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The SIMPATIC project (acronym for Intelligent System for the Private and Autonomous Surveillance based on Information and Communication Technologies, in Catalan) addresses the building of a monitoring system for people affected with Mild Cognitive Impairments (MCI). It consists of a mobile app running on the patient's smartphone and a server that analyses the device's location and raises alarms under certain conditions. This is a research project that comprises both technological and human challenges. Regarding the technological aspects, we have not merely built a testbed prototype: our technology has been tested in a real-life scenario.In this paper we address the implementation aspects and technological results of the pilot test conducted within the SIMPATIC project. We describe the architecture of the SIMPATIC system as well as its functionalities, but we focus on the implementation aspects that make our software a fully functional monitoring system based on smartphones and web technology.

The advances in the miniaturisation of electronic devices and the deployment of cheaper and faster data networks have propelled environments augmented with contextual and real-time information, such as smart homes and smart cities. These context-aware environments have opened the door to numerous opportunities for providing added-value, accurate and personalised services to citizens. In particular, smart healthcare, regarded as the natural evolution of electronic health and mobile health, contributes to enhance medical services and people’s welfare, while shortening waiting times and decreasing healthcare expenditure. However, the large number, variety and complexity of devices and systems involved in smart health systems involve a number of challenging considerations to be considered, particularly from security and privacy perspectives. To this aim, this article provides a thorough technical review on the deployment of secure smart health services, ranging from the very collection of sensors data (either related to the medical conditions of individuals or to their immediate context), the transmission of these data through wireless communication networks, to the final storage and analysis of such information in the appropriate health information systems. As a result, we provide practitioners with a comprehensive overview of the existing vulnerabilities and solutions in the technical side of smart healthcare.