When nursing judgment meets AI: How to empower clinical teams for earlier action
Wednesday, December 10th, 2025 | 1:00 PM - 2:00 PM CT
Nurses are often the first to sense patient decline. In this webinar, experts in nursing and data share how clinical observations and documentation patterns helped drive an AI-based early warning tool – helping teams act up to 48 hours sooner than standard approaches.
Beyond the results of the groundbreaking CONCERN clinical trial, the discussion will explore what true nurse-led innovation looks like. Panelists will unpack how transparent, explainable AI tools can strengthen clinical judgment, reduce burden and help teams focus on meaningful care. This is a conversation about harnessing nursing expertise, not replacing it.
Top 3 learnings:
- How thoughtfully designed and implemented AI can help nurses keep patients safe
- What makes AI adoption successful in clinical workflows — transparency, trust and minimal disruption
- How nurses can guide ethical, equitable AI design that enhances teamwork and patient safety
Presenters:
Suzanne Bakken, RN, PhD, FAAN, FACMI, FIAHSI
Alumni Professor of Nursing and Professor of Biomedical Informatics
Executive Director, Center for Community-Engaged Health Informatics and Data Science,Columbia University, School of Nursing
Patricia C Dykes, PhD, MA, RN
Associate Professor of Medicine at Harvard Medical School
Program Director of Research in the Center for Patient Safety Research and Practice at Brigham and Women’s Hospital
Jacob Turmell, DNP, APRN, NP-C, ACNS-BC
Chief Clinical Officer, Philips
Moderator: