Proceedings of the 2025 Nursing Knowledge Big Data Science Conference held in Minneapolis, June 4-6, 2025. Includes a conference overview and workgroup reports. See link below for accessible online version.
The 13th annual Nursing Knowledge: Big Data Science (NKBDS) Conference welcomed leaders in nursing, informatics, data science, and digital health to share insights, innovations, and strategies that are transforming the future of nursing practice, education, research, and policy. Held June 4–6, 2025, at the McNamara Alumni Center in Minneapolis, the conference emphasized the importance of interoperable systems, equity-driven data strategies, and cross-sector collaborations. Attendees engaged with national experts on the evolving function of nursing data across clinical, academic, and public health domains.
Pre-Conference, June 4
Track 1: The Nursing Process on FHIR: Enhancing Interoperability and Patient Care
Susan Matney and Laura Heermann Langford
Track 2: Harnessing ‘All of Us’ for Nursing Research: Opportunities, Challenges, and Hands-on Exploration
Steve Johnson and Lisiane Pruinelli
Track 3: Building Impactful Collaboratories
Connie White Delaney, Lisiane Pruinelli, Rebecca Freeman, Kelaine Haas
Track 4: Transforming Documentation H2T Toolkit
David Boyd and Bonnie Adrian
Main Conference, June 5-6
The CONCERN Early Warning System: Leveraging Nurse-Driven Data for Early Prediction and Scalable Implementation in Patient Care
Patricia C. Dykes
Data, Nursing, and Standards: A Multifaceted Perspective for Technology-Driven Care (Panel)
Jane M. Carrington, Allen Flynn, Kelly Aldrich, Susan Matney
Gravity Project: Data to Address Social Needs and Advance Maternal Health Equity
Asha Immanuelle
A Comprehensive Approach to Address Social Needs Beyond Critical Care
Lorena de Leon and Bryce Parker
From Clinical to Social Data: How to Leverage Analytics to Address Social Determinants of Health (Panel)
Lorena de Leon, Bryce Parker, and Asha Immanuelle