AMIA2014 Workflow Paper (Wednesday) Trends in Publication of Nursing Informatics Research

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8:30 Wednesday

“We analyzed 741 journal articles on nursing informatics published in 7 biomedical/nursing informatics journals and 6 nursing journals from 2005 to 2013 to begin to understand publication trends in nursing informatics research and identify gaps. We assigned a research theme to each article using AMIA 2014 theme categories and normalized the citation counts using time from publication. Overall, nursing informatics research covered a broad spectrum of research topics in biomedical informatics and publication topics seem to be well aligned with the high priority research agenda identified by the nursing informatics community. The research themes with highest volume of publication were Clinical Workflow and Human Factors, Consumer Informatics and Personal Health Records, and Clinical Informatics, for which an increasing trend in publication was noted. Articles on Informatics Education and Workforce Development; Data Mining, NLP, Information Extraction; and Clinical Informatics showed steady and high volume of citations.

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The research theme most frequently appearing for the past 9 years was Clinical Workflow and Human Factors.

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It is noteworthy that Clinical Workflow and Human Factor is among the most frequently published and cited themes in nursing informatics research. This is not surprising considering the large amount of time that nurses spend working with clinical information system, especially EMRs(23). This research trend may also imply that nurses can make significant contributions to mitigating various EMR usability issues. In July of 2013, the Office of National Coordinator (ONC) hosted a meeting with stakeholders to discuss usability issues in EMRs. Representatives from a healthcare informatics professional group, an EMR certification agency, and the American Medical Association were invited and had a chance to provide testimonials. Common criticism was that designs and workflows of many EMRs largely focused on meeting the Meaningful Use (MU) requirements rather than usability(24–26)”

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