A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture
2018
PURPOSE
To critically evaluate 2014 American Academy of Nursing (AAN) call-to-action plan for generating interoperable nursing data.
DATA SOURCES
Healthcare literature.
DATA SYNTHESIS
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.
CONCLUSIONS
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.
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