Gail M Keenan1, Karen Dunn Lopez2, Vanessa E C Sousa2, Janet Stifter3, Tamara G R Macieira4, Andrew D Boyd5, Yingwei Yao4, T Heather Herdman6, Sue Moorhead7, Anna McDaniel4, Diana J Wilkie4. 1. College of Nursing, University of Florida, Gainesville, Florida. 2. College of Nursing, University of Illinois at Chicago, Chicago, Illinois. 3. American Organization of Nurse Executives, American Hospital Association, Chicago, Illinois. 4. College of Nursing, University of Florida, Gainesville, Gainesville, Florida. 5. College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois. 6. NANDA International and University of Wisconsin-Green Bay, Green Bay, Wisconsin. 7. Nursing Classification Center, College of Nursing, University of Iowa, Iowa City, Iowa.
Abstract
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.
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.
Authors: Sevinc Tastan; Graciele C F Linch; Gail M Keenan; Janet Stifter; Dawn McKinney; Linda Fahey; Karen Dunn Lopez; Yingwei Yao; Diana J Wilkie Journal: Int J Nurs Stud Date: 2013-12-18 Impact factor: 5.837
Authors: G M Keenan; Y Yao; K Dunn Lopez; V E C Sousa; J Stifter; T G R Macieira; A D Boyd; T H Herdman; S Moorhead; A McDaniel; D J Wilkie Journal: Int J Nurs Knowl Date: 2017-08-30 Impact factor: 1.222