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

Ahmad, Osamah and Mason, Stephen and Stanley, Sarah and Nwosu, Amara Callistus (2025) Exploring Perspectives of Health Care Professionals on AI in Palliative Care: Qualitative Interview Study : A Qualitative 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:
Journal Article
Journal or Publication Title:
JMIR Human Factors
ID Code:
233982
Deposited By:
Deposited On:
01 Dec 2025 13:20
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Dec 2025 23:05