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Hospitalists, known as physicians, are an emerging group in the medical field that is focused on the general medical care of hospitalized patients. Specializing in hospital medicine, they often attract a mix of appreciation and criticism. In the present manuscript, we review the pros and cons of a hospitalist in the health-care system. Although experts agree that hospitalists add value to the health-care system by reducing costs, streamlining administrative processes, and contributing to improved health-care outcomes, there is a large degree of disagreement regarding the extent of hospitalist contribution to overall improvements on health-care outcomes. In this paper, new strategies to overcome reported shortcomings and to further improve the quality of health care are discussed. Abbreviations: SHM: Society of Hospital Medicine; BOOST: Better Outcomes by Optimizing Safe Transitions; RED: Re-Engineered Discharge; CHF: chronic heart failure; MI: myocardial infarction; ICU: intensive care unit; PACT: post-acute care transitions; MRSA: methicillin-resistant Staphylococcus aureus; CINAHL: The Cumulative Index to Nursing and Allied Health Literature; PCP: primary care physician.
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PMID:Era of hospitalists. 2944 Nov 60

Smart Cities are approaching the Internet of Things (IoT) World. Most of the first-generation Smart City solutions are based on Extract Transform Load (ETL); processes and languages that mainly support pull protocols for data gathering. IoT solutions are moving forward to event-driven processes using push protocols. Thus, the concept of IoT applications has turned out to be widespread; but it was initially "implemented" with ETL; rule-based solutions; and finally; with true data flows. In this paper, these aspects are reviewed, highlighting the requirements for smart city IoT applications and in particular, the ones that implement a set of specific MicroServices for IoT Applications in Smart City contexts. Moreover; our experience has allowed us to implement a suite of MicroServices for Node-RED; which has allowed for the creation of a wide range of new IoT applications for smart cities that includes dashboards, IoT Devices, data analytics, discovery, etc., as well as a corresponding Life Cycle. The proposed solution has been validated against a large number of IoT applications, as it can be verified by accessing the https://www.Snap4City.org portal; while only three of them have been described in the paper. In addition, the reported solution assessment has been carried out by a number of smart city experts. The work has been developed in the framework of the Select4Cities PCP (PreCommercial Procurement), funded by the European Commission as Snap4City platform.
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PMID:MicroServices Suite for Smart City Applications. 3169 12

In recent years, there is an increasing attention on air quality derived services for the final users. A dense grid of measures is needed to implement services such as conditional routing, alerting on data values for personal usage, data heatmaps for Dashboards in control room for the operators, and for web and mobile applications for the city users. Therefore, the challenge consists of providing high density data and services starting from scattered data and regardless of the number of sensors and their position to a large number of users. To this aim, this paper is focused on providing an integrated solution addressing at the same time multiple aspects: To create and optimize algorithms for data interpolation (creating regular data from scattered), making it possible to cope with the scalability and providing support for on demand services to provide air quality data in any point of the city with dense data. To this end, the accuracy of different interpolation algorithms has been evaluated comparing the results with respect to real values. In addition, the trends of heatmaps interpolation errors have been exploited to detected devices' dysfunctions. Such anomalies may often be useful to request a maintenance action. The solution proposed has been integrated as a Micro Services providing data analytics in a data flow real time process based on Node.JS Node-RED, called in the paper IoT Applications. The specific case presented in this paper refers to the data and the solution of Snap4City for Helsinki. Snap4City, which has been developed as a part of Select4Cities PCP of the European Commission, and it is presently used in a number of cities and areas in Europe.
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PMID:High Density Real-Time Air Quality Derived Services from IoT Networks. 3297 88