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

Warnecke Maren, Holle Daniela,Burmann Anja

Current Directions in Biomedical Engineering(2023)

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摘要
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.
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关键词
risk detection,cross-facility data set,care data set,core data set
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