CE: Nursing Orientation to Data Science and Machine Learning

• Published in: The American journal of nursing Vol. 121; no. 4; p. 32
• Main Authors: O'Brien, Roxanne L, O'Brien, Matt W
• Format: Journal Article
• Language: English
• Published: United States 01.04.2021
• Subjects: Adult; Curriculum; Data Science - education; Education, Nursing, Continuing; Female; Humans; Inservice Training - methods; Machine Learning; Male; Middle Aged; Nursing Staff, Hospital - education
• ISSN: 1538-7488
• DOI: 10.1097/01.NAJ.0000742064.59610.28

Nurses collect, use, and produce data every day in countless ways, such as when assessing and treating patients, performing administrative functions, and engaging in strategic planning in their organizations and communities. These data are aggregated into large data sets in health care systems, public and private databases, and academic research settings. In recent years the machines used in this work (computer hardware) have become increasingly able to analyze large data sets, or "big data," at high speed. Data scientists use machine learning tools to aid in analyzing this big data, such as data amassed from large numbers of electronic health records. In health care, predictions for patient outcomes has become a focus of research using machine learning. It's important for nurses and nurse administrators to understand how machine learning has changed our ways of thinking about data and turning data into knowledge that can improve patient care. This article provides an orientation to machine learning and data science, offers an understanding of current challenges and opportunities, and describes the nursing implications for nurses in various roles.