Lisiane Pruinelli, PhD, RN, FAMIA

Assistant Professor, Population Health and Systems Cooperative

Lisiane Pruinelli

Contact Info

pruin001@umn.edu

Office Phone 612-626-5144

Office Address:
6-183 Weaver-Densford Hall

Assistant Professor, Population Health and Systems Cooperative

Affiliate Faculty, Institute for Health Informatics


PhD, University of Minnesota (Nursing), 2016

MS, Federal University of Rio Grande do Sul, Brazil (Nursing), 2008

Teaching Degree, Federal University of Rio Grande do Sul, Brazil (Nursing), 2002

BSN, Federal University of Rio Grande do Sul, Brazil, 2000

Summary

Dr. Pruinelli is an Assistant Professor in the School of Nursing. She earned a PhD degree from the University of Minnesota School of Nursing and a Master’s of Sciences and a Bachelor’s of Nursing Sciences degrees from the Federal University of Rio Grande do Sul, Brazil. She teaches health informatics and data science for undergraduate and graduate students. In addition, she is an Affiliate Faculty at the Institute for Health Informatics, where she collaborates in research and advising.

She began her career as an acute care nurse and a multi-organ transplant coordinator where she worked with hundreds of organ transplant patients. She realized that when people waiting for transplants were healthier they responded better after the transplants. Her life’s work is to demonstrate that we can improve recipient’s lives before and after the transplant. In addition, she is a clinical informatics researcher at the University of Minnesota where she leverages innovative nursing informatics tools and cutting-edge data science methods to investigate complex disease conditions. Her research is focused on disease trajectories, building models over a continuum, with the goal to identify the problems and targeting interventions to increase the quality of health care delivery and improve the end to end patient care experience. She uses large and heterogeneous electronic health data to discover new knowledge using a multidisciplinary approach to health.

Awards & Recognition

2019 Fellow of the American Medical Informatics Association (FAMIA), American Medical Informatics Association

2015-2016 Doctoral Dissertation Fellowship – UMN Graduate School

2015 Big Data Coursework for Computational Medicine (BDC4CM) – A NIH – Mayo Clinic/UMN Fellowship

2010 “Dr. T. Heather Herdman Scholarship”. Award in recognition to clinical nurses working in Developing Countries, received on North American Nursing Diagnoses Association - International Conference in Madrid, Spain.

Professional Associations

  • Center Membership
    Center for Nursing Informatics

Research

Research Summary/Interests

Research Funding Grants

09/01/2016-08/31/2021 - Funding: National Science Foundation

Title: SCH: EXP: Collaborative Research: Group-Specific Learning to Personalize Evidence-Based Medicine

01/31/2018-12/31-2021 - UMN School of Nursing Foundation

Title: Improving Population Outcomes Using Data Science: A Roadmap for Nurse Leaders

01/01/2020 - UMN Driven to Discover Research Facility at the Minnesota State Fair

Title: Recruiting and Evaluating Biomarkers for Cognitive, Physical, and Emotional Wellbeing

02/01/2019-01/31/2020 - Funding: Brochure Foundation

Title: Artificial Intelligence for Nursing: Ethical, Legal and Social Implications

01/01/2018-06/30/2019 - Funding: University of Minnesota – Office of the Vice President for Research Grant-in-Aid

Title: Improving Survival for Liver Transplant Recipients Using Big Data Strategies

04/2016-08/2016 - Funding: MNRS Joseph and Jean Buckwalter

Title: Knowledge Discovery for Liver Transplant Survival

Publications


Pruinelli, L., Schmiesing, A. L., James, M., Mathianson-moore, M., Schold, J., & Simon, G. J. (2020). Variability in General Health Status Post Liver Transplantation. Proceedings of the First Workshop on Artificial Intelligence for Function, Disability, and Health 1--7. Creative Commons CC0. doi: CEUR-WS.org, ISSN 1613-0073

Pruinelli, L., Johnson, S. G., Fesenmaier, B., Winden, T. J., Coviak, C., & Delaney, C. W. (2020). An Applied Healthcare Data Science Roadmap for Nursing Leaders: A Workshop Development, Conceptualization, and Application. CIN - Computers Informatics Nursing, 38(10), 484-489. doi: 10.1097/CIN.0000000000000607


Pruinelli, L., Farag, A., Looman, W., McKechnie, A. C., Monsen, K. A., Van Gelderen, S., & Dunn-Lopez, K. (2020). The Symbiotic Collaboration Between Family Nursing and Data Science. Computers, informatics, nursing : CIN, 38(8), 375-380. doi: 10.1097/CIN.0000000000000675


Ngufor, C., Caraballo, P. J., O'Byrne, T. J., Chen, D., Shah, N. D., Pruinelli, L., . . . Simon, G. (2020). Development and Validation of a Risk Stratification Model Using Disease Severity Hierarchy for Mortality or Major Cardiovascular Event. JAMA network open, 3(7), e208270. doi: 10.1001/jamanetworkopen.2020.8270

Pruinelli, L., Stai, B., Ma, S., Pruett, T., & Simon, G. J. (2019). A likelihood-based convolution approach to estimate event occurrences in large longitudinal incomplete clinical data. 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019. doi: 10.1109/ICHI.2019.8904622

Pruinelli, L., Westra, B. L., Pruett, T., Monsen, K. A., Gross, C. R., Radosevich, D. R., . . . Simon, G. J. (2019). A Multi-Dimensional General Health Status Concept to Predict Liver Transplant Mortality. 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019. doi: 10.1109/ICHI.2019.8904801

Pruinelli, L., Ma, S., Westra, B. L., Johnson, S. G., Von O'Conner, S., & Speedie, S. M. (2018). Multiple Factors Drive Opioid Prescribing at the Time of Discharge. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018, 916-921.

Pruinelli, L., Westra, B. L., Yadav, P., Hoff, A., Steinbach, M., Kumar, V., . . . Simon, G. (2018). Delay Within the 3-Hour Surviving Sepsis Campaign Guideline on Mortality for Patients With Severe Sepsis and Septic Shock. Critical care medicine, 46(4), 500-505. doi: 10.1097/CCM.0000000000002949

Pruinelli, L., Simon, G. J., Monsen, K. A., Pruett, T. L., Gross, C. R., Radosevich, D. M., & Westra, B. L. (2018). A Holistic Clustering Methodology for Liver Transplantation Survival. Nursing Research, 67(4), 331--340. doi: 10.1097/NNR.0000000000000289

Pruinelli, L., Monsen, K. A., Gross, C. R., Radosevich, D. M., Simon, G. J., & Westra, B. L. (2017). Predictors of liver transplant patient survival: A critical review using a holistic framework. Progress in transplantation (Aliso Viejo, Calif.), 27(1), 98--106. doi: 10.1177/1526924816680099

Pruinelli L, Monsen K, Simon G, Westra B. (2016). Clustering the Whole-person Health Data to Predict Liver Transplant Survival. Stud Health Technol Inform, 225, 382-386. **

Lucena AdeF, Holsbach I, Pruinelli L, Cardoso A, Mello B. (2013). Brazilian validation of the nursing outcomes for acute pain. Int J Nurs Knowl. 24(1), 54-58. **

Pruinelli L,Kruse MHL. (2012). The media and organ donations: the production of donating subjects. Rev Gaucha de Enferm. 33(4), 86-93. **

Pruinelli L,Kruse MHL.(2011).Biopolitics and organs donation: strategies and tactics from Brazil’s media. Text and Context - Nurs. 20(4), 675-681. **

Pruinelli L, Fu H, Monsen KA, Westra BL. (2014). Comparison of consumer derived evidence with an Omaha System evidence-based practice guideline for community dwelling older adults. Stud Health Technol Inform. 201, 18-24. **

Lucena AdeF, Holsbach I, Pruinelli L, Cardoso A, Mello B. (2013). Brazilian validation of the nursing outcomes for acute pain. Int J Nurs Knowl. 24(1), 54-58. **

Pruinelli L,Kruse MHL. (2012). The media and organ donations: the production of donating subjects. Rev Gaucha de Enferm. 33(4), 86-93. **

Pruinelli L,Kruse MHL.(2011).Biopolitics and organs donation: strategies and tactics from Brazil’s media. Text and Context - Nurs. 20(4), 675-681. **

Topax M, Ronquilo C, Peltonen M, Pruinelli L et al. (2016). Advancing Nursing Informatics in the Next Decade: Recommendations from an International Survey. Stud Health Technol Inform, 225, 123-137. *

Peltonen L-M, Topax M, Ronquillo C, Pruinelli L, et al. (2016). Nursing Informatics Current and Future Research Priorities: Recommendations from an International Survey. Stud Health Technol Inform 2016, 225, 222-226. **

Westra BL, Pruinelli L, Delaney CW. (2015). Nursing Knowledge: 2015 Big Data Science. CIN: ANI Connection. 33(10), 427-431. *

Yadav P, Steinbach M, Pruinelli L, Westra BL, Delaney CW, Kumar V, Simon G. (2015). Forensic-Style Analysis with Survival Trajectories. IEEE International Conference on Data Mining (ICDM 2015), Atlantic City, NJ. **

Johnson SG, Byrne MD, Christie B, Delaney CW, LaFlamme A, Park JI, Pruinelli L, Sherman S, Speedie S, Westra BL. (2015). Modeling Flowsheet Data for Clinical Research. AMIA Jt Summits Transl Sci Proc. Mar(25), 77-81. **

Topaz M, Ronquillo C, Pruinelli L, Ramos SR, Murtola LM, Siirala E, Atique S, Hamann G, Badger MK. (2015). Central Trends in Nursing Informatics: Students’ Reflections from International Congress on Nursing Informatics 2014 (Taipei, Taiwan). Comput Inform Nurs. 33(3), 85-89. *

Park JI, Pruinelli L, Westra BL, Delaney CW. (2014). Applied Nursing Informatics Research - State-of-the-Art Methodologies using Electronic Health Record Data. Stud Health Technol Inform. 201, 395-400. **

Pruinelli L, Fu H, Monsen KA, Westra BL. (2014). Comparison of consumer derived evidence with an Omaha System evidence-based practice guideline for community dwelling older adults. Stud Health Technol Inform. 201, 18-24. **

Lucena AdeF, Holsbach I, Pruinelli L, Cardoso A, Mello B. (2013). Brazilian validation of the nursing outcomes for acute pain. Int J Nurs Knowl. 24(1), 54-58. **

Pruinelli L,Kruse MHL. (2012). The media and organ donations: the production of donating subjects. Rev Gaucha de Enferm. 33(4), 86-93. **

Pruinelli L,Kruse MHL.(2011).Biopolitics and organs donation: strategies and tactics from Brazil’s media. Text and Context - Nurs. 20(4), 675-681. **

Teaching

Courses


NURS 7051 - Data Science for Healthcare
NURS 7052 - Data Science for Healthcare Practicum
NURS 5611 - Database Principles for Healthcare
NURS 5115 - Interprofessional Healthcare Informatics
NURS 6501 - System Design and Analysis
NURS 7118 - Human Factors and Human-Computer Interaction In Health Informatics
NURS 3710 – Statistics for Clinical Practice and Research
NURS 3115 – Health Informatics and Information Technology