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实现 SNOMED CT 在护理实践中的应用:范围综述。

Towards implementing SNOMED CT in nursing practice: A scoping review.

机构信息

Adult and Gerontological Health Cooperative Unit, School of Nursing, University of Minnesota, 308 Harvard Street SE, Minneapolis, MN 55455, United States.

Department of Family, Community and Health System Science, College of Nursing, University of Florida, PO Box 100197, Gainesville, FL 32610, United States.

出版信息

Int J Med Inform. 2020 Feb;134:104035. doi: 10.1016/j.ijmedinf.2019.104035. Epub 2019 Nov 27.

Abstract

BACKGROUND

Currently, it is rare for nursing data to be available in data repositories due to the quality of nursing data collected in clinical practice. To improve the quality of nursing data, the American Nurses Association recommends the use of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for coding nursing problems, interventions, and observations in electronic health records.

OBJECTIVE

To determine "what is known about the use of SNOMED terminology (Pre-SNOMED CT and SNOMED CT) in nursing".

METHODS

We searched four databases and two search engines. We identified 29 articles for review. A modified version of System Development Life Cycle (SDLC), and Mapping Evaluation Assessment (MEA), created by the authors were used for quality assessment.

RESULTS

All 29 studies mapped standardized (n = 19) or local nursing terms (n = 10) to the SNOMED terminology. MEA scores ranged from 2-8 (range 0-11) with 25 receiving scores from 5-8. On the modified SDLC (range 0-5), all studies exhibited activities of stage 0 (pre-application integration), with two studies describing integration and preliminary testing of SNOMED CT coded nursing content in applications (stage 2).

CONCLUSION

Though efforts are underway to ensure adequate coverage of nursing in SNOMED CT, there were no studies indicating use in nursing practice. The authors offer recommendations for achieving the widespread collection of interoperable SNOMED CT coded nursing data in clinical applications to evaluate nursing's impact on patient outcomes. These include creating a clear professional vision and path to our data goals that builds on sound rationale and evidence, abundant stakeholder engagement, and sufficient resources.

摘要

背景

目前,由于临床实践中收集的护理数据质量问题,护理数据在数据存储库中很少见。为了提高护理数据的质量,美国护士协会建议在电子健康记录中使用系统命名法医学术语 (SNOMED CT) 对护理问题、干预措施和观察结果进行编码。

目的

确定“关于在护理中使用 SNOMED 术语(Pre-SNOMED CT 和 SNOMED CT)的知识”。

方法

我们搜索了四个数据库和两个搜索引擎。我们确定了 29 篇文章进行审查。作者创建了经过修改的系统开发生命周期 (SDLC) 和映射评估评估 (MEA) 用于质量评估。

结果

所有 29 项研究都将标准化术语 (n=19) 或本地护理术语 (n=10) 映射到 SNOMED 术语。MEA 评分范围为 2-8(范围 0-11),25 项评分 5-8 分。在修改后的 SDLC(范围 0-5)中,所有研究均显示处于 0 阶段(应用前集成),其中两项研究描述了在应用程序中集成和初步测试 SNOMED CT 编码护理内容(第 2 阶段)。

结论

尽管正在努力确保 SNOMED CT 充分涵盖护理内容,但没有研究表明其在护理实践中的使用。作者为实现临床应用中广泛收集互操作的 SNOMED CT 编码护理数据以评估护理对患者结果的影响提供了建议。这包括制定一个基于合理理由和证据、广泛的利益相关者参与和充足资源的明确的专业愿景和实现数据目标的途径。

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