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

Mark Bevan; Andrew Heed; Neil Sheerin; Andrew Sims; David Price; Nigel Kanagasundaram

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

Mark Bevan, Andrew Heed, Neil Sheerin, Andrew Sims, David Price, Nigel Kanagasundaram

Nursing Midwifery and Health Department

Research output: Contribution to conference › Poster › peer-review

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.

Original language	English
Publication status	Published - 30 May 2015
Event	52nd ERA-EDTA Congress - London Duration: 30 May 2015 → …

Conference

Conference	52nd ERA-EDTA Congress
Period	30/05/15 → …

Cite this

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AU - Bevan, Mark

AU - Heed, Andrew

AU - Sheerin, Neil

AU - Sims, Andrew

AU - Price, David

AU - Kanagasundaram, Nigel

PY - 2015/5/30

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AB - 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.

M3 - Poster

T2 - 52nd ERA-EDTA Congress

Y2 - 30 May 2015

ER -

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

Abstract

Conference

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