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.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Enabling Data-Driven Nursing Innovations: User-centered Development of a Nursing Data Module ; volume:9 ; number:1 ; year:2023 ; pages:339-342 ; extent:4
Current directions in biomedical engineering ; 9, Heft 1 (2023), 339-342 (gesamt 4)
- Urheber
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Warnecke, Maren
Holle, Daniela
Burmann, Anja
- DOI
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10.1515/cdbme-2023-1085
- URN
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urn:nbn:de:101:1-2023092214175878072171
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:59 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Warnecke, Maren
- Holle, Daniela
- Burmann, Anja
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