Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States

For patients experiencing cancer, nurse navigation can ease the burden of complex care by enhancing coordination of health services and patient outcomes. However, in under-resourced areas, trained nurse navigators may be limited or non-existent. In the United States, artificial intelligence (AI)-enabled digital health tools are increasingly available and may help address gaps in care coordination; however, most are not designed to specifically support nursing. This perspective piece discusses a human-centered AI framework that integrates empathic and agentic approaches grounded in the American Nurses Association's code of ethics to support nurses in the United States in cancer care navigation. The framework could augment, not replace, human empathy and agency while improving nurse workflow, patient-clinician relationships, and care coordination services in under-resourced areas.

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Publication Details

Journal
ESMO Real World Data and Digital Oncology
Published
2026-03-14
DOI
https://doi.org/10.1016/j.esmorw.2026.100694
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States

R. Davis, B. White, A. Shaban-Nejad, T. Girdwood et al.
ESMO Real World Data and Digital Oncology
Artificial Intelligence in Healthcare and Education
article

Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States

R. Davis, B. White, A. Shaban-Nejad, T. Girdwood, D. Schwartz, P. Kheirkhah, S. Kheirinejad
article en

Abstract

For patients experiencing cancer, nurse navigation can ease the burden of complex care by enhancing coordination of health services and patient outcomes. However, in under-resourced areas, trained nurse navigators may be limited or non-existent. In the United States, artificial intelligence (AI)-enabled digital health tools are increasingly available and may help address gaps in care coordination; however, most are not designed to specifically support nursing. This perspective piece discusses a human-centered AI framework that integrates empathic and agentic approaches grounded in the American Nurses Association's code of ethics to support nurses in the United States in cancer care navigation. The framework could augment, not replace, human empathy and agency while improving nurse workflow, patient-clinician relationships, and care coordination services in under-resourced areas.

ESMO Real World Data and Digital OncologyVol. 12
University of Tennessee Health Science Center (US)
Openalex Percentile: Top 26%
Artificial Intelligence in Healthcare and Education
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Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States — R. Davis, B. White, et al. · ESMO Real World Data and Digital Oncology (2026) | TGRS Research Map | TGRS