Big Data Implications for Nursing Administrators
Keywords:
Big data, Nurse, Nurse AdministratorsAbstract
Big data refers to large databases of information that are challenging to analyze, store, and process using traditional methods. It encompasses the steps of identifying and translating substantial data. The three primary components of big data are volume, variety, and velocity. Additionally, the three major categories of big data currently in use are structured data, unstructured data, and semi-structured data.
Big data is currently extensively employed across many fields and has no limitations. Given its pivotal role in the healthcare system, nurses are among the groups most likely to access and utilize big data, particularly nurse administrators at the third level. This includes professional nurses serving as first-line managers at the unit level, leveraging big data for nursing sensitivity quality indicators, and patient outcomes. Big data is also utilized for planning and influencing policy changes by top managers and middle managers in nursing policies. This study aims to elucidate the use of big data for nursing administrators. Recommendations for nursing administrators should prioritize accuracy and the quality of information before its application to their work.
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