Assess effects of an ambient artificial intelligence (AI) scribe on documentation time, note quality, clinician and patient experience in clinician–patient encounters.
Prospective, multisite, mixed-methods, before-and-after cohort study of an ambient voice to text AI scribe generating clinical notes conducte...
Ian A. Scott, K. Stockton, Manaan Kar Ray et al.· BMJ Connections Digital Heal...· 0 citations
AI-enabled clinical decision support systems (CDSS) have the potential to support the detection of patient deterioration, but their value depends on outputs that fit clinical workflows, support reasoning, and minimise alert fatigue. Little is known about clinician perspectives on Multi-Output Early Warning Systems (M...
Monica Noselli, A. H. van der Vegt, Maxime Cordeil et al.· Journal of Technology in Beh...· 0 citations
ABSTRACT Introduction Risk prediction tools (RPTs) use clinical data to estimate the likelihood of adverse events such as medication harm and institute preventive strategies. However, their adoption in hospitals can be limited by implementation challenges, workflow integration barriers, and technical constraints. Objec...
J. Lam, M. Barras, Ian A. Scott et al.· Journal of Evaluation In Cli...· 0 citations
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