کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5567268 | 1403619 | 2016 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Big Data and Perioperative Nursing
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کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت
پرستاری و مشاغل بهداشتی
پرستاری
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چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: AORN Journal - Volume 104, Issue 4, October 2016, Pages 286-292
Journal: AORN Journal - Volume 104, Issue 4, October 2016, Pages 286-292
نویسندگان
Bonnie L. PhD, RN, FAAN, FACMI, Jessica J. PhD-C, RN, CRNA,