title: A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture.
abstract: OBJECTIVE
  To critically evaluate 2014 American Academy of Nursing (AAN) call-to-action plan for generating interoperable nursing data.
  
  
  METHODS
  Healthcare literature.
  
  
  RESULTS
  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.
authors.affiliation: College of Nursing, University of Florida, Gainesville, Florida.
authors.forename: Gail M
authors.initials: GM
authors.lastname: Keenan
authors.affiliation: College of Nursing, University of Illinois at Chicago, Chicago, Illinois.
authors.forename: Karen Dunn
authors.initials: KD
authors.lastname: Lopez
authors.affiliation: College of Nursing, University of Illinois at Chicago, Chicago, Illinois.
authors.forename: Vanessa E C
authors.initials: VEC
authors.lastname: Sousa
authors.affiliation: American Organization of Nurse Executives, American Hospital Association, Chicago, Illinois.
authors.forename: Janet
authors.initials: J
authors.lastname: Stifter
authors.affiliation: College of Nursing, University of Florida, Gainesville, Gainesville, Florida.
authors.forename: Tamara G R
authors.initials: TGR
authors.lastname: Macieira
authors.affiliation: College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois.
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Boyd
authors.affiliation: College of Nursing, University of Florida, Gainesville, Gainesville, Florida.
authors.forename: Yingwei
authors.initials: Y
authors.lastname: Yao
authors.affiliation: NANDA International and University of Wisconsin-Green Bay, Green Bay, Wisconsin.
authors.forename: T Heather
authors.initials: TH
authors.lastname: Herdman
authors.affiliation: Nursing Classification Center, College of Nursing, University of Iowa, Iowa City, Iowa.
authors.forename: Sue
authors.initials: S
authors.lastname: Moorhead
authors.affiliation: College of Nursing, University of Florida, Gainesville, Gainesville, Florida.
authors.forename: Anna
authors.initials: A
authors.lastname: McDaniel
authors.affiliation: College of Nursing, University of Florida, Gainesville, Gainesville, Florida.
authors.forename: Diana J
authors.initials: DJ
authors.lastname: Wilkie
mesh_terms: D000077558:Big Data; D003196:Computer Graphics; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D009736:Nursing Process; D010934:Planning Techniques; D012956:Societies, Nursing; D012984:Software; D000072917:Standardized Nursing Terminology; D039061:Systematized Nomenclature of Medicine; D014481:United States; D018875:Vocabulary, Controlled; D057188:Workflow
keywords: Big data science; patient care planning; standardized nursing terminology