Lisiane Pruinelli, PhD, RN
Dr. Pruinelli is an Associate Professor in the College of Nursing with a joint appointment with the College of Medicine, University of Florida, Gainesville, FL. At the UF, she is part of the UFHealth AI – a multi-college network of investigators harnessing AI to benefit science and health in exciting new ways. She is a Fellow of the American Medical Informatics Association. With more than 10 years of clinical experience in both multi-transplant organ coordination and information systems development and implementation, she is part of a new generation of nursing informaticians focused on applied clinical informatics. Her expertise is on applying innovative nursing informatics tools and cutting-edge data science methods to investigate the trajectory of complex disease conditions suitable for clinical implementations. Her work aims to use data to identify the problems and targeted interventions for better patient outcomes.
She serves as a member of the JAMIA editorial Board, co-chair of the Nursing Knowledge Big Data Science Initiative, co-chair for the Data Science and Clinical Analytics workgroup, and an advisor board member for the International Medical Informatics Association – Student and Emerging Professional interest group. Previously, she served as the co-chair for the Midwest Nursing Research Society Nursing Informatics workgroup. She is the co-editor of the 4-books series Nursing and Informatics for the 21st Century - Embracing a Digital World 3rd Edition. She has delivered several keynotes, talks, and lectures on AI and Data Science across the world and has published in several journals in the field.
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.
Contact Info:
Email: [email protected]
Phone: 352-273-6341
Office: HPNP 3202, 1225 Center Drive, Gainesville, FL 32611
Personal Webpage: https://nursing.ufl.edu/profile/pruinelli-lisiane/
Research Interest
- Longitudinal Data Analysis
- Applied Clinical Informatics
- Artificial Intelligence
- Big data analytics
- Machine Learning
- Data Science
- Machine Learning for Predictive Analytics
- Organ transplantation
- Renal Transplantation
- Liver Transplantation
- Pain Management
Publications
Please visit her webpage for updated publications: Lisiane Pruinelli webpage
Statement of Advising Philosophy and Expectations for Prospective Students
Education
Associate Professor, Family, Community and Health System Science
Assistant Professor, Population Health and Systems Cooperative
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
Research
Research Summary/Interests
Statement of Advising Philosophy and Expectations for PhD Students
Research Funding Grants
04/2016-08/2016 - Funding: MNRS Joseph and Jean Buckwalter Grant - Title: Knowledge Discovery for Liver Transplant Survival
Publications
Pruinelli L, Delaney CW, Garcia A, Caspers B, Westra B. (2016). Nursing Management Data Set (NMMDS): Cost Effective Tool to Demonstrate the Value of Nursing Staffing in the Big Data Science Era. Nursing Economic$, 34(2), 66-71. *Pruinelli L, Lucena AdeF, Monsen KA. (2016). Empirical Evaluation of International Health System Data Interoperability: Mapping the Wanda Horta Theory to the Omaha System Ontology. Research and Theory for Nursing Practice, 30(3), 229-241. **
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. **
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. *
Garcia A,Caspers B,Westra B,Pruinelli L,Delaney C. (2015). Sharable and Comparable Data for Nursing Management. Nurs Adm Q. 39(4), 297-303. *
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 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