The Covid-19 pandemic is radically changing the national and regional health systems. Technological innovation represents a solution capable of solving some of the key points of the pandemic emergency, specifically the speed of response, the need to maintain social distances and support for patient autonomy. In recent years, the potential of the new paradigm called “Internet of Things” (IoT), and its applications in the healthcare sector, has attracted the attention of scholars, practioners and policy makers (Atzori et al. 2014, 2017; Dhanvijay and Patil, 2019). The application of IoT has allowed the introduction of digital technological solutions capable of responding to the new cost containment and social challenges that the healthcare sector is facing. Mobile health (M-health) represents the most promising IoT applications in the healthcare sector. In fact, during the lockdown that the Covid-19 pandemic imposed, medical visits were reduced to limit face-to-face contacts. M-health technology have enabled healthcare professionals to continue delivering healthcare services by monitoring patient parameters, providing timely medical care or information. The impact of the implementation of the IoT in healthcare has gained more and more attention in the academic and industrial world. Kai and Ahmed (2013, pp. 1016-1020), point out that the combination of M-health and the Internet of Things (IoT) can make life easier for patients and doctors. The growing number of smartphones allows for a rapid spread of health monitoring apps. The spread of this combination of M-health and IoT has ignited the academic debate on the creation of a smart community in the health care sector. Giorgini (2006) identified the main players in M-health: User/Patient, hospital, doctor, Health Authority (HA), Medical Information System (MIS). In this study, we consider M-health technology a mechanisms of knowledge transfer. This study aims to provide an overview of the smart community concept in healthcare, focusing attention on mobile applications (M-Apps) used during pandemic period. In order to achieve this, this study is based on qualitative and deductive approach. This aims to build the theoretical premises regarding smart community in health sector and E-health innovation, with particular reference to Mobile applications (M-App). This phase was set up as a definition of a theoretical framework that allows us to understand how to analyze the phenomenon being observed. In the second part, a taxonomy of the M-apps created and used by the Italian regions as a support tool for the emergency from Covid-19 is reported. The data/information used in this research is the result of the analytical study on the M- App issued by the Italian regions and the M-App issued by the Italian Government (IMMUNI). The apps considered have common characteristics. Specifically, the M-Apps are officially released and approved by the regions as tools to combat Covid-19 and are present in the most popular operating platforms (Play Store and iTunes). The identified M-Apps were subsequently classified according to the type, technical functionality, description, number of downloads, and user feedback. The results of this study also highlight how the use of M-apps allows to improve the efficiency of the healthcare sector and support the doctor-patient relationship. In addition, the results put in evidence like the concept of smart community, smart city is nebulous and has undefined theory (Harrison & Donnelly, 2011; Chourabi et al, 2012; Goodspeed, 2014; Tok et al, 2014; Albino et al 2015). In particular, the definition and construction of a smart community in the healthcare sector is still unexplored.