Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications: A Position Paper from the IMIA Technology Assessment & Quality Development in Health Informatics Working Group and the EFMI Working Group for Assessment of Health Information Systems

Objectives : This paper draws attention to: i) key considerations for evaluating artificial intelligence (AI) enabled clinical decision support; and ii) challenges and practical implications of AI design, development, selection, use, and ongoing surveillance. Method : A narrative review of existing...

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Detalles Bibliográficos
Autores principales: Magrabi, Farah, Ammenwerth, Elske, McNair, Jytte Brender, De Keizer, Nicolet F., Hyppönen, Hannele, Nykänen, Pirkko, Rigby, Michael, Scott, Philip J., Vehko, Tuulikki, Wong, Zoie Shui-Yee, Georgiou, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697499/
https://www.ncbi.nlm.nih.gov/pubmed/31022752
http://dx.doi.org/10.1055/s-0039-1677903

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