DocumentCode :
3227502
Title :
The RAPS Process Model: A framework for the identification and the management of risks against patient safety (RAPS)
Author :
Kormari, Efstathia ; Pertselakis, Minas ; Pateritsas, Christos ; Siolas, Georgios ; Stafylopatis, Andreas ; Gumma, Fernando
Author_Institution :
Inst. of Commun. & Comput. Syst., Nat. Tech. Univ. of Athens, Zografou, Greece
fYear :
2009
fDate :
4-7 Nov. 2009
Firstpage :
1
Lastpage :
4
Abstract :
ReMINE is a novel framework architecture for the management of risk against patient safety (RAPS) in health care systems. ReMINE allows for the collection and analysis of RAPS-related data through a semantic approach which offers a fast and secure extraction of data and correlation of the information across several domains. In this respect, the ReMINE platform will promote an early RAPS detection and forecast that will assist risk managers to provide reliable solutions. The core mechanism to control and handle all the knowledge and data from the various system components is called RAPS Process Model. This mechanism interacts also with the user by receiving and transmitting information using business process modeling and ontological engineering methodologies.
Keywords :
health care; medical information systems; ontologies (artificial intelligence); patient care; risk management; safety; semantic networks; RAPS process model; ReMINE; business process modeling; data extraction; health care systems management; information correlation; ontological engineering; risks against patient safety; semantic approach; Conference management; Data mining; Hazards; Health and safety; Hospitals; Medical services; Ontologies; Predictive models; Risk management; Technology management; Business Process Modeling; Patient safety; risk identification; risk management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on
Conference_Location :
Larnaca
Print_ISBN :
978-1-4244-5379-5
Electronic_ISBN :
978-1-4244-5379-5
Type :
conf
DOI :
10.1109/ITAB.2009.5394366
Filename :
5394366
Link To Document :
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