Exploring Perspectives of Health Care Professionals on AI in Palliative Care: Qualitative Interview Study

Ahmad, O ORCID: 0009-0000-0522-3762, Mason, S ORCID: 0000-0002-4020-6869, Stanley, S ORCID: 0000-0002-7120-8680 and Nwosu, AC ORCID: 0000-0003-0014-3741 (2025) Exploring Perspectives of Health Care Professionals on AI in Palliative Care: Qualitative Interview Study. JMIR Human Factors, 12. e79514. ISSN 2292-9495

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Abstract

Background:
The use of artificial intelligence (AI) methods in palliative care research is increasing. Most AI palliative care research involves the use of routinely collected data from electronic health records; however, there are few data on the views of palliative care health care professionals on the role of AI in practice. Determining the opinions of palliative care health care professionals on the potential uses of AI in palliative care will be useful for policymakers and practitioners to determine and inform the meaningful use of AI in palliative care practice.

Objective:
This study aimed to explore the views of palliative care health care professionals on the use of AI for the analysis of patient data in palliative care.

Methods:
This was a phenomenological study using qualitative semistructured interviews with palliative care health care professionals with a minimum of 1 year of clinical experience in a hospice in the North West of England. Data were analyzed using inductive thematic analysis.

Results:
We interviewed 6 palliative care professionals, including physicians, nurses, and occupational therapists. AI was viewed positively, although most participants had not used it in practice. None of the participants had received training in AI and stated that education in AI would be beneficial. Participants described the potential benefits of AI in palliative care, including the identification of people requiring palliative care interventions and the evaluation of patient experiences. Participants highlighted security and ethical concerns regarding AI related to data governance, efficacy, patient confidentiality, and consent issues.

Conclusions:
This study highlights the importance of staff perceptions of AI in palliative care. Our findings support the role of AI in enhancing care, addressing educational needs, and tackling trust, ethics, and governance issues. This study lays the groundwork for guidelines on AI implementation, urging further research on the methodological, ethical, and practical aspects of AI in palliative care.

Item Type:	Article
Uncontrolled Keywords:	Humans; Palliative Care; Attitude of Health Personnel; Qualitative Research; Artificial Intelligence; Adult; Middle Aged; Health Personnel; England; Female; Male; Interviews as Topic; AI; artificial intelligence; digital health; education; end of life; ethics; innovation; technology; Humans; Palliative Care; Qualitative Research; Health Personnel; Attitude of Health Personnel; Female; Artificial Intelligence; Male; Interviews as Topic; England; Adult; Middle Aged; 4203 Health Services and Systems; 4205 Nursing; 42 Health Sciences; Clinical Research; Machine Learning and Artificial Intelligence; Health Services; 7.2 End of life care; 3 Good Health and Well Being; 4203 Health services and systems; 4609 Information systems
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RT Nursing T Technology > T Technology (General)
Divisions:	Nursing and Advanced Practice
Publisher:	JMIR Publications Inc.
Date of acceptance:	19 November 2025
Date of first compliant Open Access:	22 December 2025
Date Deposited:	22 Dec 2025 15:59
Last Modified:	22 Dec 2025 15:59
DOI or ID number:	10.2196/79514
URI:	https://researchonline.ljmu.ac.uk/id/eprint/27769

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