Curious but Unprepared: Healthcare Students’ Perspectives on AI and Robotics in Care and the Need for Curriculum Reform

摘要

The integration of Artificial Intelligence and Robotics (AI/R) in healthcare presents both opportunities and challenges, especially in developing countries. This study assessed the attitudes and perceptions of Vietnamese healthcare undergraduates towards AI/R applications in healthcare and elderly care. In 2023, a cross-sectional survey was conducted among 1221 Vietnamese healthcare undergraduates. The questionnaire covered demographic, academic, social, and mental factors, as well as attitudes towards AI/R applications measured by a five-level Likert scale. Key findings revealed that respondents were primarily majoring in medicine (60.9%) and pharmacy (29.4%). Awareness and interest in AI/R were high (89.9% and 88.3%, respectively), but formal training was significantly lacking (5.9%). A substantial majority (89.9%) expressed a need for AI/R training. Respondents perceived considerable benefits of AI/R, particularly in data synchronization (mean [M] = 3.83), workload reduction for medical staff (M = 3.79), and delivering multiple healthcare benefits (M = 3.82). Moderate concerns were noted regarding security and privacy (M = 3.46), potential over-reliance on technology (M = 3.43), and AI/R potentially replacing medical staff (M = 3.38). Overall, perceived benefits (M = 3.67) outweighed concerns (M = 3.38), (p < 0.001). Additionally, participants aware of AI/R and those planning to study abroad showed greater interest and training needs in AI/R. Higher GPA and self-esteem were associated with a greater interest in AI/R research. The study highlights a significant gap in formal AI/R training, not only in availability but also in the absence of structured, outcome-based curricula, despite the strong interest among healthcare students in acquiring knowledge and skills in this area. These findings suggest the need for enhanced educational programs to train healthcare students with the necessary competencies to apply AI/R technologies effectively.