## 3 Discussion  
By connecting all the arguments presented in the different paragraphs, it is possible to identify a common thread that connects the user's point of view, economic strategic needs, and research needs. In the previous paragraph, we defined the easily applicable and currently available technologies (IoT and cloud computing) while placing them in the user-centered design model. With this in mind, the next applicable interventions in telemedicine and eHealth refer to improved \"real-time data exchange\" and the implementation of \"closed-loop operations\" [51], as far as the \"data communication\" Figure 1 side of the presented model is concerned. Additionally, there are shorter production cycles for the \"organizational strategy\" side. This progress makes the gap between the obtained data and the actual data smaller, which is necessary for the further attainment of the health of patients and sportsmen. As a logically deducible consequence of improving the application model of technologies, a new amount of data is expected to be generated for each degree of technological advancement, such as to fall under big data. This is useful for improving organizational strategy aspects such as \"knowledge reuse\" and \"innovation\". The integration of the presented user-centered design model is found in the planning and design process, in later stages than those of technology choice, as suggested by the analyzed studies. Among the positive factors that refer to better involvement of users (patients in the eHealth field), we find the emergence of new \"patient expert professionals\" either directly on the development team or through platforms that allow for continuous interaction with the patients involved. However, such a shift in perspective aimed at increasingly integrating the patient requires effort from all stakeholders involved in the development of the model, in terms of education and awareness (of the patient, medical staff, technical staff, etc.) [52]. Tracing the common thread of the discourse, it is currently possible to develop new ways of implementing IoT technologies, cloud computing, AI, and other KETs in the professional sports sector, especially regarding one of the key factors in athletic training and performance optimization: nutrition [53]. Among the peculiarities of KETs is the possibility of interconnecting systems, allowing for an applicative analysis of telemedicine models in the field of food control and models related to the athletes' energy consumption during their day. To make the \"merge\" process possible [54], it is necessary to plan suitable technologies, common programming languages, and \"open\" application models (predisposed for interfacing with other \"tangent\" systems from the user's point of view) in the various project stages (identified as projecting, planning, and usage). It is essential to design future models using the user-centered design philosophy, disadvantaging the market-oriented philosophy, to obtain a better result in the end-user's acceptance [55; 56] of the system. Including the patient in model development processes denotes positive opportunities for patients themselves, researchers, and the healthcare system to achieve better outcomes. However, current integration efforts are often limited by necessary and preliminary activities that pose barriers in certain processes (e.g., limited time frame for production, subject knowledge, and understanding of guidelines and validated methods) [57]. The findings of [PERSON] and colleagues [58] align with the suggestion for increased patient involvement in telehealth models. The study highlights the need for greater patient intervention in analyzing models and verifying their perceived value. The study also suggests that patient involvement is necessary in comparing how to communicate objectives and in the training of medical and technical staff, which could improve the design of future models in the eHealth sector related to nutrition and beyond.