Jenna L. Marquard
Associate Professor
Henneman, E., Marquard, J., Fisher, D., & Gawlinski, A. Eye tracking: A novel approach for evaluating and
improving the safety of healthcare processes in the simulated setting. Accepted for Publication in Simulation in Healthcare
Hultman, G., Marquard, J., Arsoniadis, E., Mink, P., Rizvi, R., Ramer, T., Khairat, S., Fickau, K., & Melton, G. (2016). Usability Testing of Two Ambulatory EHR Navigators. Applied Clinical Informatics, 7(2), 502-15.
Saver, B., Marquard J., Garber, L., Amster, B., Preusse, P., & Gove, D. (2015). Barriers to Implementing and Disseminating an Intervention to Improve Hypertension Control with Home Monitoring and Uploading of Data Into an Electronic Health Record. J Patient-Centered Res Rev. 2 110.
Brown, P., Marquard, J., Amster, B., Romoser, M., & Fisher, D. (2014). What Do Physicians Read (and Ignore) in Electronic Progress Notes? Applied Clinical Informatics, 5(2) 430-44.
Marquard, J., Garber, L., Saver, B., Amster, B., Kelleher, M., & Preusse, P. (2013). Challenges Integrating Patient-Generated Data into a Clinical EHR: Lessons from the Conduit-HID Project. International Journal of Medical Informatics, 82(10), 903-10.
Marquard, J., Jo, J., Henneman, P., Fisher, D., & Henneman, B. (2013). Can visualizations complement our choices of quantitative process analysis measures? A case study of nurses identifying patients before administering medications. Journal of Cognitive Engineering and Decision Making, 7(2), 198-210.
Marquard, J. & Zayas-Cabán, T. (2012). Commercial off-the-shelf consumer health interventions: Recommendations for their design, evaluation, and redesign. Journal of the American Medical Informatics Association, 19(1), 137-42.
Marquard, J., Henneman, P., He, Z., Jo, J., Fisher, D., & Henneman, E. (2011). Nurses’ behaviors and visual scanning patterns may reduce patient identification errors. Journal of Experimental Psychology: Applied, 17(3), 247-56.