Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/21715

TitleImprovements in data quality for decision support in intensive care
Author(s)Portela, Filipe
Vilas-Boas, Marta
Santos, Manuel Filipe
Rua, Fernando
KeywordsReal-time
Intensive medicine
Data quality
Data acquisition
Null values
Patient ID
Electronic nursing records
Issue date2011
PublisherSpringer
JournalLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Abstract(s)Nowadays, there is a plethora of technology in hospitals and, in particular, in intensive care units. The clinical data produced everyday can be integrated in a decision support system in real-time to improve quality of care of the critically ill patients. However, there are many sensitive aspects that must be taken into account, mainly the data quality and the integration of heterogeneous data sources. This paper presents INTCare, an Intelligent Decision Support System for Intensive Care in real-time and addresses the previous aspects, in particular, the development of an Electronic Nursing Record and the improvements in the quality of monitored data.
TypeConference paper
URIhttp://hdl.handle.net/1822/21715
ISBN978-3-642-23635-8
DOI10.1007/978-3-642-23635-8_11
ISSN1867-8211
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DSI - Engenharia e Gestão de Sistemas de Informação

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