Perception of AI Symptom Models in Oncology Nursing: Mixed Methods Evaluation Study

Oncology nurses agree that predictive symptom models could help improve symptom management for patients undergoing cancer treatment. However, nurses noted that transparency in the factors included in the AI model was essential, that nurses should be involved in the development and testing of models, and that the observability of the benefit in symptom care would need to be evident for ultimate adoption.

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Publication Details

Journal
JMIR Nursing
Published
2026-02-04
DOI
https://doi.org/10.2196/82283
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Perception of AI Symptom Models in Oncology Nursing: Mixed Methods Evaluation Study

Aref Smiley, Kathi Mooney, Elizabeth A. Sloss, Joseph Finkelstein et al.
JMIR Nursing
Artificial Intelligence in Healthcare and Education
article

Perception of AI Symptom Models in Oncology Nursing: Mixed Methods Evaluation Study

Aref Smiley, Kathi Mooney, Elizabeth A. Sloss, Joseph Finkelstein, Bridget Nicholson
article en

Abstract

Oncology nurses agree that predictive symptom models could help improve symptom management for patients undergoing cancer treatment. However, nurses noted that transparency in the factors included in the AI model was essential, that nurses should be involved in the development and testing of models, and that the observability of the benefit in symptom care would need to be evident for ultimate adoption.

JMIR NursingVol. 9
University of Arizona (US), University of Utah (US), Huntsman Cancer Institute (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Artificial Intelligence in Healthcare and Education
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