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dc.contributor.authorPreuveneers, Davy
dc.contributor.authorLandmark, Andreas D.
dc.contributor.authorWienhofen, Leendert W. M.
dc.contributor.editorEichler, Gerald
dc.contributor.editorWienhofen, Leendert W. M.
dc.contributor.editorKofod-Petersen, Anders
dc.contributor.editorUnger, Herwig
dc.date.accessioned2018-11-14T10:07:07Z
dc.date.available2018-11-14T10:07:07Z
dc.date.issued2012
dc.identifier.isbn978-3-88579-298-7
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/18187
dc.description.abstractOver the last century the continuous innovation of technology, coupled with a steady increase in the size of the healthcare organizations, has created a need for information systems supporting healthcare professionals with their daily tasks and decisions. Modern hospitals are full of technology producing electronic records of events and activities, with the opportunity of these events culminating in a wealth of information that these semi-autonomous experts can tap into to improve situational awareness, facilitate coordination and take better informed decisions. However, processing these footprints, contextualizing and inferring over them presents several interesting challenges to the current state of Complex Event Processing methods. This article looks at challenges presented by an information system for perioperative process support and how contextualization and adequate tool support can provide the essential backdrop for meaningful inference.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof12th International Conference on Innovative Internet Community Services (I2CS 2012)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-204
dc.titleProbabilistic event processing for situational awarenessen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages96-107
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationTrondheim, Norway
mci.conference.dateJune 13-15, 2012


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