ReviewIndian journal of palliative care
Evaluating Chatbots as Nursing Assistants in Palliative Care: A Narrative Review.
Review in Indian journal of palliative care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) powered chatbots are emerging tools to support healthcare providers, especially in palliative care, by delivering information, emotional support and practical assistance to patients and caregivers. This study aimed to perform a Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis of chatbots acting as nursing assistants in palliative care, to elucidate their potential benefits, challenges and future directions. We conducted a narrative review of articles published between January 2020 and March 2025. Two reviewers independently searched relevant databases and screened studies according to predefined inclusion criteria. Extracted data were synthesised using the SWOT framework, and findings were reported in a narrative format. AI-powered chatbots in palliative care offer strengths such as enhanced patient support, symptom monitoring and mental health check-ins, but suffer from weaknesses such as inaccurate information and poor integration with health records. Opportunities include educational potential and personalised care, while threats include privacy concerns, regulatory gaps and resistance from healthcare professionals. Over-reliance on technology could also undermine empathetic, human-centred care. This review shows that AI-powered chatbots in palliative care can improve communication and personalised monitoring. However, challenges such as accuracy, data security and funding need to be addressed. Future studies should focus on long-term outcomes and cost-benefit analyses.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.