DocumentCode :
1330872
Title :
Integration of the HL7 Standard in a Multiagent System to Support Personalized Access to e-Health Services
Author :
De Meo, Pasquale ; Quattrone, Giovanni ; Ursino, Domenico
Author_Institution :
Univ. Mediterranea de Reggio Calabria, Reggio Calabria, Italy
Volume :
23
Issue :
8
fYear :
2011
Firstpage :
1244
Lastpage :
1260
Abstract :
In this paper, we present a multiagent system to support patients in search of healthcare services in an e-health scenario. The proposed system is HL7-aware in that it represents both patient and service information according to the directives of HL7, the information management standard adopted in medical context. Our system builds a profile for each patient and uses it to detect Healthcare Service Providers delivering e-health services potentially capable of satisfying his needs. In order to handle this search it can exploit three different algorithms: the first, called PPB, uses only information stored in the patient profile; the second, called DS-PPB, considers both information stored in the patient profile and similarities among the e-health services delivered by the involved providers; the third, called AB, relies on A*, a popular search algorithm in Artificial Intelligence. Our system builds also a social network of patients; once a patient submits a query and retrieves a set of services relevant to him, our system applies a spreading activation technique on this social network to find other patients who may benefit from these services.
Keywords :
health care; medical computing; multi-agent systems; search problems; A*; AB; DS-PPB; HL7 standard; artificial intelligence; e-health services; healthcare service providers; multiagent system; patient profile; search algorithm; spreading activation technique; Databases; Dictionaries; History; Medical services; Social network services; Vocabulary; XML; HL7; Intelligent agents; healthcare; human-centered computing; knowledge personalization and customization; multiagent systems; personalized search of services.;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2010.174
Filename :
5582095
Link To Document :
بازگشت