Big Data and Perioperative Nursing.
Big data are large volumes of digital data that can be collected from disparate sources and are challenging to analyze. These data are often described with the five "Vs": volume, velocity, variety, veracity, and value. Perioperative nurses contribute to big data through documentation in the electronic health record during routine surgical care, and these data have implications for clinical decision making, administrative decisions, quality improvement, and big data science. This article explores methods to improve the quality of perioperative nursing data and provides examples of how these data can be combined with broader nursing data for quality improvement. We also discuss a national action plan for nursing knowledge and big data science and how perioperative nurses can engage in collaborative actions to transform health care. Standardized perioperative nursing data has the potential to affect care far beyond the original patient.
Bonnie L
BL
Westra
Jessica J
JJ
Peterson
D055499:Catheter-Related Infections / Q000453:epidemiology; D000066491:Clinical Decision-Making; D003625:Data Collection / Q000379:methods* / Q000592:standards; D003695:Delivery of Health Care; D004282:Documentation; D057286:Electronic Health Records; D006801:Humans; D062209:Patient Handoff; D013527:Perioperative Nursing; D003668:Pressure Ulcer / Q000453:epidemiology; D058996:Quality Improvement; D014552:Urinary Tract Infections / Q000453:epidemiology; D020246:Venous Thrombosis
big data; nursing informatics; nursing knowledge; perioperative nursing; quality care