Artificial intelligence-enabled workflows in nursing and their impact on workload, emotional well-being, and workforce sustainability: A systematic review.
- DOI
- 10.1016/j.ijnurstu.2026.105630
- Published
- 2026 Oct
- Container
- International journal of nursing studies
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijnurstu.2026.105630,
title = {Artificial intelligence-enabled workflows in nursing and their impact on workload, emotional well-being, and workforce sustainability: A systematic review.},
author = {Sarıköse S and Sengul T and Çıkırıkçı EHK and Kirkland-Kyhn H},
year = {2026},
journal = {International journal of nursing studies},
doi = {10.1016/j.ijnurstu.2026.105630},
url = {https://doi.org/10.1016/j.ijnurstu.2026.105630}
}RIS
TY - JOUR TI - Artificial intelligence-enabled workflows in nursing and their impact on workload, emotional well-being, and workforce sustainability: A systematic review. AU - Sarıköse S AU - Sengul T AU - Çıkırıkçı EHK AU - Kirkland-Kyhn H PY - 2026 JO - International journal of nursing studies DO - 10.1016/j.ijnurstu.2026.105630 UR - https://doi.org/10.1016/j.ijnurstu.2026.105630 ER -
APA
S, S., T, S., EHK, Ç., & H, K. (2026). Artificial intelligence-enabled workflows in nursing and their impact on workload, emotional well-being, and workforce sustainability: A systematic review.. International journal of nursing studies. https://doi.org/10.1016/j.ijnurstu.2026.105630
Source records
- pubmed · retrieved 2026-09-26T21:03:24.777Z