德国护理行业的人工智能

Authors / Matthias Hartwig, Sophie Charlotte Meyer, Johannes Wendsche,Sascha Wischniewski Attribution 4.0 International (CC BY 4.0) This work is licensed under the Creative Commons Attribution 4.0 International. See:https://creativecommons.org/licenses/by/4.0/. The user is allowed to reuse, share (copy and redistrib-ute), adapt (remix, transform and build upon the original work) as detailed in the licence. Theuser must clearly credit the ILO as the source of the material and indicate if changes were made Attribution– The user must indicate if changes were made and must cite the work as fol-lows: Hartwig, M., Meyer, S., Wendsche, J., Wischniewski, S.Artificial Intelligence (AI) in the NursingProfession in Germany. ILO Working Paper 161. Geneva: International Labour Office, 2026.© ILO. Translations– In case of a translation of this work, the following disclaimer must be added along with the attribution:This is a translation of a copyrighted work of the International LabourOrganization (ILO). This translation has not been prepared, reviewed or endorsed by the ILO and shouldnot be considered an official ILO translation. The ILO disclaims all responsibility for its content and ac- Adaptations– In case of an adaptation of this work, the following disclaimer must be addedalong with the attribution:This is an adaptation of a copyrighted work of the International LabourOrganization (ILO). This adaptation has not been prepared, reviewed or endorsed by the ILO and should Third-party materials– This Creative Commons licence does not apply to non-ILO copyright ma-terials included in this publication. If the material is attributed to a third party, the user of such Any dispute arising under this licence that cannot be settled amicably shall be referred to arbitra-tion in accordance with the Arbitration Rules of the United Nations Commission on International For details on rights and licensing, contact:rights@ilo.org. For details on ILO publications anddigital products, visit:www.ilo.org/publns. ISBN 9789220432334 (print), ISBN 9789220432341 (web PDF), ISBN 9789220432358 (epub), ISBN9789220432365 (html). ISSN 2708-3438 (print), ISSN 2708-3446 (digital) https://doi.org/10.54394/00033249 The designations employed in ILO publications, which are in conformity with United Nationspractice, and the presentation of material therein do not imply the expression of any opinion or of its authorities, or concerning the delimitation of its frontiers or boundaries. See:www.ilo.org/disclaimer. The opinions and views expressed in this publication are those of the author(s) and do not nec-essarily reflect the opinions, views or policies of the ILO. Reference to names of firms and commercial products and processes does not imply their en-dorsement by the ILO, and any failure to mention a particular firm, commercial product or pro- Information on ILO publications and digital products can be found at:www.ilo.org/research-and-publications ILO Working Papers summarize the results of ILO research in progress, and seek to stimulatediscussion of a range of issues related to the world of work. Comments on this ILO Working Paper Authorization for publication: Caroline Fredrickson, Department Director ILO Working Papers can be found at:www.ilo.org/research-and-publications/working-papers Suggested citation:Hartwig, M., Meyer, S., Wendsche, J., Wischniewski, S. 2026.Artificial Intelligence (AI) in the Nursing Profession in Germany, ILO Working Paper 161 (Geneva, ILO).https://doi.org/10.54394/00033249 Abstract Nursing professionals are critical to healthcare system functioning but face demanding work-ing conditions characterized by high physical and emotional strain, severe staff shortages, andelevated rates of sickness absence. Artificial intelligence (AI) is increasingly discussed as a trans- To address this topic, we draw on data from the 2024 German survey on digitalization and changein employment (DiWaBe 2.0) including approximately 9800 respondents, with a nursing subsam-ple of 165 respondents. Analyses included descriptive comparisons between nursing profession-als and other professions, as well as regression models examining relationships between AI use Nursing professionals reported substantially lower AI adoption compared to other professions.When nurses did use AI, applications focused primarily on text processing and diagnostic func-tions, though usage intensity remained notably lower across all categories. Most AI tools used bynurses were employee-initiated rather than organizationally implemented. Nurses also reportedlower perceived benefits from AI. Regression analyses showed positive associations between AIuse and both decision latitude facets, which remained significant even after controlling for de- This study provides empirical evidence on AI adoption across diverse nursing contexts and usecases, moving beyond isolated implementation studies. The findings hint towards a gap betweenAI's theoretical potential