This analysis suggests that, across CFIR domains, adaptive and generative AI systems foreground issues such as opacity, probabilistic outputs, dependence on local data ecosystems, performance drift, vendor-mediated updating, regulatory uncertainty, professional identity tensions and the need for calibrated trust.
Per Nilsen, Kathrine Hald, M. Neher· Implementation Science Commu...· 0 citations
Greater taxonomy standardization, improved reporting transparency, and stronger alignment with quality improvement and behavioural change frameworks are needed to support systematic monitoring and subsequent reductions in LVC across healthcare systems.
Luc Saulnier, Daniele Franzoi, Anne Gulbech Ording et al.· Open Research Europe· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.