Abstract
Healthcare sector, especially in Central and Eastern European countries has to face with several challenges, like “brain drain”, financing problems and fast aging population. There is a growing demand for more economic way for prevention and monitoring. At the same time Future Internet solutions offer personalized high-quality health services, this can be utilized to move far beyond traditional care. New, innovative solutions are provided, like remote health monitoring, which provide cost effective services in a relative low cost infrastructure. This paper presents PISCES, a responsive health monitoring mobile information system, which enables remote monitoring of the patients’ health-status and physical performances. The goal of the PISCES solution is not only to monitor the health status of the participants, but react in any case of deficiency, as well as giving the opportunity to increase the level of the physical activities. The paper discusses PISCES pilot, which run in Hungary in 2014, as well as social, economic, security, privacy and legal perspectives of mHealth solutions.
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Source: OECD Health Data 2014; Eurostat Statistics Database; WHO Global Health Expenditure Database.
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Hungarian Statistical Office http://www.ksh.hu/docs/hun/xstadat/xstadat_hosszu/h_wdsd001a.html, retrieved 2015 March 22.
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PISCES – Promoting Future Internet Solutions in Health Environment (Celtic Plus CPP2011/1-3) The project is supported by the Hungarian Research and Technology Innovation Fund, (New Széchenyi Plan EUREKA_20_12-1-2012-0007).
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Acknowledgement
The research reported in this paper was supported by PISCES-Promoting Future Internet Solution Health Environment project (EUREKA_HU_12-1-2012-0007), in cooperation with the Corvinno Technology Transfer Center. Special thanks goes to Dr. Nenad Stojanovic for guiding and mentoring the system development and pilot.
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Kő, A., Gábor, A., Szabó, Z. (2015). Innovative eHealth Services – PISCES Solution. In: Kő, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2015. Lecture Notes in Computer Science, vol 9265. Springer, Cham. https://doi.org/10.1007/978-3-319-22389-6_15
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