International journal of nursing sciences · 2026
Healthcare professionals' perceptions and needs for a Home-based Artificial Intelligence Pain Management System for cancer pain: A qualitative study.
СтатьяНазвание и аннотация: Перевод в очереди
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Chen Mengmeng, Chen Xin, Yuan Jiajun, Yang Meiling, Lu Jiachun, Lam Wing Chi, Ng Cheuk Yan, Wong Thomas K S
Аннотация
OBJECTIVES: This study aimed to explore healthcare professionals' (HCPs') perceptions of and needs for a Home-based Artificial Intelligence Pain Management System (HAIPMS) for cancer pain in Hong Kong, China.
METHODS: A qualitative study was conducted using semi-structured interviews with 14 HCPs from Jockey Club Home for Hospice (JCHH) in Hong Kong, China between March and June 2025. Data were analyzed using thematic analysis.
RESULTS: Their professional experience ranged from 3 to 33 years. Thematic analysis generated three themes and ten subthemes. The themes were: 1) valued but under-supported home-based cancer pain management, including family-dependent and intermittent professional support; comfort, affordability, and system relief in home-based care; and subjective assessment, medication non-adherence, and delayed support; 2) cautious optimism toward AI integration, including expectations for visible, measurable, and continuous pain monitoring; concern of risks resulted from AI implementation; and heterogeneous attitudes shaped by professional and generational divides; and 3) practical requirements for HAIPMS implementation, including essential functional modules; user-centered design and adaptability; safety and ethical assurance requirements; and training and sustained support.
CONCLUSIONS: HCPs viewed HAIPMS as a potentially useful supportive tool for home-based cancer pain management, provided that it preserves professional autonomy, fits local care contexts, and incorporates ethical safeguards, user-friendly design, and sustained support. These findings offer practical guidance for developing AI-assisted pain management systems in home-based cancer pain.
METHODS: A qualitative study was conducted using semi-structured interviews with 14 HCPs from Jockey Club Home for Hospice (JCHH) in Hong Kong, China between March and June 2025. Data were analyzed using thematic analysis.
RESULTS: Their professional experience ranged from 3 to 33 years. Thematic analysis generated three themes and ten subthemes. The themes were: 1) valued but under-supported home-based cancer pain management, including family-dependent and intermittent professional support; comfort, affordability, and system relief in home-based care; and subjective assessment, medication non-adherence, and delayed support; 2) cautious optimism toward AI integration, including expectations for visible, measurable, and continuous pain monitoring; concern of risks resulted from AI implementation; and heterogeneous attitudes shaped by professional and generational divides; and 3) practical requirements for HAIPMS implementation, including essential functional modules; user-centered design and adaptability; safety and ethical assurance requirements; and training and sustained support.
CONCLUSIONS: HCPs viewed HAIPMS as a potentially useful supportive tool for home-based cancer pain management, provided that it preserves professional autonomy, fits local care contexts, and incorporates ethical safeguards, user-friendly design, and sustained support. These findings offer practical guidance for developing AI-assisted pain management systems in home-based cancer pain.