Other Titles
International Nurse Researcher Hall of Fame Recipient Presentation
Other Titles
Special Session/Plenary Session
Abstract
Human-centered AI offers a powerful opportunity to advance nursing practice and improve patient outcomes. The CONCERN Early Warning Score (EWS) is a nurse-driven AI-based predictive model that uses patterns of nursing surveillance for early prediction of deterioration outcomes. In a multi-site randomized controlled trial, use of CONCERN EWS was associated with a 35.6% reduction in mortality risk, 7.5% reduction in sepsis risk, shorter length of stay, more timely escalation, and cost savings.
Notes
References:
Rossetti, S. C., Dykes, P. C., Knaplund, C., Cho, S., Withall, J., Lowenthal, G., Albers, D., Lee, R. Y., Jia, H., Bakken, S., Kang, M.-J., Chang, F. Y., Zhou, L., Bates, D. W., Daramola, T., Liu, F., Schwartz-Dillard, J., Tran, M., Bokhari, S. M. A., Thate, J., & Cato, K. D. (2025). Real-time surveillance system for patient deterioration: A pragmatic cluster-randomized controlled trial. Nature Medicine. https://doi.org/10.1038/s41591-024-02933-0. Published online: April 2, 2025. PMID: 40175738. PMC12818231
Lee, R.Y., Cato, K.D., Dykes, P.C., Lowenthal, G., Cho, S., Jia, H., Daramola, T., Tuteja, S., Rossetti, S.C., Earlier ICU Transfer after CONCERN early warning system score escalation reduced sepsis-related mortality: results from a multi-site pragmatic cluster randomized controlled trial. AMIA 2025 Annual Symposium. Atlanta.
Sigma Membership
Alpha Zeta
Lead Author Affiliation
Columbia University, New York, New York, USA
Type
Presentation
Format Type
Text-based Document
Study Design/Type
Randomized Controlled Trial
Research Approach
Quantitative Research
Keywords:
Clinical Decision Support Systems, Artificial Intelligence, Decision Making in Clinical Medicine, Electronic Health Records, Nursing Informatics
Recommended Citation
Rossetti, Sarah Collins, "Nurse-Driven, Human-Centered AI: The CONCERN Early Warning System" (2026). International Nursing Research Congress (INRC). 275.
https://www.sigmarepository.org/inrc/2026/presentations_2026/275
Conference Name
37th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Toronto, Ontario, Canada
Conference Year
2026
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record. All permission requests should be directed accordingly and not to the Sigma Repository. All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
Invited Presentation
Acquisition
Proxy-submission
Date of Issue
2026-09-17
Nurse-Driven, Human-Centered AI: The CONCERN Early Warning System
Toronto, Ontario, Canada
Human-centered AI offers a powerful opportunity to advance nursing practice and improve patient outcomes. The CONCERN Early Warning Score (EWS) is a nurse-driven AI-based predictive model that uses patterns of nursing surveillance for early prediction of deterioration outcomes. In a multi-site randomized controlled trial, use of CONCERN EWS was associated with a 35.6% reduction in mortality risk, 7.5% reduction in sepsis risk, shorter length of stay, more timely escalation, and cost savings.