Czock, D., Konias, M., Seidling, H., Kaltschmidt, J., Schwenger, V., Zeier, M., & Haefeli, W. E. (2015). Tailoring of alerts substantially reduces the alert burden in computerized clinical decision support for drugs that should be avoided in patients with renal disease. Journal of the American Medical Informatics Association, 22(4), . https://doi.org/10.1093/jamia/ocv027
Chicago-Zitierstil (17. Ausg.)Czock, David, Michael Konias, Hanna Seidling, Jens Kaltschmidt, Vedat Schwenger, Martin Zeier, und Walter E. Haefeli. "Tailoring of Alerts Substantially Reduces the Alert Burden in Computerized Clinical Decision Support for Drugs That Should Be Avoided in Patients with Renal Disease." Journal of the American Medical Informatics Association 22, no. 4 (2015). https://doi.org/10.1093/jamia/ocv027.
MLA-Zitierstil (9. Ausg.)Czock, David, et al. "Tailoring of Alerts Substantially Reduces the Alert Burden in Computerized Clinical Decision Support for Drugs That Should Be Avoided in Patients with Renal Disease." Journal of the American Medical Informatics Association, vol. 22, no. 4, 2015, https://doi.org/10.1093/jamia/ocv027.