Unlocking the Power of Nurse-Generated Data through Clinical Research Consortia

2025 Annual Symposium On Demand

Presentation Time: 08:00 AM - 09:15 AM

Abstract Keywords: Data Sharing, Nursing Informatics, Artificial Intelligence, Governance, Information Extraction
Primary Track: Foundations
Programmatic Theme: Clinical Research Informatics

Artificial intelligence (AI) promises to transform healthcare, but its success hinges on large, high-quality datasets. Clinical Research Consortia (CRC) offer rich data sources, yet nurse-generated data—critical for comprehensive patient understanding—remains underrepresented. This panel explores the vital role of CRCs in AI development, focusing on integrating nurse-generated data, specifically flowsheets, care plans, and narrative notes. We will discuss strategies, challenges, and benefits of incorporating these data types to enhance AI models and improve patient outcomes. The panel aims to inspire collaborative efforts to maximize the value of nursing data in CRC-driven AI research.

Moderator:
Elizabeth Umberfield, PhD, RN, NI-BC
Office of Data Science and Sharing (ODSS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NIH/NICHD)

Speakers:
Tamara Macieira, PhD, RN
University of Florida

Mollie Cummins, PhD, RN, FAAN, FACMI
University of Utah

Robin Austin, PhD, DNP, DC, RN, NI-BC, FAMIA, FAAN
University of Minnesota, School of Nursing

Ragnhildur Bjarnadottir, MPH, PhD, RN
University of Florida

Authors:
Tamara Macieira, PhD, RN - University of Florida; Mollie Cummins, PhD, RN, FAAN, FACMI - University of Utah; Elizabeth Umberfield, PhD, RN, NI-BC - Office of Data Science and Sharing (ODSS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NIH/NICHD); Robin Austin, PhD, DNP, DC, RN, NI-BC, FAMIA, FAAN - University of Minnesota, School of Nursing; Ragnhildur Bjarnadottir, MPH, PhD, RN - University of Florida;

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