Overview
Dr. Pruinelli's lab is dedicated to advancing nursing science through the innovative use of applied data science and artificial intelligence to solve real-wrold problems. By developing cutting-edge machine learning models, her team uncovers insights from large-scale health data, particularly in chronic disease management and specific sub-populations who share similar phenotypes. To guide her approach, she developed and adops the Healthcare Data Science Roadmap, where she takes a life-cycle strategy to generate solutions, starting from problem generation to deployment, and ultimately, evaluating if the solutionw as able to address the original problem.
Under this project, Dr. Pruinelli is committed to enhancing the role of AI in nursing, ensuring that data-driven approaches empower nurses to improve patient care, optimize health outcomes, and lead advancements in healthcare technology that can lead to further help nurses on their day-by-day tasks, driven by data.
Under this project, Dr. Pruinelli collaborates with several stakeholders nationally and internationally to build educational tools and guide the future of nursing at the intersection of technology adoption, education, and innovation.
Lee, M. A., Vyas, P., D’Agostino, F., Wieben, A., Coviak, C., Mullen-Fortino, M., Park, S., Sileo, M., Nogueira de Souza, E., Brown, S., Role, J., Reger, A., & Pruinelli, L. (2024). Empowering Nurses Through Data Literacy and Data Science Literacy: Insights From a State-of-the-Art Literature Review. ANS. Advances in Nursing Science. https://doi.org/10.1097/ANS.0000000000000546
Lee, M., Vyas, P., D’Agostino, F., Wieben, A., Coviak, C., Mullen-Fortino, M., Park, S., Sileo, M., Brown, S., De Souza, E. N., Pruinelli, L., & Role, J. (2024). Data Literacy and Data Science Literacy for Nurses: State of the Art Literature Review. Studies in Health Technology and Informatics, 315, 195–199. https://doi.org/10.3233/SHTI240133
Wieben, A. M., Walden, R. L., Alreshidi, B. G., Brown, S. F., Cato, K., Coviak, C. P., Cruz, C., D’Agostino, F., Douthit, B. J., Forbes, T. H. 3rd, Gao, G., Johnson, S. G., Lee, M. A., Mullen-Fortino, M., Park, J. I., Park, S., Pruinelli, L., Reger, A., Role, J., … Jeffery, A. D. (2023). Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Applied Clinical Informatics, 14(3), 585–593. https://doi.org/10.1055/a-2088-2893
Pruinelli, L., Freeman, R., & Delaney, C. W. (2023). 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. https://doi.org/10.1097/CIN.0000000000001082
Douthit, B. J., Walden, R. L., Cato, K., Coviak, C. P., Cruz, C., D’Agostino, F., Forbes, T., Gao, G., Kapetanovic, T. A., Lee, M. A., Pruinelli, L., Schultz, M. A., Wieben, A., & Jeffery, A. D. (2022). Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature. Applied Clinical Informatics, 13(1), 161–179. https://doi.org/10.1055/s-0041-1742218
Pruinelli, L., Freeman, R., & Delaney, C. W. (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. https://doi.org/10.1097/CIN.0000000000000984
Pruinelli, L., Freeman, R., & Delaney, C. W. (2023). 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. https://doi.org/10.1097/CIN.0000000000001082
Pruinelli, L., Freeman, R., & Delaney, C. W. (2021). 2021 Nursing Knowledge Big Data Science Conference. Computers, Informatics, Nursing: CIN, 39(8), 400–401. https://doi.org/10.1097/CIN.0000000000000824
Pruinelli, L. (2021). Nursing and Data: Powering Nursing Leaders for Big Data Science. Revista brasileira de enfermagem, 74(4), e740401. https://doi.org/10.1590/0034-7167.2021740401
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. Computers, Informatics, Nursing: CIN, 38(10), 484–489. https://doi.org/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. https://doi.org/10.1097/CIN.0000000000000675
Westra, B. L., Sylvia, M., Weinfurter, E. F., Pruinelli, L., Park, J. I., Dodd, D., Keenan, G. M., Senk, P., Richesson, R. L., Baukner, V., Cruz, C., Gao, G., Whittenburg, L., & Delaney, C. W. (2017). Big data science: A literature review of nursing research exemplars. Nursing Outlook, 65(5), 549–561. https://doi.org/10.1016/j.outlook.2016.11.021
Delaney, C. W., Pruinelli, L., Alexander, S., & Westra, B. L. (2016). 2016 Nursing Knowledge Big Data Science Initiative. Computers, Informatics, Nursing : CIN, 34(9), 384–386. https://doi.org/10.1097/CIN.0000000000000288
Pruinelli, L., Delaney, C. W., Garciannie, A., Caspers, B., & Westra, B. L. (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
Westra, B. L., Pruinelli, L., & Delaney, C. W. (2015). Nursing Knowledge: 2015 Big Data Science. Computers, Informatics, Nursing : CIN, 33(10), 427–431. https://doi.org/10.1097/CIN.0000000000000191