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  4. Enabling Data-Driven Nursing Innovations: User-centered Development of a Nursing Data Module
 
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2023
Journal Article
Title

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

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.
Author(s)
Warnecke, Maren
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Holle, Daniela
Burmann, Anja  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Journal
Current directions in biomedical engineering  
Open Access
DOI
10.1515/cdbme-2023-1085
Language
English
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Keyword(s)
  • care data set

  • core data set

  • cross-facility data set

  • risk detection

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