Enabling Data-Driven Nursing Innovations: User-centered Development of a Nursing Data Module

Q4 Engineering
Maren Warnecke, Daniela Holle, Anja Burmann
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引用次数: 0

Abstract

Abstract The documentation landscape for nursing care data in Germany is predominantly heterogeneous and unstructured. Therefore, insightful methods such as Artificial Intelligence (AI) are difficult to implement. We propose a stepwiseapproach that identifies relevant information from nursing theory and practice and maps it to a standardized nursing core data set to enable data-based improvement of nursing care. This can be used for various use-cases in care, such as risk detection and prevention in diverse care contexts. Many care processes can benefit of a cross-facility and standardized repository and associated applications. We propose an approach that enables the use of AI while leveraging consensus and evidenced-based expert knowledge from nursing science.
实现数据驱动的护理创新:以用户为中心的护理数据模块开发
摘要:德国护理数据的文献景观主要是异构和非结构化的。因此,像人工智能(AI)这样有洞察力的方法很难实现。我们提出了一种循序渐进的方法,从护理理论和实践中识别相关信息,并将其映射到标准化的护理核心数据集,以实现基于数据的护理改进。这可用于护理中的各种用例,例如在不同的护理环境中进行风险检测和预防。许多护理过程都可以从跨设施和标准化的存储库以及相关的应用程序中受益。我们提出了一种方法,可以在利用共识和基于证据的护理科学专家知识的同时使用人工智能。
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来源期刊
Current Directions in Biomedical Engineering
Current Directions in Biomedical Engineering Engineering-Biomedical Engineering
CiteScore
0.90
自引率
0.00%
发文量
239
审稿时长
14 weeks
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