Giving “Voice” to our Patients/Health Consumers through the Power of Big Data Science

Bio: Sally Remus, RN PhD(c)

Sally is an accomplished healthcare executive with diversified experiences as a clinician, nurse informatician, educator and consultant. Currently, she is an informatics doctoral candidate at Western University’s Arthur Labatt Family School of Nursing, London ON and is pursuing a research project with a focus in big data science. Sally’s research will utilize data science methods to explore “under-utilized” nursing homecare EHR data to detect risk factors that predict ALS patient capacities to remain safely cared for at home, delaying or even avoiding institutionalization.

Brief description/purpose of presentation

Sally’s presentation will provide a primer on big data science in nursing and how it can accelerate evidence discovery to implementation of evidence informed practices from bedside to boardroom. Big data science in nursing may in part help position nurses and the profession to achieve its future vision, where nurses are perceived by patients and professionals alike as knowledge workers providing safe, sustainable quality care through clinically relevant, “real-time”, evidence-based practices (McBride 2005, Remus 2016, Remus & Donelle, 2019).