Objectives This study aimed to explore Hong Kong healthcare professionals’ (HCPs’) perceptions of and needs for a Home-based Artificial Intelligence Pain Management System (HAIPMS) for 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 between March and June 2025. Data were analyzed using thematic analysis. Results A total of 14 participants (mean age 37.5, SD 9.5 years; 3 males [21%], 11 females [79%]) were included. 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.
No takes yet. Share an insight, caveat, or question.
Chen et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: