DocumentCode :
3273572
Title :
Modeling Requirement Driven Architecture of Adaptive Healthcare System Based on Semiotics
Author :
Hongqiao, Yang ; Weizi, Li
Author_Institution :
Chinese PLA Gen. Hosp., Beijing, China
Volume :
2
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
723
Lastpage :
727
Abstract :
In order to improve the quality of healthcare services, the integrated large-scale medical information system is needed to adapt to the changing medical environment. In this paper, we propose a requirement driven architecture of healthcare information system with hierarchical architecture. The system operates through the mapping mechanism between these layers and thus can organize functions dynamically adapting to user´s requirement. Furthermore, we introduce the organizational semiotics methods to capture and analyze user´s requirement through ontology chart and norms. Based on these results, the structure of user´s requirement pattern(URP) is established as the driven factor of our system. Our research makes a contribution to design architecture of healthcare system which can adapt to the changing medical environment.
Keywords :
health care; medical information systems; ontologies (artificial intelligence); software architecture; adaptive healthcare system; healthcare information system; healthcare service; medical information system; ontology; organizational semiotics method; requirement driven architecture modeling; user requirement pattern; Adaptive systems; Computer architecture; Hospitals; Information systems; Information technology; Management information systems; Medical information systems; Medical services; Service oriented architecture; Technology management; adaptive; healthcare system; organizational semiotics; requirement modeling; requirement pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
Type :
conf
DOI :
10.1109/IFITA.2009.277
Filename :
5231463
Link To Document :
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