Projects per year
Personal profile
Research interests
Applied clinical informatics (including big data and analytics) and transplantation.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External Positions
Affiliate Faculty, University of Minnesota
Sep 1 2017 → …
Fingerprint
The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 6 Finished
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Knowledge Discovery in Liver Transplant Health Disparity: A national pipeline for machine learning applications
Pruinelli, L. (Leader)
6/1/21 → 5/31/22
Project: Internal Grant
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Artificial Intelligence for Nursing: Ethical, Legal and Social Implications
Pruinelli, L. (Co-Principal Investigator)
2/1/19 → 1/31/20
Project: Grant
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Improving Population Outcomes Using Data Science: A Roadmap for Nurse Leaders
Pruinelli, L. (Leader)
1/31/18 → 5/31/22
Project: Internal Grant
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Improving Survival for Liver Transplant Recipients Using Big Data Strategies
Pruinelli, L. (Leader)
1/1/18 → 6/30/19
Project: Internal Grant
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SCH: EXP: Collaborative Research: Group-Specific Learning to Personalize Evidence-Based Medicine
Steinbach, M. (PI) & Pruinelli, L. (Co-Principal Investigator)
9/1/16 → 8/31/21
Project: Grant
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Optimizing pain management in breast cancer care: Utilizing ‘All of Us’ data and deep learning to identify patients at elevated risk for chronic pain
Park, J. I., Johnson, S. & Pruinelli, L., Jan 2025, In: Journal of Nursing Scholarship. 57, 1, p. 95-104 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
The Overlooked Dark Side of Generative AI in Nursing: An International Think Tank's Perspective
Topaz, M., Peltonen, L. M., Michalowski, M., Pruinelli, L., Ronquillo, C. E., Zhang, Z. & Babic, A., 2025, (Accepted/In press) In: Journal of Nursing Scholarship.Research output: Contribution to journal › Editorial › peer-review
Open Access -
Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review
Pruinelli, L., Balakrishnan, K., Ma, S., Li, Z., Wall, A., Lai, J. C., Schold, J. D., Pruett, T. & Simon, G., Dec 2025, In: BMC medical informatics and decision making. 25, 1, 98.Research output: Contribution to journal › Review article › peer-review
Open Access -
Harnessing Artificial Intelligence in Nursing-Insights From the Third International Workshop of Artificial Intelligence in Nursing (AINurse2024)
Pruinelli, L., Michalowski, M., Peltonen, L. M. & Topaz, M., Sep 26 2024, In: CIN - Computers Informatics Nursing. 42, 10, p. 694-695 2 p.Research output: Contribution to journal › Article › peer-review
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Machine learning for post-liver transplant survival: Bridging the gap for long-term outcomes through temporal variation features
Balakrishnan, K., Olson, S., Simon, G. & Pruinelli, L., Dec 2024, In: Computer Methods and Programs in Biomedicine. 257, 108442.Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Fellowships, Honors, and Prizes
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Fellow of the American Medical Informatics Association (FAMIA)
Pruinelli, L. (Recipient), Oct 1 2019
Prize: Fellowship awarded competitively
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MNRS 2021 Annual Research Conference Distinguished Abstract Award
Pruinelli, L. (Recipient), Jan 27 2021
Prize: Prize (including medals and awards)