A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture.

A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture.
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DOI:
10.1111/2047-3095.12168
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发表时间:
2018-01
影响因子:
1.4
通讯作者:
Wilkie DJ
Wilkie DJ
中科院分区:
医学4区
文献类型:
--
作者:
Keenan GM;Lopez KD;Sousa VEC;Stifter J;Macieira TGR;Boyd AD;Yao Y;Herdman TH;Moorhead S;McDaniel A;Wilkie DJ

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批判性地评估2014年美国护理学会(AAN)呼吁行动计划,以生成可互操作的护理数据。医疗保健文学。AAN的计划不会在短期内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和系统化医学术语-临床术语生成可互操作数据的时机还不成熟。存在经过充分测试的可行替代方案。作者提出了修订AAN计划的建议,并提出了在短期内生成可互操作的护理数据的循证替代方案。从长远来看,这些修订最终会导致AAN计划提出的术语目标。
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.
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