Lisiane Pruinelli

Lisiane Pruinelli, PhD, MS, RN, FAMIA

Associate Professor

Department: Family, Community and Health Systems Science
Business Phone: (352) 273-6341
Business Email:

About Lisiane Pruinelli

Dr. Pruinelli is an Associate Professor with Tenure at the College of Nursing with joint appointment with the Department of Surgery, College of Medicine. With more than 10 years of clinical experience in both multi-transplant organ coordination and information systems development and implementation, Dr. Pruinelli is part of a new generation of health informaticians focused on applied clinical informatics. Her expertise is on applying machine learning methods to longitudinal heterogeneous clinical data to investigate the trajectory of complex disease conditions, and its influence on health outcomes. Her work aims to identify the problems and targeted interventions that are ameanable of change toward better patient outcomes.

Additional Positions:
Adjunct Associate Professor
2023 – Current · School of Nursing, University of Minnesota
Joint Associate Professor
2023 – Current · University of Florida, College of Medicine
Affiliate Faculty
2017 – Current · Institute for Health Informatics, University of Minnesota
Related Links:

Teaching Profile

Courses Taught
NUR4827 Lead and Inspire 4: Leadership and Innovation in Nursing Practice
NGR7891 Health Policy and Finance in Advanced Nursing Practice
NUR3169 Inquiry and Evidence in Professional Nursing Practice
Teaching Philosophy
Dr. Pruinelli believes that my informatics expertise coupled with her enthusiasm about being a nurse is contagious and that she is able to encourage students to be engaged in an active learning experience. Her teaching philosophy and skills were developed during a long-term employment in a teaching hospital where research and teaching combined every-day practice and formal education. To her, teaching is tantamount to engaging students and challenging them to achieve personal growth through three main goals: 1) to be passionate about the nursing profession and the integration of informatics in their learning, 2) to be dedicated to the patient’s (individual) health and collaborate with families and communities, and 3) to advocate for patient safety and privacy. For students looking for advising/mentorship, please email Dr. Pruinelli for her advising statement.

Research Profile

Dr. Pruinelli’s program of research leverages innovative applied clinical informatics tools and data science methods to investigate the trajectories of complex disease conditions, such as sepsis, solid organs transplantation, and pain management, to improve the patient care experience and increase the quality of health care delivery. She developed foundations for new personalized strategies for disease treatment and management over time, including addressing national initiatives for holistic models of care. Her scholarship reflects a strategic transition from an acute care nurse to a researcher, leveraging informatics knowledge based on consistent formal education, previous clinical care experiences, and data science to build new knowledge. To guide her program of research, Dr. Pruinelli adopt the Applied Data Science Framework for Healthcare Leaders, a roadmap she developed, where shows the life-cycle process to build personalized models of care suitable of clinical applications, from data extraction, mining, analysis, and deployment. Similarly, with the heavily adoption of machine learning across her projects and the adoption of such models to lay the foundation for intelligent systems, she has been deeply involved in discussions around responsible Artificial Intelligence (AI). For more than 10 years she have mainly centered on mining and using EHR data for solid organ transplantation research, and recently linked to national registries. Besides survivorship, she has been investigating other causal factors that has an impact on the overall health status and wellbeing of liver and kidney transplants patients, such as the health conditions amenable of change with targeted interventions. This work is a life-long project, due to the complexity of these patients and the multiples factors contributing to successful outcomes.

Prospective students may want to check Dr. Pruinelli’s Advising Philosophy.

Open Researcher and Contributor ID (ORCID)


Areas of Interest
  • Longitudinal Data Analysis
  • Applied Clinical Informatics
  • Artificial Intelligence
  • Big data analytics
  • Liver Transplantation
  • Machine Learning
  • Organ transplantation
  • Renal Transplantation
  • data science
  • machine learning for predictive analytics


Technological Challenges and Solutions in Emergency Remote Teaching for Nursing: An International Cross-Sectional Survey
Healthcare Informatics Research. 30(1):49-59 [DOI] 10.4258/hir.2024.30.1.49. [PMID] 38359849.
The ChatGPT effect and transforming nursing education with generative AI: Discussion paper.
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The ChatGPT Effect: Nursing Education and Generative Artificial Intelligence.
The Journal of nursing education. 1-4 [DOI] 10.3928/01484834-20240126-01. [PMID] 38302101.
Towards Automated Evaluation of Patient Centered Care–Assessing the Potential of Electronic Health Records
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2023 Nursing Knowledge Big Data Science Conference: Big Data and Nurse Executives Fostering the Value of Nurses.
Computers, informatics, nursing : CIN. 41(11):851-852 [DOI] 10.1097/CIN.0000000000001082. [PMID] 37931301.
Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature.
Applied clinical informatics. 14(3):585-593 [DOI] 10.1055/a-2088-2893. [PMID] 37150179.
Psychosocial problems and high amount of opioid administration are associated with opioid dependence and abuse after first exposure for chronic pain patients
Addictive Behaviors. 141 [DOI] 10.1016/j.addbeh.2023.107657.
Representation of Environmental Concepts Associated with Health Impacts in Computer Standardized Clinical Terminologies.
Yearbook of medical informatics. 32(1):36-47 [DOI] 10.1055/s-0043-1768746. [PMID] 38147848.
Validación de la escala de autoevaluación de competencias de enfermeria en informática en español
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2022 Nursing Knowledge: Big Data Science Conference: Setting the Stage for the Next 5 Years’ Achievements.
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A Predictive Model for Developing Long Term Opioid Use After Neurosurgery and Orthopedic Surgery.
AANA journal. 90(2):114-120 [PMID] 35343892.
Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence
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Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature.
Applied clinical informatics. 13(1):161-179 [DOI] 10.1055/s-0041-1742218. [PMID] 35139564.
Nursing Diagnosis for Potential Organ Donors: Accuracy Study.
Clinical nursing research. 31(1):60-68 [DOI] 10.1177/10547738211019435. [PMID] 34180268.
Patient Heterogeneity and the J-Curve Relationship Between Time-to-Antibiotics and the Outcomes of Patients Admitted With Bacterial Infection.
Critical care medicine. 50(5):799-809 [DOI] 10.1097/CCM.0000000000005429. [PMID] 34974496.
2021 Nursing Knowledge Big Data Science Conference.
Computers, informatics, nursing : CIN. 39(8):400-401 [DOI] 10.1097/CIN.0000000000000824. [PMID] 34397473.
A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study
Journal of the American Medical Informatics Association. 28(9):1885-1891 [DOI] 10.1093/jamia/ocab087. [PMID] 34151985.
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative
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Description of the Process to Validate the Mexican Nurse Informatics Competency Self-Assessment Scale.
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Developing Information Model of Central Line-Associated Bloodstream Infection (CLABSI) Prevention.
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Development of a nursing diagnosis educational software program
Revista Gaúcha de Enfermagem. 42 [DOI] 10.1590/1983-1447.2021.20190283.
Diagnósticos de enfermagem prevalentes de pacientes em cuidados paliativos: uma mineração de dados
Research, Society and Development. 10(17) [DOI] 10.33448/rsd-v10i17.24725.
Disparity in Access to Care Impacts Liver Transplant Mortality.
Studies in health technology and informatics. 284:209-214 [DOI] 10.3233/SHTI210706. [PMID] 34920510.
Emergency Remote Learning in Nursing Education During the COVID-19 Pandemic.
Studies in health technology and informatics. 281:942-946 [DOI] 10.3233/SHTI210317. [PMID] 34042812.
Evaluating Systemized Nomenclature of Medicine Clinical Terms Coverage of Complementary and Integrative Health Therapy Approaches Used Within Integrative Nursing, Health, and Medicine.
Computers, informatics, nursing : CIN. 39(12):1000-1006 [DOI] 10.1097/CIN.0000000000000764. [PMID] 34074871.
Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systems
Preventive Medicine Reports. 24 [DOI] 10.1016/j.pmedr.2021.101546. [PMID] 34976617.
Information Model on Pain Management: An Analysis of Big Data.
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Nursing and Data: Powering Nursing Leaders for Big Data Science
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Nursing Informatics Research Trends: Findings from an International Survey.
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Pain Information Model and Its Potential for Predictive Analytics: Applicability of a Big Data Science Framework.
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Pain Management in Clinical Practice Research Using Electronic Health Records
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Toward an Augmented Nursing-Artificial Intelligence Future.
Computers, informatics, nursing : CIN. 39(6):296-297 [DOI] 10.1097/CIN.0000000000000784. [PMID] 34081661.
Use of Geographic Information Systems to Explore Associations between Neighborhood Attributes and Mental Health Outcomes in Adults: A Systematic Review
International Journal of Environmental Research and Public Health. 18(16) [DOI] 10.3390/ijerph18168597. [PMID] 34444345.
Will Artificial Intelligence Replace Nurses? A Debate.
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An Applied Healthcare Data Science Roadmap for Nursing Leaders: A Workshop Development, Conceptualization, and Application.
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Development and Validation of a Risk Stratification Model Using Disease Severity Hierarchy for Mortality or Major Cardiovascular Event.
JAMA network open. 3(7) [DOI] 10.1001/jamanetworkopen.2020.8270. [PMID] 32678448.
The Symbiotic Collaboration Between Family Nursing and Data Science.
Computers, informatics, nursing : CIN. 38(8):375-380 [DOI] 10.1097/CIN.0000000000000675. [PMID] 32769554.
A Framework for Visualizing Data Quality for Predictive Models and Clinical Quality Measures.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2019:630-638 [PMID] 31259018.
Emerging Professionals’ Observations of Opportunities and Challenges in Nursing Informatics.
Nursing leadership (Toronto, Ont.). 32(2):8-18 [DOI] 10.12927/cjnl.2019.25965. [PMID] 31613210.
Incidence of Falls in a General Hospital in Southern Brazil.
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Machine Learned Mapping of Local EHR Flowsheet Data to Standard Information Models using Topic Model Filtering.
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Nursing outcomes for pain assessment of patients undergoing palliative care
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Risk prediction and segmentation models used in the United States for assessing risk in whole populations: a critical literature review with implications for nurses’ role in population health management.
JAMIA open. 2(1):205-214 [DOI] 10.1093/jamiaopen/ooy053. [PMID] 31984354.
A Holistic Clustering Methodology for Liver Transplantation Survival.
Nursing research. 67(4):331-340 [DOI] 10.1097/NNR.0000000000000289. [PMID] 29877986.
Building Capacity in Student and Emerging Nursing Informatics Professionals Through Participation in an International Community of Practice.
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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. [PMID] 29298189.
Emerging Professional’s View of the Landscape: Nursing Informatics Curriculum, Competencies, and Career Opportunities.
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Multiple Factors Drive Opioid Prescribing at the Time of Discharge.
AMIA … Annual Symposium proceedings. AMIA Symposium. 2018:916-921 [PMID] 30815134.
Quality of Electronic Nursing Records: The Impact of Educational Interventions During a Hospital Accreditation Process.
Computers, informatics, nursing : CIN. 36(3):127-132 [DOI] 10.1097/CIN.0000000000000390. [PMID] 28961603.
Shared Passion at the Nexus of Nursing Informatics, Systems, Policy, and Research: Midwest Nursing Research Society Advances the State of the Science.
Computers, informatics, nursing : CIN. 36(1):5-7 [DOI] 10.1097/CIN.0000000000000412. [PMID] 29309336.
Technologies to Combat Aedes Mosquitoes: A Model Based on Smart City.
Studies in health technology and informatics. 250:129-133 [PMID] 29857404.
Validation and Refinement of a Pain Information Model from EHR Flowsheet Data.
Applied clinical informatics. 9(1):185-198 [DOI] 10.1055/s-0038-1636508. [PMID] 29539649.
Big Data and Nursing: Implications for the Future.
Studies in health technology and informatics. 232:165-171 [PMID] 28106594.
Big data science: A literature review of nursing research exemplars.
Nursing outlook. 65(5):549-561 [DOI] 10.1016/j.outlook.2016.11.021. [PMID] 28057335.
Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics.
Journal of the American Medical Informatics Association : JAMIA. 24(e1):e185-e190 [DOI] 10.1093/jamia/ocw103. [PMID] 27497798.
Competency Recommendations for Advancing Nursing Informatics in the Next Decade: International Survey Results.
Studies in health technology and informatics. 232:119-129 [PMID] 28106590.
Modeling Flowsheet Data to Support Secondary Use.
Computers, informatics, nursing : CIN. 35(9):452-458 [DOI] 10.1097/CIN.0000000000000350. [PMID] 28346243.
Predictors of Liver Transplant Patient Survival.
Progress in transplantation (Aliso Viejo, Calif.). 27(1):98-106 [DOI] 10.1177/1526924816680099. [PMID] 27888279.
2016 Nursing Knowledge Big Data Science Initiative.
Computers, informatics, nursing : CIN. 34(9):384-6 [DOI] 10.1097/CIN.0000000000000288. [PMID] 27606577.
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2016:194-202 [PMID] 27570669.
Advancing Nursing Informatics in the Next Decade: Recommendations from an International Survey.
Studies in health technology and informatics. 225:123-7 [PMID] 27332175.
Clustering the Whole-Person Health Data to Predict Liver Transplant Survival.
Studies in health technology and informatics. 225:382-6 [PMID] 27332227.
Current Trends in Nursing Informatics: Results of an International Survey.
Studies in health technology and informatics. 225:938-9 [PMID] 27332419.
Developing Standardized Physiologic Assessments.
Studies in health technology and informatics. 225:1084-5 [PMID] 27332495.
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 [DOI] 10.1891/1541-6577.30.3.229. [PMID] 28304268.
Expanding Interprofessional EHR Data in i2b2.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2016:260-8 [PMID] 27570680.
Nurse Informaticians Report Low Satisfaction and Multi-level Concerns with Electronic Health Records: Results from an International Survey.
AMIA … Annual Symposium proceedings. AMIA Symposium. 2016:2016-2025 [PMID] 28269961.
Nursing Informatics Competencies for Emerging Professionals: International Leaders Panel.
Studies in health technology and informatics. 225:774-6 [PMID] 27332337.
Nursing Informatics Research Priorities for the Future: Recommendations from an International Survey.
Studies in health technology and informatics. 225:222-6 [PMID] 27332195.
Nursing Management Minimum Data Set: Cost-Effective Tool To Demonstrate the Value of Nurse Staffing in the Big Data Science Era.
Nursing economic$. 34(2):66-71, 89 [PMID] 27265947.
Central trends in nursing informatics: students’ reflections from International Congress on Nursing Informatics 2014 (Taipei, Taiwan).
Computers, informatics, nursing : CIN. 33(3):85-9 [DOI] 10.1097/CIN.0000000000000139. [PMID] 25793554.
Modeling Flowsheet Data for Clinical Research.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2015:77-81 [PMID] 26306244.
Nursing Knowledge: 2015 Big Data Science.
Computers, informatics, nursing : CIN. 33(10):427-31 [DOI] 10.1097/CIN.0000000000000191. [PMID] 26468968.
Applied nursing informatics research – state-of-the-art methodologies using electronic health record data.
Studies in health technology and informatics. 201:395-400 [PMID] 24943572.
Comparison of consumer derived evidence with an omaha system evidence-based practice guideline for community dwelling older adults.
Studies in health technology and informatics. 201:18-24 [PMID] 24943520.
Partnering with caregivers.
Clinics in geriatric medicine. 30(3):493-515 [DOI] 10.1016/j.cger.2014.04.003. [PMID] 25037292.
Brazilian validation of the nursing outcomes for acute pain.
International journal of nursing knowledge. 24(1):54-8 [DOI] 10.1111/j.2047-3095.2012.01230.x. [PMID] 23413936.
[The media and organ donations: the production of donating subjects].
Revista gaucha de enfermagem. 33(4):86-93 [PMID] 23596921.


2016 · School of Nursing, University of Minnesota
2008 · School of Nursing (Philosophy), Federal University of Rio Grande do Son, Brazil
Teaching Certificate
2002 · School of Nursing, Federal University of Rio Grande do Sul, Brazil
2000 · School of Nursing, Federal University of Rio Grande do Sul, Brazil

Contact Details

(352) 273-6341
Business Street:
1225 Center Drive, Office HPNP #3202
College of Nursing