![]() ![]() 5 The integration of nursing data into large datasets requires the frequent and rapid input of new valid information from EHRs. The use of standardized nursing terminologies (SNTs) to document nursing care enables the easy retrieval and analysis of nursing data while also representing the nurse’s clinical reasoning. The publications reviewed provide a foundation for identifying future paths of inquiry involving nursing and other data retrievable from EHRs. In this article, we report our systematic review of studies that utilized nursing EHRs data to answer a variety of research questions from describing nursing care for a specific population to predicting patient outcomes. Thus, the documentation entered by nurses into EHRs, for the first time ever, is a potential source for discovering the impact of nursing care on patient outcomes and using the knowledge to improve care. The growing use of electronic health records (EHRs) to document care now offers the opportunity to use the data captured in practice for discovering knowledge to transform health care. To date, however, it has been difficult to effectively evaluate the impact of nursing on patient outcomes. Nurses are responsible 24 hours each day for continuously identifying care issues, implementing and adjusting care prescribed by themselves and other providers to achieve desired patient outcomes. Among the 2.8 million registered nurses currently working in the United States (U.S.), 61% work in hospitals 1 whereas 19% of 297,100 2 pharmacists and 41.9% of 854,698 physicians in practice work in hospitals. The main frontline providers of care are nurses who also represent the largest category of health workers in the hospital setting. The review underscored the value of developing a deep understanding of the meaning and potential impact of nursing variables before merging with other sources of data. ![]() Analytical techniques varied as well and included descriptive statistics, correlations, data mining, and predictive modeling. Aims of the studies ranged from describing most popular nursing diagnoses, outcomes, and interventions on a unit to predicting outcomes using multi-site data. A two-phase systematic process resulted in inclusion and review of 35 publications. ![]() The main purpose of this systematic review was to identify studies using SNTs data, their aims and analytical methods. ![]() Before merging SNTs data with other sources, it is important to understand how such data are being used and analyzed to support nursing practice. Nursing care documentation in electronic health records (EHRs) with standardized nursing terminologies (SNTs) can facilitate nursing’s participation in big data science that involves combining and analyzing multiple sources of data. ![]()
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January 2023
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