Integrated Automatic Examination Assignment Reduces Radiologist Interruptions: A 2-Year Cohort Study of 232,022 Examinations.

Radiology departments face challenges in delivering timely and accurate imaging reports, especially in high-volume, subspecialized settings. In this retrospective cohort study at a tertiary cancer center, we assessed the efficacy of an Automatic Assignment System (AAS) in improving radiology workflo...

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Publicado en:	Journal of Digital Imaging Vol. 37; no. 1; pp. 25 - 31
Autores principales:	Law, Wyanne, Terzic, Admir, Chaim, Joshua, Erinjeri, Joseph P., Hricak, Hedvig, Vargas, Hebert Alberto, Becker, Anton S.
Formato:	research tables/charts Journal Article
Publicado:	Springer Nature Feb2024
Acceso en línea:	Ver este registro en EBSCOhost