2023 Helene Fuld Health Trust Innovations in Simulation Summit
Columbia University School of Nursing presents the 2023 Helene Fuld Health Trust Innovations in Simulation Summit: Artificial Intelligence in Simulation, which will explore the convergence of AI and simulation and its applications for teaching and learning. Join leading experts as they share insights on the use of AI in simulation. Speakers include Maxim Topaz, PhD, MA, RN and Laura Gonzalez, PhD, APRN.
Laura Gonzalez Ph.D. APRN, CNE, CHSE-A, ANEF, FAAN
Immediate Past President of the International Association for Clinical Simulation and Learning and VP of Healthcare Innovation at Sentinel U
Kenrick Cato, PhD, RN, CPHIMS, FAAN
Professor of Informatics at the Children’s Hospital of Philadelphia
Maxim Topaz, PhD, MA, RN, FAAN
Elizabeth Standish Gill Associate Professor of Nursing Columbia University School of Nursing
Assistant Professor Department of Biomedical Informatics Columbia University
Scot Pappada PhD.
Associate Professor and Director of Research
Department of Anesthesiology and Department of Bioengineering
Prestige Faculty, Department of Electrical Engineering and Computer Science
University of Toledo College of Medicine and Life Sciences
The Summit will also feature a Pitch-A-Thon, during which teams or individuals will present their innovative concepts regarding the integration of AI in health care education. Distinguished judges hailing from both industry and Columbia University will evaluate these concepts and designate a victor. The chosen project will be granted seed funding.
We invite you to submit your Pitch-A-Thon abstract HERE. Abstracts must focus on the use of AI to enhance education for health professions. If your abstract is selected, you will be invited to pitch your idea to the expert panel at the Summit on October 27.
All abstracts are due by September 22, 2023.
Pitch-A-Thon Abstract Guidelines
-Submissions can include pre-existing pilot work, or can be completely novel ideas. Products that are already on the market are not permitted.
-Eligibility: Teams must include faculty or students from at least 2 different disciplines such as nursing, physician, dentistry, engineering, and/or industry.
-Definitions of AI include any artificial intelligence modality including, but not limited to, computer vision, natural language processing, machine learning/deep learning algorithms, large language models, generative AI, virtual avatar, text to video, robotics, and precision medicine.
For questions, please contact Kellie Bryant at firstname.lastname@example.org.