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Innovative eHealth Services – PISCES Solution

  • Andrea KőEmail author
  • András Gábor
  • Zoltán Szabó
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9265)

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.

Keywords

eHealth mHealth Responsive health monitoring Future internet 

Notes

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.

References

  1. 1.
    Abadie, F., Codagnone, C., van Lieshout, M., Pascu, C., Baum, P., Hoikkanen, A., Valverde, J.A., Maghiros, I.: Strategic Intelligence Monitor on Personal Health Systems (SIMPHS) Market Structure and Innovation Dynamics. European Commission Joint Research Centre, Institute for Prospective Technological Studies (2011). http://ipts.jrc.ec.europa.eu. (ISBN 978-92-79-18947-0)
  2. 2.
    Pawar, P., Jones, V., Van Beijnum, B.J.F., Hermens, H.: A framework for the comparison of mobile patient monitoring systems. J. Biomed. Inform. 45(3), 544–556 (2012)CrossRefGoogle Scholar
  3. 3.
    Tan, J. (ed.): E-health care information systems: an introduction for students and professionals. Wiley, Chichester (2005)Google Scholar
  4. 4.
    Bundkirchen, A., Schwinger, R.H.: Epidemiology and economic burden of chronic heart failure. Eur. Heart J. Suppl. 6(suppl. D), D57–D60 (2004)CrossRefGoogle Scholar
  5. 5.
    Patel, S., Park, H., Bonato, P., Chan, L., Rodgers, M.: A review of wearable sensors and systems with application in rehabilitation. J. Neuroeng. Rehabil. 9(1), 21 (2012)CrossRefGoogle Scholar
  6. 6.
    Seto, E., Leonard, K.J., Masino, C., Cafazzo, J.A., Barnsley, J., Ross, H.J.: Attitudes of heart failure patients and health care providers towards mobile phone-based remote monitoring. J. Med. Internet Res. 12(4), e55 (2010)CrossRefGoogle Scholar
  7. 7.
    Klersy, C., De Silvestri, A., Gabutti, G., Raisaro, A., Curti, M., Regoli, F., Auricchio, A.: Economic impact of remote patient monitoring: an integrated economic model derived from a meta-analysis of randomized controlled trials in heart failure. Eur. J. Heart Fail. 13(4), 450–459 (2011)CrossRefGoogle Scholar
  8. 8.
    Al Ameen, M., Kwak, K.S.: Social issues in wireless sensor networks with healthcare perspective. Int. Arab J. Inf. Technol. 8(1), 52–58 (2011)Google Scholar
  9. 9.
    Meingast, M., Roosta, T., Sastry, S.: Security and privacy issues with health care information technology. In: 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006, August 30–September 3, pp. 5453–5458 (2006)Google Scholar
  10. 10.
    Hanna, L., Hailes, S.: Privacy and Wireless Sensor networks. University College, London (2010)Google Scholar
  11. 11.
    Kargl, F., Lawrence, E., Fischer, M., Lim, Y.Y.: Security, privacy and legal issues in pervasive ehealth monitoring systems. In: 7th International Conference on Mobile Business, ICMB 2008, pp. 296–304. IEEE (2008)Google Scholar
  12. 12.
    Meingast, M., Roosta, T., Sastry, S.: Security and privacy issues with health care information technology. In: 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006, pp. 5453–5458. IEEE (2006)Google Scholar
  13. 13.
    Ng, H.S., Sim, M.L., Tan, C.M.: Security issues of wireless sensor networks in healthcare applications. BT Technol. J. 24(2), 138–144 (2006)CrossRefGoogle Scholar
  14. 14.
    Wang, Y., Attebury, G., Ramamurthy, B.: A survey of security issues in wireless sensor networks. IEEE Commun. Surv. Tutorials 8(2), 2–23 (2006)CrossRefGoogle Scholar
  15. 15.
    Zia, T., Zomaya, A.: Security issues in wireless sensor networks. In: International Conference on Systems and Networks Communications, ICSNC 2006, p. 40. IEEE (2006)Google Scholar
  16. 16.
    Stroetmann, K.A., Jones, T., Dobrev, A., Stroetmann, V.N.: eHealth is Worth it. The economic benefits of implemented eHealth solutions at ten European sites. Published by the European Commission(2006). http://ec.europa.eu/information_society/activities/health/docs/publications/eHealthimpactsept2006.pdf. (last checked on 25 2010)
  17. 17.
    Kumar, P., Lee, H.J.: Security issues in healthcare applications using wireless medical sensor networks: A survey. Sensors 12(1), 55–91 (2011)CrossRefGoogle Scholar
  18. 18.
    Rigby, M.: Applying emergent ubiquitous technologies in health: The need to respond to new challenges of opportunity, expectation, and responsibility. Int. J. Med. Inform. 76, S349–S352 (2007)CrossRefGoogle Scholar
  19. 19.
    Hunter, J., Scott, R.E.: Considering the socio-cultural impact of E-health. In: Global Telehealth: Selected Papers from Global Telehealth 2010 (GT 2010): 15th International Conference of the International Society for Telemedicine and EHealth and 1st National Conference of the Australasian Telehealth Society, vol. 161, p. 77. IOS Press (2010)Google Scholar
  20. 20.
    Lee, S.I., Ghasemzadeh, H., Mortazavi, B., Lan, M., Alshurafa, N., Ong, M., Sarrafzadeh, M.: Remote patient monitoring: what impact can data analytics have on cost? In: Wireless Health, p. 4 (2013)Google Scholar
  21. 21.
    Gábor A.: “PISCES – Responsive Remote eHealth”. In: Proceedings of 8th International Conference on Software, Knowledge, Information Management and Applications, Paper id. 199 (2014)Google Scholar
  22. 22.
    Gábor A., Tóth G., Stojanovic N., Megyesi C.S.: “D 4.1 Scenario Architecture and Component Specification”, PISCES deliverable (2014)Google Scholar
  23. 23.
    West, K.L.: mHealth: A Comprehensive and Contemporary Look at Emerging Technologies in Mobile Health (2014)Google Scholar
  24. 24.
    mHealth: New horizons for health through mobile technologies: second global survey on eHealth. World Health Organization. http://www.who.int/goe/publications/goe_mhealth_web.pdf (retrieved 22 March 2015) (ISBN 978 92 4 156425 0)
  25. 25.
    Wolf, J.A., Moreau, J.F., Akilov, O., Patton, T., English, J.C., Ho, J., Ferris, L.K.: Diagnostic inaccuracy of smartphone applications for melanoma detection. JAMA Dermatol. 149(4), 422–426 (2013)CrossRefGoogle Scholar
  26. 26.
    European Commission: The 2015 Ageing Report (2015). (ISSN 0379-0991)Google Scholar
  27. 27.
    Go, A.S., Mozaffarian, D., Roger, V.L., Benjamin, E.J., Berry, J.D., Borden, W.B., Turner, M.B.: On behalf of the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics — 2013 update: a report from the American Heart Association. Circulation, 127(1), e1–e240 (2013)Google Scholar
  28. 28.
    Nolan, D.: NHS hiring drive hurts Hungary but India can cope with doctor exodus, in: The Guardian (2015). http://www.theguardian.com/society/2015/jan/28/-sp-hungary-india-doctors-nhs-recruitment-drive-effect
  29. 29.
    Whitbourne, S.K., Martin, J. (eds.): The Wiley-Blackwell handbook of adulthood and aging, vol. 40. Wiley New York (2011)Google Scholar
  30. 30.
    2 Billion Consumers Worldwide to Get Smart(phones) by 2016. http://www.emarketer.com
  31. 31.
    Maier, R.: Heart Disease Statistics (2014). http://www.healthline.com/health/heart-disease/statistics#1
  32. 32.
    Molnár, B., Benczúr, A.: Facet of modeling web information systems from a document-centric view. Int. J. Web Portals (IJWP) 5(4), 57–70 (2013). IGI GlobalCrossRefGoogle Scholar
  33. 33.
    Molnár, B.: Applications of hypergraphs in informatics: a survey and opportunities for research. Annales universitatis scientiarum budapestinensis de rolando eotvos nominatae sectio computatorica 42, 261–282 (2014)MathSciNetzbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Corvinus University of BudapestBudapestHungary
  2. 2.Corvinno Technology Transfer Center Ltd.BudapestHungary

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