Generative artificial intelligence in oncology nursing practice
Author Identifier (ORCID)
Wai Hang Kwok: https://orcid.org/0000-0002-1854-4300
Abstract
The global burden of cancer continues to rise, placing sustained pressure on healthcare systems and oncology services worldwide (Bray et al., 2024; Ferlay et al., 2020). Oncology nurses play a central role across the cancer trajectory, managing physical symptoms while also addressing psychosocial needs such as fear, uncertainty, and distress, particularly during treatment transitions and life-altering decisions (Rha and Lee, 2017; Steffensen et al., 2018). However, this broad and relational role is increasingly challenged by workforce shortages, occupational stress, and fragmented care pathways between treatment cycles (Bray et al., 2021; Challinor et al., 2020; Rha and Lee, 2017; Steffensen et al., 2018; Zhou et al., 2024).
Keywords
oncology nursing, cancer care, psychosocial support, workforce challenges, patient care, healthcare systems
Document Type
Editorial
Date of Publication
1-1-2026
Publication Title
European Journal of Oncology Nursing
Publisher
Elsevier
School
School of Nursing and Midwifery
Copyright
subscription content
Comments
Wang, G., Kwok, W. H., & Tan, J. (2026). Generative artificial intelligence in oncology nursing practice. European Journal of Oncology Nursing, 82, 103207. https://doi.org/10.1016/j.ejon.2026.103207