Developing interactive learning interfaces for teaching AI in health professions education using generative AI tools.

Ensuring the quality of care and promoting patient safety stand as pivotal objectives within healthcare []. Although some interventions have proven effective [, ], the broader literature indicates that system-wide improvements in quality of care have remained limited [, ]. These limitations are attributed both to the modest overall gains reported in the field [, ] and to the difficulty of establishing clear empirical links between specific quality-improvement interventions and demonstrable enhancements in care and patient safety []. A possible explanation for this phenomenon is the ongoing challenge in deeply comprehending the intricate dynamics of quality and patient safety, coupled with the requisite contextual conditions [], essential for the effective implementation of corresponding measures. In response, the research community has intensified empirical efforts to enhance this understanding [, ]. Additionally, an emerging perspective emphasizes the need to complement this empirical approach with a theory-based approach in quality and safety [, ]. As a consequence, more initiatives have focused on developing new theories or frameworks through qualitative research [], psychological and social-psychological approaches [], and safety-specific theoretical models (e.g., normal accident theory, high reliability organization theory) []. Although research on quality and safety often seeks theoretical foundations, sociological theories have been surprisingly underutilized []. This is noteworthy because theory-based interventions, such as those designed to promote behavior change, have been shown to be more effective []. This raises concerns, considering that healthcare organizations operate as social systems [], where quality initiatives emerge from collective learning and action, transcending individual efforts [, ]. Recognizing this gap, commendable efforts have recently emerged to integrate sociological theoretical approaches into research on quality and safety [, ]. We endorse the ongoing exploration of this promising stance and seek to contribute to its advancement.