Abstract
As the number of patients in hospitals constantly grows, the need for hospital transfers is directly affected. Hospital transfers can be required for several reasons but they are most commonly made when the diagnostic and therapeutic facilities required for a patient are not available locally. Transferring a critical patient between hospitals is commonly associated with risk of death and complications. At the same time, advances in wearable technologies and health applications offer new possibilities to support healthcare. This raises the question: How can we improve the monitoring of vital signs of transported patients through use of information technology and communication services? This paper presents a cloud-based mobile system to support decision-making in the transportation of patients in critical condition. The Rapid Emergency Medicine Score (REMS) scale was used as an outcome variable, being a useful scale to assess the risk profile of critical patients requiring transfers between hospitals. The platform is the result of research and development work performed during the last two years.
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References
Bahl, P., Han, R.Y., Li, L.E., Satyanarayanan, M.: Advancing the state of mobile cloud computing. In: Proceedings of the Third ACM Workshop on Mobile Cloud Computing and Services, pp. 21–28. ACM (2012)
Berkelman, R.L., Sullivan, P., Buehler, J.W., Detels, R., Beaglehole, R., Lansing, M., Gulliford, M., et al.: Public health surveillance. In: Oxford Textbook of Public Health, 5th edn. The Methods of Public Health, vol. 2, pp. 699–715. Oxford University Press, Oxford (2009)
Bourouis, A., Feham, M., Bouchachia, A.: Ubiquitous mobile health monitoring system for elderly (umhmse) (2011). arXiv preprint arXiv:1107.3695
Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25(6), 599–616 (2009)
Carrillo, B.M.J.: Deterioro fisiopatológico y mortalidad, de los pacientes adultos sometidos a traslado interhospitalario a Unidades de Paciente Crítico por móviles del Servicio de Atención Médica de Urgencia del área Metropolitana, Santiago de Chile. Ph.D. thesis, Universidad de Sao Pablo (2015)
Carrillo, B.M.J., Jerez, C., Cortéz, A.: Traslado interhospitalario samu área metropolitana: En búsqueda de una mejor calidad de atención. FONIS SA12I2045 (2014)
Carrillo, B.M.J., Urrutia S, M.T.: Perfil de riesgo de pacientes adultos sometidos a traslado secundario por móviles avanzados del sistema de atención médica de urgencia del Área metropolitana. Revista médica de Chile 140, 1297–1303 (October 2012)
Chen, S.K., Kao, T., Chan, C.T., Huang, C.N., Chiang, C.Y., Lai, C.Y., Tung, T.H., Wang, P.C.: A reliable transmission protocol for zigbee-based wireless patient monitoring. IEEE Trans. Inf. Technol. Biomed. 16(1), 6–16 (2012)
Chiauzzi, E., Rodarte, C., DasMahapatra, P.: Patient-centered activity monitoring in the self-management of chronic health conditions. BMC Med. 13(1), 77 (2015)
Chu, Y., Ganz, A.: A mobile teletrauma system using 3g networks. IEEE Trans. Inf. Technol. Biomed. 8(4), 456–462 (2004)
Dobkin, B.H., Dorsch, A.: The promise of mhealth daily activity monitoring and outcome assessments by wearable sensors. Neurorehabil. Neural Repair 25(9), 788–798 (2011)
Mobile Medical Applications: Guidance for Industry and Food and Drug Administration Staff. USA: Food and Drug Administration (2013)
Gállego, J.R., Hernández-Solana, Á., Canales, M., Lafuente, J., Valdovinos, A., Fernández-Navajas, J.: Performance analysis of multiplexed medical data transmission for mobile emergency care over the umts channel. IEEE Trans. Inf. Technol. Biomed. 9(1), 13–22 (2005)
Imhoff, B.F., Thompson, N.J., Hastings, M.A., Nazir, N., Moncure, M., Cannon, C.M.: Rapid emergency medicine score (rems) in the trauma population: a retrospective study. BMJ Open 4(5), e004738 (2014)
Neyem, A., Ochoa, S.F., Pino, J.A., Franco, R.D.: A reusable structural design for mobile collaborative applications. J. Syst. Softw. 85(3), 511–524 (2012)
Olsson, T., Lind, L.: Comparison of the rapid emergency medicine score and apache ii in nonsurgical emergency department patients. Acad. Emerg. Med. 10(10), 1040–1048 (2003)
Pavlopoulos, S., Kyriacou, E., Berler, A., Dembeyiotis, S., Koutsouris, D.: A novel emergency telemedicine system based on wireless communication technology-ambulance. IEEE Trans. Inf. Technol. Biomed. 2(4), 261–267 (1998)
Rahimi, M.R., Ren, J., Liu, C.H., Vasilakos, A.V., Venkatasubramanian, N.: Mobile cloud computing: a survey, state of art and future directions. Mobile Netw. Appl. 19(2), 133–143 (2014)
Scully, C.G., Lee, J., Meyer, J., Gorbach, A.M., Granquist-Fraser, D., Mendelson, Y., Chon, K.H.: Physiological parameter monitoring from optical recordings with a mobile phone. IEEE Trans. Biomed. Eng. 59(2), 303–306 (2012)
Sethi, D., Subramanian, S.: When place and time matter: how to conduct safe inter-hospital transfer of patients. Saudi J. Anaesth. 8(1), 104 (2014)
Son, D., Lee, J., Qiao, S., Ghaffari, R., Kim, J., Lee, J.E., Song, C., Kim, S.J., Lee, D.J., Jun, S.W., et al.: Multifunctional wearable devices for diagnosis and therapy of movement disorders. Nat. Nanotechnol. 9(5), 397–404 (2014)
Triantafyllidis, A.K., Koutkias, V.G., Chouvarda, I., Maglaveras, N.: A pervasive health system integrating patient monitoring, status logging, and social sharing. IEEE J. Biomed. Health Inform. 17(1), 30–37 (2013)
van der Veen, J.S., van der Waaij, B., Meijer, R.J.: Sensor data storage performance: Sql or nosql, physical or virtual. In: 2012 IEEE 5th International Conference on Cloud Computing (CLOUD), pp. 431–438. IEEE (2012)
Yang, C.C., Hsu, Y.L.: A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors 10(8), 7772–7788 (2010)
Acknowledgements
This work was partially supported by VRI-PUC Interdisciplinary Grant No. 03/2013, FONIS 2014 SA 12I2045 CONICYT, and SAMU. Finally, we would like to give special thanks to Mr. Claudio Jerez, CEO of TEVEUK Ltd.
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Neyem, A., Valenzuela, G., Risso, N., Rojas-Riethmuller, J.S., Benedetto, J.I., Carrillo, M.J. (2015). A Cloud-Based Mobile System for Improving Vital Signs Monitoring During Hospital Transfers. In: García-Chamizo, J., Fortino, G., Ochoa, S. (eds) Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information. UCAmI 2015. Lecture Notes in Computer Science(), vol 9454. Springer, Cham. https://doi.org/10.1007/978-3-319-26401-1_44
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