Advancing data science in nursing: Analytics in education and clinical practice

18^th International Conference on Nursing & Healthcare

December 05-07, 2016 Dallas, USA

Elizabeth Ritt

Benedictine University, USA

Posters & Accepted Abstracts: J Nurs Care

Abstract :

The nurse who is knowledgeable in the use of data science and analytics is equipped with the requisite skills in informatics to address and solve complex problems across the healthcare delivery system. The systematic use of analytics provides all members of the interprofessional team with the data and information necessary to drive decisions. Analytical data has the potential to improve workflow, enhance clinical decision making, increase productivity and promote optimal patient outcomes. The knowledge and use of analytics in nursing education and practice fosters clinical decision-making that is fact-based, insightful and innovative. The new expectations are that data will be collected, aggregated and analyzed across patient, clinical and financial systems with the specific purpose of providing better care for patient, families and populations. The challenge that lies ahead for all healthcare organizations is to fundamentally change the way in which they do business to a more sophisticated analytical electronic integrated delivery system. The availability of real-time reliable digital data that can be used to identify key trends and patterns, enhance fact-based decisionmaking, and in turn lead to better outcomes and cost reduction, is critical to the future of healthcare. Nurses have an opportunity to be at the forefront of using data science and analytical tools to advance evidence-based practice and foster the achievement of accountability measures. A keen understanding of the types of analytics, technological capabilities, and big data sets are foundational to the application of analytics in nursing education and practice.

Biography :

Email: eritt@ben.edu