A. Data Sparks: Lightning Ideas at the Speed of Informatics
Nursing Informatics (NI) is evolving rapidly with digital technology and data-driven approaches for clinical care and well-being, facilitated by policy drivers and emphasis on interoperability. Advances in Artificial Intelligence (AI) have led to new tools to ease the documentation burden, faster data insights and increasing consumer access to health information. All these are expanding the informatics roles beyond traditional clinical settings. This session’s objective is to share informatics-focused projects led by UMN/NI faculty and students (PhD, DNP) across clinical and population health. Student projects completed with an informatics focus and are data-driven were solicited and organized into this break-out session. A total of 6 projects will be presented with faculty PI (n=1), PhD student projects (n=3) and DNP student projects (n=2). These will be organized as 6 “lightning talks” for 10 minutes each for a total of 1 hour followed by a structured discussion session for 30 minutes. The session will be moderated by a NI faculty, Dr. Sripriya Rajamani. Studies to be shared have data sparks (data-driven) and span the informatics spectrum. This break-out session fits dual purposes of providing an opportunity to showcase various student projects and also to highlight the spectrum of studies with data sparks through lightning talks.
Robin Austin, Faculty PI, will present Tech Needs for Perimenopause/Menopause Women
Chanhee Kim, PhD student, will present Synthesizing Pioneering Informatics Projects on Public Health Data Modernization
Malin Britt Lalich, PhD student, will present Leveraging Nursing Documentation in Machine Learning Models for Hospital-Acquired Pressure Injury Prediction: A MIMIC-IV Analysis
Meijia Song, PhD student, will present Artificial Intelligence in Menopausal Health: A Scoping Review
Sophia King, DNP student, will present Leadership and Value in Healthcare: A UMN/UnitedHealth Group Collaboration
Sarah Bediako, DNP student, will present Informatics and Staff Insights on Remote Patient Monitoring in a Low-resource Setting