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Jenna L. Marquard

Associate Professor

Health information technology, human factors, engineering psychology, eye-tracking, usability

Current Research
I model healthcare providers’ (e.g., physicians’ and nurses’) and patients’ cognitive and behavioral interactions with health information technology (IT) as they make decisions about preventing diseases, diagnosing health conditions, managing chronic diseases, and treating acute illnesses. We often use eye-trackers, observations, and interviews to understand where individuals are looking, and what they are doing and thinking as they perform these tasks. These cognitive and behavioral models can objectively guide health IT design and training. My research sits uniquely at the intersection of health informatics, engineering psychology or human factors, and industrial engineering.
I have developed active collaborations with physicians and nurses at five different Massachusetts institutions, and work with other engineers and computer scientists at the University of Massachusetts Amherst. Our projects vary, but examples of our collaborative work include assessments of: 1) Physicians’ interactions with electronic health records (EHRs) during outpatient office visits, 2) Physicians’ use of information in electronic progress notes, 3) Physicians’, nurses’, nursing students’, and technicians’ use of EHRs and barcode technology to verify patients’ identities, 4) Patients’ interactions with devices and websites that send data (e.g., blood pressure readings) to nurses and physicians, and 5) Patients’ choices to electronically share their health information.

Learn more at people.umass.edu/marquard/index.html

Academic Background

  • BS University of Iowa, 2003;
  • MS University of Wisconsin - Madison, 2004
  • PhD University of Wisconsin - Madison, 2007
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.
Contact Info

Mechanical and Industrial Engineering
219 Engineering Laboratory
160 Governors Drive
Amherst, MA 01003

(413) 545-0646