## 1 Introduction  
In recent years, the healthcare industry has experienced a revolution driven by advancements in technologies and applications, such as wearable devices, mobile health apps, telehealth and telemedicine, mobile health, electronic health, and health information technology. The use of such technologies and applications in healthcare systems is referred to as digital health, and this has transformed the way healthcare is delivered [1]. For example, digital health has enabled remote healthcare delivery through telemedicine, which became increasingly popular during the COVID-19 pandemic. Telemedicine allows patients to connect with their healthcare providers via video links and have remote consultations, which can save time, reduce costs, and improve accessibility, particularly for patients in remote areas [2]. Digital health also aims at a more patient-centric approach that empowers patients to take control of their health. For example, with the use of wearable devices and mobile health applications, patients can track their physical activity, diet, sleep patterns, and other activities. This can help patients make more informed decisions about their health and well-being and take an active role in preventing and managing chronic diseases. Such data can also be shared and used by healthcare professionals to identify any potential health issues and to provide personalised health recommendations [3]. The fifth industrial revolution (hereafter referred to as Industry 5.0) represents the latest iteration of industrial automation and refers to the integration of advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) [4; 5], to optimise the production process. Industry 5.0 also seeks to create a more human-centric approach to industry by emphasizing the importance of collaboration between humans and machines [6]. According to the European Union, Industry 5.0 provides a vision of industry that aims beyond efficiency and productivity as goals and reinforces the role and contribution of industry to society [5; 7]. In the context of digital health, Industry 5.0 can be applied to improve patient care and treatment through the use of connected medical devices and telemedicine that, for example, allow for the remote monitoring and diagnosis of patients. Additionally, Industry 5.0 technologies can be used to improve the efficiency and effectiveness of healthcare systems by automating administrative tasks and enabling real-time data analysis to inform decision-making. Such technologies can also be used to optimise the supply chain of pharmaceutical and medical products. Smart factories can improve the efficiency of production, reduce waste, and improve the traceability and transparency of the supply chain, which can help to ensure patient safety. In summary, Industry 5.0 and digital health share a common goal of using advanced technologies to improve the efficiency and effectiveness of healthcare delivery while also ensuring patient safety and better outcomes. Nevertheless, a better understanding of such advanced technology and its limitations is an essential aspect of successful digital health applications [3]. Rapidly changing technology means that we need to prepare future healthcare professionals to embrace the continuous shifting of skills and leverage human/technology co-operation to solve future problems [8]. It is essential that healthcare professionals have the knowledge and skills to apply and manage advanced technologies and data analytics effectively in order to provide personalised digital healthcare solutions [9]. As a result, the education and training paradigms for professionals in healthcare must adapt to keep pace with this transformation. Most higher education institutions are sufficiently forward-thinking to play a central role in developing curricula that help their students to acquire the skills and knowledge related to new digital technologies. However, according to [PERSON] et al.