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:

Dr Bakken - Julia Finck

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 

Dr Dykes - Julia Finck

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

Jacob Turmell, DNP, APRN, NP-C, ACNS-BC

Chief Clinical Officer, Philips 

Moderator:

Julia_Strandberg

Julia Strandberg

Chief Business Leader, Connected Care, Philips