将淋巴水肿护理数据自动映射到护理最小数据集。

Automated Mapping of LEP Nursing Data to Nursing Minimum Data Sets.

作者信息

Ranegger Renate, Hackl Werner O, Eberl Inge, Baumberger Dieter, Bürgin Reto, Ammenwerth Elske

机构信息

Department of Research and Development, LEP AG, St. Gallen, Switzerland.

Institute of Medical Informatics, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.

出版信息

Stud Health Technol Inform. 2020 Jun 16;270:38-42. doi: 10.3233/SHTI200118.

DOI:10.3233/SHTI200118

PMID:32570342

Abstract

Nursing Minimum Data Sets (NMDS) intend to systematically describe nursing care. Until now NMDS have been populated with nursing data by manual data ascertainment which is inefficient. The objective of this work was to evaluate an automated mapping pipeline for transforming nursing data into an NMDS. We used LEP Nursing 3 data as source data and the Austrian and German NMDS as target formats. Based on a human expert mapping between LEP and NMDS, an automated data mapping algorithm was developed and implemented in an automatic mapping pipeline. The results show that most LEP nursing interventions can be matched to the NMDS-AT and G-NMDS and that a fully automated mapping process from LEP Nursing 3 data to NMDS-AT performs effectively and very efficiently. The shown approach can also be used to map different nursing classifications and to automatically transform point-of-care nursing data into nursing minimum data sets.

摘要

护理最小数据集（NMDS）旨在系统地描述护理服务。到目前为止，NMDS一直通过人工数据确定来填充护理数据，效率低下。这项工作的目的是评估一个用于将护理数据转换为NMDS的自动化映射管道。我们使用LEP护理3数据作为源数据，奥地利和德国的NMDS作为目标格式。基于LEP和NMDS之间的人工专家映射，开发了一种自动数据映射算法并在自动映射管道中实现。结果表明，大多数LEP护理干预措施可以与NMDS-AT和G-NMDS相匹配，并且从LEP护理3数据到NMDS-AT的全自动映射过程有效且高效。所展示的方法还可用于映射不同的护理分类，并将护理点护理数据自动转换为护理最小数据集。