Jenna Marquard, PhD, FACMI

Dr. Jenna Marquard is a Professor in the Population Health and Systems Cooperative Unit in the School of Nursing at the University of Minnesota. Her research lies at the intersection of human factors engineering and health informatics. The vision for my research is to help clinicians and patients make better decisions. My research aims to do this by providing these individuals with the right information, at the right time, in the right format. Our focus is often, but not always, on the use of health information technology (IT) as a key information resource for these individuals. We work under the premise that health IT is not meant to replace these individuals, but rather, that health IT has the potential to support or hinder these individuals as they make complex decisions. More recently, we have focused on the use of health information visualizations to support decision making.

If health IT is to support these individuals, we must understand how they search for and use information as they make decisions. If we can better understand these information search patterns, we can design health IT that helps these individuals find the information they need quickly, and in a format that helps them make better decisions. The major goal of my research has therefore been to understand how nurses, physicians, patients, and consumers search for and use information as they make complex decisions during tasks such as treatment planning, acute care episodes, and chronic disease management. For nurses and physicians, our focus has typically been on their use of electronic health records. For patients, our focus has typically been on their use of mobile technologies.

My research has been funded by the National Science Foundation (NSF), Agency for Healthcare Research and Quality (AHRQ), and the National Institutes of Health (NIH). Within NIH, our work has been supported by multiple institutes, including the National Institute of Nursing Research (NINR) and the National Institute of Allergy and Infectious Diseases (NIAID). This diversity in funding sources is attributable to longstanding collaborations across engineering, nursing, medicine, psychology, and computer science.

PhD, University of Wisconsin-Madison
Major: Industrial and Systems Engineering

MS, University of Wisconsin-Madison
Major: Industrial and Systems Engineering

BS, University of Iowa
Major: Industrial Engineering

• Industrial Engineering Professor ‘Last Lecture’, 2020
• Outstanding Teaching Award, University of Massachusetts Amherst College of Engineering, 2020
• Industrial Engineering Professor of the Year, University of Massachusetts Amherst, 2017
• Early Career Award, University of Wisconsin-Madison College of Engineering, 2016
• Industrial Engineering Professor of the Year, University of Massachusetts Amherst, 2016
• Outstanding Junior Faculty Award, University of Massachusetts Amherst College of Engineering, 2012

• Human Factors and Ergonomics Society
• American Medical Informatics Association

 Austin, R. R., Jantraporn, R., Michalowski, M., & Marquard, J. (online ahead of print). Machine learning techniques to discover hidden patterns in well-being and resilience for healthy aging. Journal of Nursing Scholarship. https://doi.org/10.1111/jnu.13025

Rajamani, S., Austin, R., Richwine, C., Britt-Lalich, M.* Thakur, M., Odowa, Y., Jantraporn, R.*, & Marquard, J. (2024). Understanding patient portal uses and needs: Cross-sectional study in a state fair setting. JMIR Formative Research, 8, e64085. https://doi.org/10.2196/64085

Nzeyimana, A.*, Campbell, A., Scanlan, J. M., Stekler, J. D., Marquard, J. L., Saver, B. G., & Gummeson, J. (2024). DoseMate: A real-world evaluation of machine learning classification of pill taking using wrist-worn motion sensors. Proceedings of Machine Learning Research, 248, 566-581.

Marquard, J., Austin, R., & Rajamani, S. (2024). Design of patient-facing immunization visualizations affects task performance: An experimental comparison of four electronic visualizations. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae125

Loftus, T. J., Balch, J. A., Marquard, J. L., Ray, J. M., Alper, B. S., Ojha, N., ... & Tignanelli, C. J. (2024). Longitudinal clinical decision support for assessing decisions over time: State-of-the-art and future directions. Digital Health, 10, 20552076241249925. https://doi.org/10.1177/20552076241249925

Park, S.*, & Marquard, J. (2024). Nurse-centered co-design of an electronic health record nursing summary. Human Factors in Healthcare. https://doi.org/10.1016/j.hfh.2024.100065

Park, S., Marquard, J., Austin, R. R., Pieczkiewicz, D., Jantraporn, R., & Delaney, C. W. (2024). A systematic review of nurses' perceptions of electronic health record usability based on the human factor goals of satisfaction, performance, and safety. Computers, Informatics, Nursing: CIN. Advance online publication. https://doi.org/10.1097/CIN.0000000000001084

Austin, R. R., Jantraporn, R.*, Michalowski, M., & Marquard, J. (2024). Machine learning methods to discover hidden patterns in well‐being and resilience for healthy aging. Journal of Nursing Scholarship.

Deshpande, S., Gunderson, M., Rajamani, G., Park, S., Diethelm, M., Marquard, J., ... & Rizvi, R. (2024). Development and usability evaluation of an opioid management app. In MEDINFO 2023—The Future Is Accessible (pp. 976-980). IOS Press.

Muehlbauer, M., Bradley, C., Marquard, J., & Monsen, K. A. (2023). Clinical Judgment and Informatics: Encoding Simulations Using the Omaha System. The Journal of nursing education, 62(4), 237–239. https://doi.org/10.3928/01484834-20230208-07

Kandaswamy, S., Pruitt, Z., Kazi, S., Marquard, J., Owens, S., Hoffman, D. J., Ratwani, R. M., Hettinger, A. Z. (2021). Clinician Perceptions on the Use of Free-Text Communication Orders. Applied Clinical Informatics, 12 (03): 484-494. doi: https://doi.org/10.1055/s-0041-1731002 PubMed ID: 34077971.

Marquard, J. (2021). Human Factors and Organizational Issues in Health Informatics: Innovations and Opportunities. Yearbook of Medical Informatics, 30 (01): 91-99. PubMed ID: 34479382.

Marquard, J. (2021). Patient Ergonomics in the Wild: Tailoring Patient Ergonomics Models and Methods to Home and Community Settings. The Patient Factor: A Handbook on Patient Ergonomics CRC Press, 49-68.

Marquard, J. L. "Opportunities for personalized precision health technology use in health monitoring", Keynote at the NIH National Institute of Nursing Research Center Directors Meeting, NIH National Institute of Nursing Research, January 01, 2018.

Marquard, J. L. "Designing for people: Personal health monitoring device usability workshop", NIH P20-funded UManage Center: UMass Center for Building the Science of Symptom Self-Management, January 01, 2017.

Marquard, J. L. "Integrating patient-generated data into the electronic health record: patient, nurse, and physician perspective", UMass Retired Faculty Association, January 01, 2016.

Marquard, J. L. "Eye-tracking as a method for understanding clinicians’ interactions with health information technology", American Medical Informatics Association Webinar, January 01, 2016.

Martinez, V., Marquard, J. L., Saver, B., Garber, L., Preusse, P. "Taking an (even more) holistic approach to consumer health informatics design", Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, January 01, 2016.

Marquard, J. L. "Integrating patient-generated data into the EHR: primary care clinician and patient perspectives", University of Minnesota Informatics Grand Rounds, January 01, 2015.

Marquard, J. L. "Integrating patient-generated data into the EHR: primary care clinician and patient perspectives", Improving Primary Care Through Industrial and Systems Engineering (IPrACTISE) Annual Conference, January 01, 2015.

Marquard, J. L. "Interdisciplinary approaches to assessing healthcare providers’ and consumers’ health information needs", Presentation at the University of Wisconsin Madison Industrial and Systems Engineering Colloquium, Madison, Wisconsin, United States. January 01, 2014.

Marquard, J. L. "Interdisciplinary approaches to assessing healthcare providers’ and consumers’ health information needs", Presentation at the Oregon Health Sciences University Department of Medical Informatics and Clinical Epidemiology, Portland, Oregon, United States. January 01, 2014.

Marquard, J. L. "Developing behavioral and cognitive models of physicians', nurses', and consumers' interactions with health information technology", Presentation at the UMass College of Nursing Office of Research Seminar, Amherst, Massachusetts, United States. January 01, 2014.

Marquard, J. L. "Linking providers’ information search patterns to patient safety", OR Health and Sciences Univ. OB/GYN Grand Rounds, Anesthesiology & Perioperative Medicine Grand Rounds, Pulmonary & Critical Care Research Seminar, Oregon, United States. January 01, 2014.

Award: Massachusetts AI and Technology Center for Connected Car
Principal Investigator: Marquard, Jenna Louise
Sponsoring Organization: University of Massachusetts
Award Dates: 2021 - 2026

Award: Unobtrusive Sensing of Medication Intake ("USE-MI")
Principal Investigator: Marquard, Jenna Louise
Sponsoring Organization: Swedish Health Services
Award Dates: 2021 - 2022