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A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture
Journal article   Peer reviewed

A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture

Gail M Keenan, Karen Dunn Lopez, Vanessa E C Sousa, Janet Stifter, Tamara G R Macieira, Andrew D Boyd, Yingwei Yao, T Heather Herdman, Sue Moorhead, Anna McDaniel, …
International journal of nursing knowledge, Vol.29(1), pp.49-58
01/2018
DOI: 10.1111/2047-3095.12168
PMCID: PMC8080953
PMID: 28093877
url
https://www.ncbi.nlm.nih.gov/pmc/articles/8080953View
Open Access

Abstract

To critically evaluate 2014 American Academy of Nursing (AAN) call-to-action plan for generating interoperable nursing data. Healthcare literature. AAN's plan will not generate the nursing data needed to participate in big data science initiatives in the short term because Logical Observation Identifiers Names and Codes and Systematized Nomenclature of Medicine - Clinical Terms are not yet ripe for generating interoperable data. Well-tested viable alternatives exist. Authors present recommendations for revisions to AAN's plan and an evidence-based alternative to generating interoperable nursing data in the near term. These revisions can ultimately lead to the proposed terminology goals of the AAN's plan in the long term.
Big Data Computer Graphics Software United States Electronic Health Records - statistics & numerical data Planning Techniques Societies, Nursing Nursing Process Vocabulary, Controlled Systematized Nomenclature of Medicine Workflow Standardized Nursing Terminology

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