Sign inGet started
Paper · arXiv

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 naviga...

AuthorsTyra Girdwood, Saba Kheirinejad, Parnian Kheirkhah Rahimabad et al.
Primary categorycs.HC
Published11 April 2026
Last updated at source11 April 2026
cs.HCcs.AIcs.CY
Embed this entry
<iframe src="https://silytics.si/embed/item/9ca78884-717e-4c4c-a565-a725d6770162" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.