From Data to Decisions: AI in Nursing Education, Practice, and Research
Explore the transformative impact of Artificial Intelligence across healthcare – from education to clinical practice and research. Join us for a forward-thinking event that bridges innovation, data, and patient-centered care.
February 1, 2027
The Bryant Conference Center
240 Paul W Bryant Dr, Tuscaloosa, AL 35487
Registration is available at the link below. Nursing CEU registration will be onsite.
From Data to Decisions: AI in Nursing Education, Practice, and Research
Coming soon
Robin Austin, PhD, DNP, DC, RN, NI-BC, FAMIA, FAAN
Dr. Robin Austin is an Associate Professor at the University of Minnesota, School of Nursing and Graduate faculty in the Earl E. Bakken Center for Spirituality and Healing. Dr. Austin’s research capitalizes on her clinical background as a chiropractor and a nurse and integrates it with informatics methods to examine patients’ biopsychosocial, whole-person needs. Through her research and expertise in consumer and clinical informatics, she seeks to empower individuals to better care for themselves, using technology to advance person-centered care and achieve better health and wellbeing.
Dr. Austin has over 20 years of clinical healthcare experience, specializing in pain management, including complementary and integrative health (CIH) approaches. Her research capitalizes on her clinical background as a chiropractor and a nurse and integrates it with informatics methods to examine patients’ biopsychosocial, whole-person needs. Dr. Austin has been the PI or Co-PI of studies examining an application which she co-developed with Dr. Karen Monsen and stakeholder involvement. MyStrengths+MyHealth enables self-report of whole-person health including individuals’ strengths and health challenges.
Dana Tschannen Ph.D., RN
Dr. Tschannen’s unique expertise in evidence-based practice (EBP) and quality improvement (QI) methodologies has advanced the science of quality and safety in healthcare through positively influencing understanding and adoption of evidence-based strategies among the interprofessional team. She ardently embraces the need for frontline nurse engagement in EBP and QI, noting the pivotal role nurses play in providing and improving patient care. Dr. Tschannen has conducted several studies aimed at improving quality through knowledge acquisition (e.g. interprofessional team training, nurse QI competency, pressure injury risk identification) and EBP adoption (e.g. pressure injury prevention, early mobility, falls). In her current appointment, Dr. Tschannen works collaboratively with Nursing Administration at Michigan Medicine. She has worked closely with nurses at various levels in the promotion of evidence-based practice and improvement in processes related to point of care delivery. She is committed to advancing the role of systems in health care; linking evidence-based practice, quality improvement, skilled health care professionals and robust processes to deliver world-class care to patients in the 21st century.
Dr. Shahram Rahimi, Head of the Department of Computer Science and Chief Research Computing Officer for the High-Performance Computing and Data Center
Dr. Sergei Gleyzer, Associate Professor of Physics and Astronomy and Chief Science Officer for the High Performance Computing and Data Center
Dr. Subash Neupane, Capstone College of Nursing Assistant Professor
We invite healthcare professionals, researchers, educators, students, data scientists, and innovators to submit abstracts for poster presentations highlighting the transformative role of Artificial Intelligence (AI) and other innovative technologies in healthcare. Submission guidelines are available at https://alabama.box.com/s/vftdk4yo7vnhgf1cize6528l6yu1jn3p. Abstracts are due by November 20, 2026.
