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A Shovel‐Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture
Author(s) -
Keenan Gail M.,
Lopez Karen Dunn,
Sousa Vanessa E. C.,
Stifter Janet,
Macieira Tamara G. R.,
Boyd Andrew D.,
Yao Yingwei,
Herdman T. Heather,
Moorhead Sue,
McDaniel Anna,
Wilkie Diana J.
Publication year - 2018
Publication title -
international journal of nursing knowledge
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.545
H-Index - 23
eISSN - 2047-3095
pISSN - 2047-3087
DOI - 10.1111/2047-3095.12168
Subject(s) - interoperability , terminology , identifier , plan (archaeology) , health care , computer science , term (time) , action plan , nursing , data science , medicine , world wide web , political science , management , philosophy , linguistics , physics , archaeology , quantum mechanics , law , economics , history , programming language
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.