Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

Enhancing Workflow Analysis in Acute Stroke Patients Using Radiofrequency Identification and Infrared-based Real-Time Location Systems


Journal article


Adam Prater, Meredith Bowen, Emily Pavich, C. Matthew Hawkins, Nabile Safdar, Jack Fountain, Aaron Anderson, Mike Frankel, Seena Dehkharghani
Journal of The American College of Radiology, vol. 14(2), 2017 31, pp. 231-234

Cite

APA
Prater, A., Bowen, M., Pavich, E., Hawkins, C. M., Safdar, N., Fountain, J., … Dehkharghani, S. (2017). Enhancing Workflow Analysis in Acute Stroke Patients Using Radiofrequency Identification and Infrared-based Real-Time Location Systems. Journal of The American College of Radiology, 14(2), 231–234.

Chicago/Turabian
Prater, Adam, Meredith Bowen, Emily Pavich, C. Matthew Hawkins, Nabile Safdar, Jack Fountain, Aaron Anderson, Mike Frankel, and Seena Dehkharghani. “Enhancing Workflow Analysis in Acute Stroke Patients Using Radiofrequency Identification and Infrared-Based Real-Time Location Systems.” Journal of The American College of Radiology 14, no. 2 (December 31, 2017): 231–234.

MLA
Prater, Adam, et al. “Enhancing Workflow Analysis in Acute Stroke Patients Using Radiofrequency Identification and Infrared-Based Real-Time Location Systems.” Journal of The American College of Radiology, vol. 14, no. 2, Dec. 2017, pp. 231–34.