Recent publications on digital health technologies highlight the importance of ‘responsible’ use. References to the concept of responsibility are, however, frequently made without providing clear definitions of responsibility, thus leaving room for ambiguities. Addressing these uncertainties is critical since they might lead to misunderstandings, impacting the quality and safety of healthcare delivery. Therefore, this study investigates how responsibility is interpreted in the context of using digital health technologies, including artificial intelligence (AI), telemonitoring, wearables and mobile apps. We conducted a scoping (...) review with a systematic search in PubMed, Web of Science, Embase, CINAHL and Philosopher’s Index. A total of 34 articles were included and categorized using a theoretical framework of responsibility aspects, and revealed two main findings. First, we found that digital health technologies can expand and shift existing ‘role responsibilities’ among caregivers, patients and technology. Second, moral responsibility is often equated with liability or accountability, without clear justification. Articles describe new ways in which physicians can be held accountable, particularly in the context of AI, and discuss the emergence of a ‘responsibility gap’ where no-one can be fully responsible for AI-generated outcomes. The literature also shows that m-Health technologies can increase patients’ accountability for their own health. However, there was limited discussion in the reviewed literature on whether these attributions of accountability are appropriate. We conclude with implications for practice and suggestions for expanding the theoretical framework of moral responsibility, recommending further study on responsibility of collectives and artificial entities, and on the role of virtue in digital health. (shrink)