Data visualization is a method to enhance interpretation of data by placing it in a visual context allowing for information trending that may be overlooked. It is placing data in a visual framework to increase understanding of its significance Data visualization synthesizes large sets of data providing an alternative view supporting predictive analytics. The use case shift to predicative analytics increases efficiency, real-time reporting for decision making and quality of care. Providing a visual environment often deepens the meaning and urgency for patient care and/or practice change. Images can replace a thousand words. Data visualization allows customizable reports for real-time information that impact the patient, provider and practice. Providers have the ability to track data points local to a patient or facility or globally to populations or disease. Nurse leaders benefit from the ability to visualize data and explore patterns in service delivery. Data visualization is pushing healthcare forward by increasing the ability for standardized data sharing. It enhances reporting through real-time processes and alerts thereby increasing safety, quality and decision-making. The right information to the right person at the right time.
This workshop will provide an overview of data visualization design principles, demonstrate exemplars in clinical practice as well as facilitate hands on activity to explore, filter, and visualize clinical data sets of high interest to nursing.
Learning Objective 1: The learner will understand the value of data visualization in patient care
Learning Objective 2: The learner will increase their knowledge of data visualization software and be able to import a clinical dataset, filter, and graphically visualize data.
Karen Monsen (Presenter)
University of Minnesota
Lyn Hardy (Presenter)
Ohio State University
Deborah Ariosto (Presenter)
Vanderbilt University Medical Center
RUMEI YANG (Presenter)
University of Utah
Tristan Fin (Presenter)
University of New Mexico Hospital