Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System


Journal article


Judy Gichoya, Roland E. Gamache, Daniel J. Vreeman, Brian E. Dixon, John T. Finnell, Shaun Grannis
amia, American Medical Informatics Association Annual Symposium, 2011 Nov 31, pp. 1229-1236

Cite

APA
Gichoya, J., Gamache, R. E., Vreeman, D. J., Dixon, B. E., Finnell, J. T., & Grannis, S. (2011). An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System. American Medical Informatics Association Annual Symposium, 2012, 1229–1236.

Chicago/Turabian
Gichoya, Judy, Roland E. Gamache, Daniel J. Vreeman, Brian E. Dixon, John T. Finnell, and Shaun Grannis. “An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-Based Automated Electronic Laboratory Reporting System.” American Medical Informatics Association Annual Symposium 2012 (November 31, 2011): 1229–1236.

MLA
Gichoya, Judy, et al. “An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-Based Automated Electronic Laboratory Reporting System.” American Medical Informatics Association Annual Symposium, vol. 2012, Nov. 2011, pp. 1229–36.