Electronic clinical decision support for the early recognition and management of acute kidney injury: Qualitative evaluation of end-user experience

Bevan, Mark, Heed, Andrew, Sheerin, Neil, Sims, Andrew, Price, David and Kanagasundaram, Nigel (2015) Electronic clinical decision support for the early recognition and management of acute kidney injury: Qualitative evaluation of end-user experience. In: 52nd ERA-EDTA Congress, 28-31 May 2015, London.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1093/ndt/gfv190.10

Abstract

Electronic clinical decision support (eCDS) systems have been suggested as a possible solution to deficiencies in AKI care and have been widely adopted despite limited evidence. The broader literature, however, describes alert fatigue, end-user disengagement and unintended consequences, particularly when systems are introduced with limited end-user input. A nationwide mandate now standardises the biochemical algorithm for reporting AKI but end-user interfaces remain heterogeneous with variations in IT capability, alert intrusiveness and accompanying content.

Item Type: Conference or Workshop Item (Poster)
Subjects: A300 Clinical Medicine
Department: Faculties > Health and Life Sciences > School of Health, Community and Education Studies > Public Health and Wellbeing
Depositing User: Becky Skoyles
Date Deposited: 16 Oct 2015 09:53
Last Modified: 16 Oct 2015 09:53
URI: http://nrl.northumbria.ac.uk/id/eprint/24018

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