The aging of the human population has a profound impact on all aspects of social life, with particular reference to healthcare processes. This fact involves a variety of preventive actions aimed at delaying and contrasting decline in the daily activities of each individual from a physiological point of view. One of the biggest challenges that healthcare professionals try to face is the prevention of pressure ulcers, which are one of the most periodic and feared consequences of aging. Pressure ulcers (PUs), also called bedsores or pressure sores, are injuries whose formation happens when the skin is under constant pressure for a long enough period of time, and it occurs more frequently in hospitalized patients. Data from the National Advisory

No abstract

No abstract

No abstract

Summary Recently, even the road industry has been involved in an evolutionary process, inspired by the novel ‘Industry 4.0’. This transition moves the attention towards big‐data and Internet of Things concepts, determining novel data flows and relevant management efforts. In smart roads, modern instrumented vehicles and networks of sensors will provide frequent helpful measures (traffic, weather, condition, accidents, mechanical performance, etc.), with reduced efforts and costs. However, this process is currently at the preliminary phases and several issues raise. Since the management and elaboration of huge amounts of data represent a relevant novel issue, in this study, an original web platform for collection and analysis of road performance data is proposed. This platform can acquire and process several data classes and support maintenance activity planning. This paper focuses on pavement maintenance, to provide a reliable decision support tool for road agencies, alternatively feedable by modern survey equipment and, in future, widespread sensors (when effective smart road sensors are installed on the main highways). The platform has been tested, in a preliminary form, on an existing motorway, considering high‐performance survey systems data, with interesting and positive results.