Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain

Abstract Objective To identify factors influencing implementation of machine learning algorithms (MLAs) that predict clinical deterioration in hospitalized adult patients and relate these to a validated implementation framework. Materials and methods A systematic review of studies of implemented or...

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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA 2024-01, Vol.31 (2), p.509-524
Hauptverfasser:	van der Vegt, Anton H, Campbell, Victoria, Mitchell, Imogen, Malycha, James, Simpson, Joanna, Flenady, Tracy, Flabouris, Arthas, Lane, Paul J, Mehta, Naitik, Kalke, Vikrant R, Decoyna, Jovie A, Es’haghi, Nicholas, Liu, Chun-Huei, Scott, Ian A
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Clinical Deterioration Hospitals Humans Machine Learning
Online-Zugang:	Volltext
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