- Data analytics is a promising strategy to improve both the decision-making of nursing management and supporting nursing research, often constrained by the lack of standardized data sets. The HL7© Fast Healthcare Interoperability Resources (FHIR) standard offers a structured approach to addressing this issue, yet accessible software solutions for nursing-related FHIR data analysis are limited. This paper introduces an open-design framework to facilitate data-driven innovations in nursing research and practice, based on current developments in the German healthcare sector, such as the development of nursing-related FHIR specifications and the telematics infrastructure for secure data exchange. We present software implementations developed within this work for secure data exchange (Kommunikation im Medizinwesen Care) and the evaluation and visualization of nursing-related FHIR resources (FHIR QR Vis and FHIR Nursing Dashboard). The feasibility of this approach was validated through twoData analytics is a promising strategy to improve both the decision-making of nursing management and supporting nursing research, often constrained by the lack of standardized data sets. The HL7© Fast Healthcare Interoperability Resources (FHIR) standard offers a structured approach to addressing this issue, yet accessible software solutions for nursing-related FHIR data analysis are limited. This paper introduces an open-design framework to facilitate data-driven innovations in nursing research and practice, based on current developments in the German healthcare sector, such as the development of nursing-related FHIR specifications and the telematics infrastructure for secure data exchange. We present software implementations developed within this work for secure data exchange (Kommunikation im Medizinwesen Care) and the evaluation and visualization of nursing-related FHIR resources (FHIR QR Vis and FHIR Nursing Dashboard). The feasibility of this approach was validated through two case studies at a German nursing home and a university hospital, demonstrating its potential to enhance data-driven decision-making and workflow optimization in nursing.…
Metadaten| Author: | Steffen NetzbandGND, Johann Frei, Florian Weber, Yevgeniia Ignatenko, Milena GriegerORCiDGND, Florian Gottschalk, Florian AuerORCiDGND, Dominik MüllerORCiDGND, Jens O. BrunnerORCiDGND, Frank KramerORCiDGND |
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| URN: | urn:nbn:de:bvb:384-opus4-1242004 |
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| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/124200 |
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| ISBN: | 9781643686004OPAC |
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| ISSN: | 0926-9630OPAC |
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| ISSN: | 1879-8365OPAC |
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| Parent Title (English): | Global healthcare transformation in the era of artificial intelligence and informatics |
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| Publisher: | IOS Press |
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| Place of publication: | Amsterdam |
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| Editor: | John Mantas, Arie Hasman, Parisis Gallos, Emmanouil Zoulias, Konstantinos Karitis |
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| Type: | Conference Proceeding |
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| Language: | English |
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| Year of first Publication: | 2025 |
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| Publishing Institution: | Universität Augsburg |
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| Release Date: | 2025/08/01 |
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| First Page: | 278 |
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| Last Page: | 282 |
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| Series: | Studies in Health Technology and Informatics ; 328 |
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| DOI: | https://doi.org/10.3233/shti250719 |
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| Institutes: | Wirtschaftswissenschaftliche Fakultät |
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| Fakultät für Angewandte Informatik |
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| Fakultät für Angewandte Informatik / Institut für Informatik |
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| Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre |
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| Medizinische Fakultät |
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| Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre / Lehrstuhl für Health Care Operations / Health Information Management |
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| Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für IT-Infrastrukturen für die Translationale Medizinische Forschung |
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| Medizinische Fakultät / Universitätsklinikum |
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| Medizinische Fakultät / Lehrstuhl für Datenmanagement und Clinical Decision Support |
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| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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| Licence (German): |  CC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell (mit Print on Demand) |
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