ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025
Facilitators and barriers for using artificial intelligence in cancer pain assessment: a qualitative study.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Barriers and Facilitators to AI Implementation in Intensive Care Units in China: Qualitative Study Among Nurse Managers.Journal of medical Internet research · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study qualitatively explored healthcare providers' perception regarding the use of modern technology, specifically artificial intelligence (AI), in the assessment and management of cancer pain. It also aimed to identify barriers to adopting AI-based solutions in clinical settings.
methodsIn-depth interviews were conducted with a purposive sample of healthcare professionals between July and October 2023. Participants included physicians and nurses shared their insights into how AI technology could support their practices in managing cancer pain while also highlighting the challenges and barriers to its incorporation. The collected data were analyzed using thematic analysis to identify key themes and sub-themes.
resultsA total of 13 healthcare providers participated, comprising seven males (54%) and six females (46%), with a mean age of 36 ± 4 years. Their professional experience ranged from 3 to 16 years. The analysis revealed two primary themes: (1) facilitators for AI adoption in cancer pain management and (2) barriers to AI integration. Under the first theme, sub-themes included positive attitudes toward AI adoption, the potential for enhancing clinical efficiency, anticipated future advancements in AI, and support for training and implementation. Barriers included concerns about the reliability and technical limitations of AI, financial and resource constraints, resistance to change and preference for traditional methods, risks of miscommunication and misunderstanding, and dependency on developers' expertise for AI validation.
conclusionsThe findings indicate that while healthcare professionals generally perceive AI as a valuable tool in cancer pain management, successful implementation requires addressing concerns regarding trust, training, and resource availability. Ensuring adequate training and development confidence in AI's reliability are essential steps for integrating AI into routine clinical practice.
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