Jenna Marquard, PhD, FACMI

Dr. Jenna Marquard is a Professor at the University of Minnesota, School of Nursing. Her research lies at the intersection of human factors engineering and health informatics. The vision for Dr. Marquard's research is to help clinicians and patients make better decisions by providing individuals with the right information, at the right time, in the right format. Her focus is often, but not always, on the use of health information technology (IT) as a key information resource for these individuals. Dr. Marquard's work is based on 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, she has focused on the use of health information visualizations to support decision making.

The major goal of Dr. Marquard's research is 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, the focus has typically been on their use of electronic health records. For patients, the focus has typically been on their use of mobile technologies. 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.

Dr. Marquard's 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, her 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

• Fellow, American College of Medical Informatics, 2023
• 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

• American Medical Informatics Association

Austin, R. R., Jantraporn, R., Michalowski, M., & Marquard, J. (2025). Machine learning methods to discover hidden patterns in well-being and resilience for healthy aging. Journal of Nursing Scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 57(1), 72–81. https://doi.org/10.1111/jnu.13025 

Austin, R. R., Jantraporn, R., Michalowski, M., & Marquard, J. (2024). Machine learning techniques to discover hidden patterns in well-being and resilience for healthy aging. Journal of Nursing Scholarship, 57, 72-81. 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, 31(11), 2429-2439. https://doi.org/10.1093/jamia/ocae125 

Loftus, T. J., Balch, J. A., Marquard, J. L., Ray, J. M., Alper, B. S., Ojha, N., Bihorac, A., Melton-Meaux, G., Khanna, G., & Tignanelli, C. J. (2024). Longitudinal clinical decision support for assessing decisions over time: State-of-the-art and future directions. Digital Health, 10. 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, 5. 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 42(3), 168-175. https://doi.org/10.1097/CIN.0000000000001084 

Deshpande, S., Gunderson, M., Rajamani, G., Park, S., Diethelm, M., Marquard, J., Melton, G., & Rizvi, R. (2024). Development and usability evaluation of an opioid management app. Studies in Health Technology and Informatics, 310, 976–980. https://doi.org/10.3233/SHTI231110 

Muehlbauer, M., Bradley, C., Marquard, J., & Monsen, K. A. (2023). Clinical judgment and informatics: Encoding simulations using the Omaha System. Journal of Nursing Education, 62(4), 237–239. https://doi.org/10.3928/01484834-20230208-07 

Rajamani, S., Richwine, C., Austin, R. R., Martin, C., & Marquard, J. "One Size Does Not Fit All: Perspectives on Patient Portals, Whole-person Health, and Co-design for Increasing Consumer Engagement in Health," American Medical Informatics Association Clinical Informatics Conference, Minneapolis, MN. (May 2024). 

Rajamani, S., Marquard, J., Michalowski, M., Jantraporn, R., & Austin, R. R. "Unleashing the Power of Data: Examining Cognitive Challenges and Whole-person Health through Machine Learning," American Nursing Informatics Association Annual Conference, Chicago, IL. (May 2024).

Austin, R. R., Marquard, J., Umberfield, E., & Wolf, I. "Artificial Nursing? Artificial Intelligence in Nursing Practice and Research: Friend or Foe," Midwest Nursing Research Society Annual Conference, Minneapolis, MN. (February 2024).

Austin, R. R., Jantraporn, R., Michalowski, M., & Marquard, J. "Examining the Intersection of Whole-person Health and Resilience in Adults with Cognitive Impairments," Midwest Nursing Research Society Annual Conference, Minneapolis, MN. (February 2024).

Unertl, K.M., Marquard, J., Islam, H., Sarkar, N., & Rajamani, S. "Building Pathways to Biomedical Health Informatics Training and Careers: Snapshots of Intersectional AMIA Activities and Initiatives," American Medical Informatics Association Annual Symposium, New Orleans, LA. (November 2023). 

Austin, R., Rajamani, S., Jantraporn, R., & Marquard, J. "An App-aided Approach to Collecting and Examining Patient-generated Social Determinants of Health Data," American Nursing Informatics Association Annual Conference, Louisville, KY. (May 2023).

Austin, R. R., Jantraporn, R., Marquard, J., & Michalowski, M. "Designing Usable Technologies for Older Adults via Data-driven Whole-person User Personas," AI+Tech and Aging National Symposium Artificial Intelligence and Technology Collaboratories, Baltimore, MD. (March 2023).

Austin, R., Rajamani, S., Jantraporn, R., & Marquard, J. "Patient-generated Social Determinants of Health Data: An App-aided Approach and Analysis," Midwest Nursing Research Society Annual Conference, Des Moines, IA. (March 2023). 

Frackleton, P., Marquard, J., & Jacelon, C. "Methods for Comparing and Improving the Design of Physical Activity Data Visualizations," International Symposium on Human Factors and Ergonomics in Health Care, Virtual. (April 2021). 

Award: Improving Completion, Accuracy, and Dissemination Of Surgical Advanced Care Planning Trial
Principal Investigator: Melton-Meaux, Genevieve
Sponsoring Organization: University of California - San Francisco, National Institutes of Health
Award Dates: 2024 - 2025

Award: REST-PSLL: Re-engineering Surgical Recovery and Transitions Using Technology Patient Safety Learning Laboratory
Principal Investigator: Melton-Meaux, Genevieve
Sponsoring Organization: U.S. Department of Health and Human Services AHRQ
Award Dates: 2023 - 2027

Award: Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease
Principal Investigator: Marquard, Jenna Louise
Sponsoring Organization: University of Massachusetts, NIH National Institute on Aging
Award Dates: 2021 - 2026

Award: I CAN DO Surgical ACP (Improving Completion, Accuracy, and Dissemination Of Surgical Advanced Care Planning) Trial
Principal Investigator: Melton-Meaux, Genevieve
Sponsoring Organization: University of California - San Francisco, National Institutes of Health
Award Dates: 2023 - 2024

Award: Designing Usable Technologies for Older Adults via Data-Driven Whole-Person User Personas
Principal Investigator: Austin, Robin
Sponsoring Organization: University of Pennsylvania, NIH National Institute on Aging
Award Dates: 2022 - 2024

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