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
College of Nursing, University of Florida, Gainesville, Florida.
College of Nursing, University of Illinois at Chicago, Chicago, Illinois.
Int J Nurs Knowl. 2018 Jan;29(1):49-58. doi: 10.1111/2047-3095.12168. Epub 2017 Jan 16.
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.
批判性评估2014年美国护理学会（AAN）生成可互操作护理数据的行动呼吁计划。
医疗保健文献。
AAN的计划在短期内无法生成参与大数据科学计划所需的护理数据，因为逻辑观察标识符名称和代码以及医学系统命名法-临床术语在生成可互操作数据方面尚未成熟。存在经过充分测试的可行替代方案。
作者提出了对AAN计划进行修订的建议，以及短期内生成可互操作护理数据的循证替代方案。这些修订最终可在长期内实现AAN计划提出的术语目标。
