Academic-Practice Partnerships for AI Research and Development: International and Interdisciplinary Perspectives

Presentation Time: 08:30 AM - 11:30 AM

Abstract Keywords: Nursing Informatics, Artificial Intelligence, Workforce Development, Education and Training
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics

This collaborative workshop explores successful models of academic-practice partnerships (APPs) and interdisciplinary team science for AI research and effective translation into healthcare practice. The workshop provides international and interdisciplinary perspectives, emphasizing the engagement of clinicians and clinical scientists throughout the AI research and development lifecycle, from project conception and data acquisition to model development and implementation. Expert faculty will present diverse case studies demonstrating successful APPs, including: leveraging natural language processing and machine learning with EHR data to predict and prevent iatrogenic complications; harmonizing nurse-generated data for collaborative AI development; utilizing the Limburg Living Lab model for research in aging and long-term care; fostering nurse-engineer partnerships to develop machine learning models for predicting necrotizing enterocolitis in preterm infants; and empowering clinical scientists through targeted data acquisition and analytics training. Following these presentations, participants will engage in facilitated small group discussions to identify best practices, address challenges and opportunities in building effective APPs, and collaboratively develop recommendations for future directions. This workshop aims to empower participants with actionable strategies for fostering collaboration between academic researchers and clinical practitioners, ultimately accelerating the translation of AI innovations into improved patient and population outcomes. The target audience includes clinicians, educators, researchers, informaticians, data scientists, healthcare leaders, and policymakers interested in AI's transformative potential.

Speakers:
Keliy Fordham, BSN, RN
University of Florida

Ragnhildur Bjarnadottir, MPH, PhD, RN
University of Florida

Elizabeth Dunn, MSN, RN
University of Florida

Tamara Macieira, PhD, RN
University of Florida

Mattia Prosperi, PhD, FAMIA
University of Florida

Kim De Groot, PhD RN
Netherlands Institute for Health Services Research

Robert Lucero, PhD, MPH, RN, FAAN, FACMI
University of California, Los Angeles

Authors:
Ragnhildur Bjarnadottir, MPH, PhD, RN - University of Florida; Elizabeth Dunn, MSN, RN - University of Florida; Tamara Macieira, PhD, RN - University of Florida; Mattia Prosperi, PhD, FAMIA - University of Florida; Keliy Fordham, BSN, RN - University of Florida College of Nursing; Kim De Groot, PhD RN - Netherlands Institute for Health Services Research; Robert Lucero, PhD, MPH, RN, FAAN, FACMI - University of California, Los Angeles;

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