Artificial intelligence in symptom management and clinical decision support for palliative care

AI offers promising solutions to enhance palliative nursing through proactive, data-driven care. Ethical implementation, training, and validation are key to sustainable adoption.

Authors

Institutions

Publication Details

Journal
International Journal of Palliative Nursing
Published
2025-06-02
DOI
https://doi.org/10.12968/ijpn.2025.0041
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence in symptom management and clinical decision support for palliative care

Joylyn Mejilla, Roison Andro Narvaez, Ralph Antonio Peco, Marilane Ferrer
2 citations
International Journal of Palliative Nursing
Artificial Intelligence in Healthcare and Education
1.31
article

Artificial intelligence in symptom management and clinical decision support for palliative care

Joylyn Mejilla, Roison Andro Narvaez, Ralph Antonio Peco, Marilane Ferrer
article en
2 citations

Abstract

AI offers promising solutions to enhance palliative nursing through proactive, data-driven care. Ethical implementation, training, and validation are key to sustainable adoption.

International Journal of Palliative NursingVol. 31(6)
Centro Escolar University (PH)
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
1.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.