Lisiane Pruinelli

Lisiane Pruinelli, PhD, MS, RN, FAMIA

Associate Professor

Department: Family, Community and Health Systems Science
Business Phone: (352) 273-6341
Business Email: lisianepruinelli@ufl.edu

About Lisiane Pruinelli

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 nursing 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 toward better patient outcomes.

Additional Positions:
Adjunct Associate Professor
2023 – Current · School of Nursing, University of Minnesota
Affiliate Faculty
2017 – Current · Institute for Health Informatics, University of Minnesota

Teaching Profile

Courses Taught
2023
NUR4827 Lead and Inspire 4: Leadership and Innovation in 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 nursing informatics based on consistent formal education, previous clinical care experiences, and nursing science to build new knowledge. To guide her program of research, Dr. Pruinelli adopt the Applied Data Science Framework for Nurse Leaders, a roadmap she developed, where shows the life-cycle process to build personalized models of care suitable of clinical applications. 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 using data for solid organ transplantation research. Besides survivorship, she has been investigating other factors that has 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.

Open Researcher and Contributor ID (ORCID)

0000-0002-1046-6037

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

Publications

2022
2022 Nursing Knowledge: Big Data Science Conference: Setting the Stage for the Next 5 Years’ Achievements.
Computers, informatics, nursing : CIN. 40(10):666-669 [DOI] 10.1097/CIN.0000000000000984. [PMID] 36206147.
2022
A Predictive Model for Developing Long Term Opioid Use After Neurosurgery and Orthopedic Surgery.
AANA journal. 90(2):114-120 [PMID] 35343892.
2022
Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence
International Journal of Nursing Studies. 127 [DOI] 10.1016/j.ijnurstu.2021.104153.
2022
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.
2022
Nursing Diagnosis for Potential Organ Donors: Accuracy Study.
Clinical nursing research. 31(1):60-68 [DOI] 10.1177/10547738211019435. [PMID] 34180268.
2022
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
2021 Nursing Knowledge Big Data Science Conference.
Computers, informatics, nursing : CIN. 39(8):400-401 [DOI] 10.1097/CIN.0000000000000824. [PMID] 34397473.
2021
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.
2021
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative
Journal of Advanced Nursing. 77(9):3707-3717 [DOI] 10.1111/jan.14855. [PMID] 34003504.
2021
Description of the Process to Validate the Mexican Nurse Informatics Competency Self-Assessment Scale.
Studies in health technology and informatics. 284:171-172 [DOI] 10.3233/SHTI210693. [PMID] 34920498.
2021
Developing Information Model of Central Line-Associated Bloodstream Infection (CLABSI) Prevention.
Studies in health technology and informatics. 284:408-413 [DOI] 10.3233/SHTI210760. [PMID] 34920560.
2021
Development of a nursing diagnosis educational software program
Revista Gaúcha de Enfermagem. 42 [DOI] 10.1590/1983-1447.2021.20190283.
2021
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.
2021
Disparity in Access to Care Impacts Liver Transplant Mortality.
Studies in health technology and informatics. 284:209-214 [DOI] 10.3233/SHTI210706. [PMID] 34920510.
2021
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.
2021
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.
2021
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.
2021
Information Model on Pain Management: An Analysis of Big Data.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing. 53(3):270-277 [DOI] 10.1111/jnu.12638. [PMID] 33638602.
2021
Nursing and Data: Powering Nursing Leaders for Big Data Science
Revista Brasileira de Enfermagem. 74(4) [DOI] 10.1590/0034-7167.2021740401.
2021
Nursing Informatics Research Trends: Findings from an International Survey.
Studies in health technology and informatics. 284:344-349 [DOI] 10.3233/SHTI210741. [PMID] 34920543.
2021
Pain Information Model and Its Potential for Predictive Analytics: Applicability of a Big Data Science Framework.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing. 53(3):315-322 [DOI] 10.1111/jnu.12648. [PMID] 33735521.
2021
Pain Management in Clinical Practice Research Using Electronic Health Records
Pain Management Nursing. 22(4):446-454 [DOI] 10.1016/j.pmn.2021.01.016.
2021
Toward an Augmented Nursing-Artificial Intelligence Future.
Computers, informatics, nursing : CIN. 39(6):296-297 [DOI] 10.1097/CIN.0000000000000784. [PMID] 34081661.
2021
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.
2021
Will Artificial Intelligence Replace Nurses? A Debate.
Studies in health technology and informatics. 284:341-343 [DOI] 10.3233/SHTI210740. [PMID] 34920542.
2020
An Applied Healthcare Data Science Roadmap for Nursing Leaders: A Workshop Development, Conceptualization, and Application.
Computers, informatics, nursing : CIN. 38(10):484-489 [DOI] 10.1097/CIN.0000000000000607. [PMID] 33045153.
2020
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.
2020
The Symbiotic Collaboration Between Family Nursing and Data Science.
Computers, informatics, nursing : CIN. 38(8):375-380 [DOI] 10.1097/CIN.0000000000000675. [PMID] 32769554.
2019
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.
2019
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.
2019
Incidence of Falls in a General Hospital in Southern Brazil.
Studies in health technology and informatics. 264:1741-1742 [DOI] 10.3233/SHTI190625. [PMID] 31438321.
2019
Machine Learned Mapping of Local EHR Flowsheet Data to Standard Information Models using Topic Model Filtering.
AMIA … Annual Symposium proceedings. AMIA Symposium. 2019:504-513 [PMID] 32308844.
2019
Nursing outcomes for pain assessment of patients undergoing palliative care
Revista Brasileira de Enfermagem. 72(1):64-72 [DOI] 10.1590/0034-7167-2018-0307.
2019
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.
2018
A Holistic Clustering Methodology for Liver Transplantation Survival.
Nursing research. 67(4):331-340 [DOI] 10.1097/NNR.0000000000000289. [PMID] 29877986.
2018
Building Capacity in Student and Emerging Nursing Informatics Professionals Through Participation in an International Community of Practice.
Studies in health technology and informatics. 250 [PMID] 29857388.
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. [PMID] 29298189.
2018
Emerging Professional’s View of the Landscape: Nursing Informatics Curriculum, Competencies, and Career Opportunities.
Studies in health technology and informatics. 250:60-61 [PMID] 29857372.
2018
Multiple Factors Drive Opioid Prescribing at the Time of Discharge.
AMIA … Annual Symposium proceedings. AMIA Symposium. 2018:916-921 [PMID] 30815134.
2018
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.
2018
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.
2018
Technologies to Combat Aedes Mosquitoes: A Model Based on Smart City.
Studies in health technology and informatics. 250:129-133 [PMID] 29857404.
2018
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.
2017
Big Data and Nursing: Implications for the Future.
Studies in health technology and informatics. 232:165-171 [PMID] 28106594.
2017
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.
2017
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.
2017
Competency Recommendations for Advancing Nursing Informatics in the Next Decade: International Survey Results.
Studies in health technology and informatics. 232:119-129 [PMID] 28106590.
2017
Modeling Flowsheet Data to Support Secondary Use.
Computers, informatics, nursing : CIN. 35(9):452-458 [DOI] 10.1097/CIN.0000000000000350. [PMID] 28346243.
2017
Predictors of Liver Transplant Patient Survival.
Progress in transplantation (Aliso Viejo, Calif.). 27(1):98-106 [DOI] 10.1177/1526924816680099. [PMID] 27888279.
2016
2016 Nursing Knowledge Big Data Science Initiative.
Computers, informatics, nursing : CIN. 34(9):384-6 [DOI] 10.1097/CIN.0000000000000288. [PMID] 27606577.
2016
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.
2016
Advancing Nursing Informatics in the Next Decade: Recommendations from an International Survey.
Studies in health technology and informatics. 225:123-7 [PMID] 27332175.
2016
Clustering the Whole-Person Health Data to Predict Liver Transplant Survival.
Studies in health technology and informatics. 225:382-6 [PMID] 27332227.
2016
Current Trends in Nursing Informatics: Results of an International Survey.
Studies in health technology and informatics. 225:938-9 [PMID] 27332419.
2016
Developing Standardized Physiologic Assessments.
Studies in health technology and informatics. 225:1084-5 [PMID] 27332495.
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 [DOI] 10.1891/1541-6577.30.3.229. [PMID] 28304268.
2016
Expanding Interprofessional EHR Data in i2b2.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2016:260-8 [PMID] 27570680.
2016
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.
2016
Nursing Informatics Competencies for Emerging Professionals: International Leaders Panel.
Studies in health technology and informatics. 225:774-6 [PMID] 27332337.
2016
Nursing Informatics Research Priorities for the Future: Recommendations from an International Survey.
Studies in health technology and informatics. 225:222-6 [PMID] 27332195.
2016
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.
2015
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.
2015
Modeling Flowsheet Data for Clinical Research.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2015:77-81 [PMID] 26306244.
2015
Nursing Knowledge: 2015 Big Data Science.
Computers, informatics, nursing : CIN. 33(10):427-31 [DOI] 10.1097/CIN.0000000000000191. [PMID] 26468968.
2014
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.
2014
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.
2014
Partnering with caregivers.
Clinics in geriatric medicine. 30(3):493-515 [DOI] 10.1016/j.cger.2014.04.003. [PMID] 25037292.
2013
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.
2012
[The media and organ donations: the production of donating subjects].
Revista gaucha de enfermagem. 33(4):86-93 [PMID] 23596921.

Education

PhD
2016 · School of Nursing, University of Minnesota
MSc
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
BSN
2000 · School of Nursing, Federal University of Rio Grande do Sul, Brazil

Contact Details

Phones:
Business:
(352) 273-6341
Emails:
Addresses:
Business Street:
1225 Center Drive
College of Nursing
GAINESVILLE FL 32611