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Autor: Sophie Berretta

Improving Documentation Quality and Creating Time for Core Activities

Improving Documentation Quality and Creating Time for Core Activities

Success factors for implementing AI-based documentation systems in nursing care
Sophie Berretta ORCID Icon, Elisabeth Liedmann ORCID Icon, Paul-Fiete Kramer ORCID Icon, Anja Gerlmaier, Christopher Schmidt
Demographic change is accompanied by both a growing demand for care and a shortage of qualified nursing staff. Consequently, AI-based technologies are increasingly becoming a focus of care-related innovations. Their aim is to reduce workload pressure, save time, and enhance the attractiveness of the nursing profession. Using the example of AI-supported documentation systems for admission interviews, this article examines to what extent such systems can contribute to improvements in work processes and care quality, focusing on the perspectives of nursing professionals and nursing experts. The results indicate potential for workload relief, enhanced documentation quality, and the reallocation of time resources toward direct patient care. However, realizing these potentials requires a human-centered and context-sensitive implementation approach.
Industry 4.0 Science | Volume 42 | 2026 | Edition 1 | Pages 154-160 | DOI 10.30844/I4SE.26.1.146
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  • I4S+
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    • Automation
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  • Artificial Intelligence
  • Functions
    • Start-up Management
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    • Training
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    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
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