IM+io Fachmagazin, Ausgabe 3/2018

Bessere Gesundheitsversorgung durch intelligente Datennutzung: KI reduziert Aufwand in der Radiologie und schafft mehr Patientennähe

Jörg Aumüller, Siemens Healthineers

 

LITERATURANGABEN

[1] The Royal College of Radiologists: Clinical radiology UK workforce census 2016 report, https://www.rcr.ac.uk/system/files/publication/field_publication_files/cr_workforce_census_2016_report_0.pdf, Oktober 2017.
[2] Sokolovskaya, E. et al.: The Effect of Faster Reporting Speed for Imaging Studies on the Number of Misseand Interpretation Errors: A Pilot Study, Journal of the American College of Radiology, Volume 12, Issue 7, 683-688, http://www.jacr.org/article/S1546-1440(15)00203-3/pdf, 2015.
[3] Numbers represent Medicare reimbursement only. Calculation based on 2015 Medicare reports.
CMS Statistics, Journal of the American Radiology 2017:14:337-342.