clinical decision support system executing clinical guidelines needs to know the previous medical history of the patient to follow the correct branch for the medication or operation recommendations to be presented to the medical staﬀ: for example the ﬁrst line medication to be applied to a patient who may be suﬀering from myocardial infarction varies based on his/her medical history: it is not appropriate to recommend a B-blocker if the patient previously suﬀered from bronchial spasm or asthma.
42(3), pp. 190–198, 2003.  M. Entwiste and R. Shiﬀman, “Turning Guidelines into Practice: Making It Happen With Standards - Part 1,” Healthcare and Informatics Review Online, March 2005, 2005. net/. htm.  “IMED International Medical Equipment Developing Co. php. uk/˜e10110731/ecgML/. CSNUMBER=37890. php/XDS - Cross-Enterprise Document Sharing. 0. zip.  HL7ReferenceInformationModel. htm. org/loinc/. org/.  WHO, “International Statistical Classiﬁcation of Diseases and Related Health Problems, 10th Revision (ICD-10), Second Edition,” World Health Organization, Geneva, Switzerland, Tech.
Olduz et al. and use the HL7 Version 3 Data Types. In the SAPHIRE architecture, both the “Sections” and “Document Entries” are annotated with coded terms of medical terminologies and ontologies such as LOINC , SNOMED  and ICD-10  so that the clinical guideline execution environment can process the information contained in the EHR of the patient. However it should be noted that, in the clinical guideline deﬁnition the clinical information requested may have been represented through a code in a diﬀerent medical terminology from the one that has been used in the CDA document, in this case, the “Ontology Agent” of SAPHIRE multi-agent system is contacted to handle the mediation between diﬀerent coding standards.
Agent Technology and e-Health by Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales