Predicting medical emergency team calls, cardiac arrest calls and re-admission after intensive care discharge: creation of a tool to identify at-risk patients Ng, YH, Pilcher, DV, Bailey, M, Bain, CA, MacManus, C and Bucknall, Tracey K 2018, Predicting medical emergency team calls, cardiac arrest calls and re-admission after intensive care discharge: creation of a tool to identify at-risk patients, Anaesthesia and intensive care, vol. 46, no. 1, pp. 88-96. Title Predicting medical emergency team calls, cardiac arrest calls and re-admission after intensive care discharge: creation of a tool to identify at-risk patients Author(s) Ng, YH Pilcher, DV Bailey, M Bain, CA MacManus, C Bucknall, Tracey K orcid.org/0000-0001-9089-3583 Journal name Anaesthesia and intensive care Volume number 46 Issue number 1 Start page 88 End page 96 Total pages 9 Publisher Australian Society of Anaesthetists Place of publication North Sydney, N.S.W. Publication date 2018-01 ISSN 0310-057X Keyword(s) Australia critical care emergency service, hospital heart arrest length of stay patient readmission retrospective studies risk factors science & technology life sciences & biomedicine anesthesiology critical care medicine general & internal medicine clinical decision-making medical emergency team clinical deterioration prediction adverse event ICU re-admissions Language eng Field of Research 11 Medical And Health Sciences HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©[2018, Australian Society of Anaesthetists] Persistent URL http://hdl.handle.net/10536/DRO/DU:30110549 Document type: Journal Article Collections: Faculty of Health Centre for Quality and Patient Safety Research Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 09 Jul 2018, 15:43:45 EST Tue, 10 Jul 2018, 05:04:53 EST Tue, 10 Jul 2018, 08:17:20 EST Sat, 18 Aug 2018, 02:31:47 EST Sat, 25 Aug 2018, 06:06:39 EST Wed, 29 Aug 2018, 11:36:18 EST Wed, 29 Aug 2018, 11:38:26 EST Wed, 29 Aug 2018, 11:39:15 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 254 Abstract Views  -  Detailed Statistics Created: Mon, 09 Jul 2018, 15:43:45 EST

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