Abstract
This chapter presents an analysis of the infrastructure of big data, the elements that make it up, the types of data that define it, and the characteristics that distinguish it as a child: Volume, speed, variety, veracity and volatility. In a concrete way, different applications based on this architecture are analyzed, from which it is possible to find health, internet of things, among other applications. A description of the data used in health is performed, which is possible to manage effectively with a model based on big data. Finally, the proposal of a health model for Mexico is presented, based on an infrastructure that allows the integration and sharing of information, the administration of medical histories, public health and research data in the health area, all of them as a basis to carry out data analysis, to support decision-making and to serve as a basis for the creation of Institutional health programs. It concludes with evidence of the significant contribution that a big data model can give to the health sector in Mexico.
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References
Salazar, A. (2016). Infraestructura para big data. Revista Digital Universitaria. Retrieved September, 2017, from http://www.revista.unam.mx/vol.17/num11/art77/.
Gantz, J. The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east. Retrieved August, 2017, from https://www.emc.com/collateral/analyst-reports/idc-the-digital-universe-in-2020.pdf.
López-Messa, J. Tipos de big data. Revista Electrónica de Medicina Intensiva. Retrieved August, 2017, from http://www.medicina-intensiva.com/2017/07/A232.html.
Arvizu, L. Big Data Lo que las empresas esperabas, México Forbes. Retrieved January, 2017, from https://www.forbes.com.mx/big-data-lo-que-las-empresas-esperaban/.
Furht, B., & Villanustre, F. (2016). Introduction to big data. Big data technologies and applications (pp. 3–11). Cham: Springer.
Gagnon, C., John, E., & Theunissen, R. (2017). Organizational health: A fast track to performance improvement.
Rajaraman, V. (2016). Big data analytics. Resonance, 21, 695–715.
Oussous, A., et al. (2017). Big Data technologies: A survey. Journal of King Saud University-Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2017.06.001.
Stimmel, C. L. (2014). Big data analytics strategies for the smart grid. CRC Press.
Chen, C. P., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on big data. Information Sciences, 275, 314–347.
Namblar, Bhardwaj, Sethi, & Vargheese. A look at challenges and opportunities of big data analytics in healthcare. In 2013 IEEE International Conference of Big Data, IEEE (pp. 17–22).
Langkafel, P. (2016). Big data in medical science and healthcare management: Diagnosis, therapy, side effects. De Gruyter.
Koppers, B., & Thorogood, A. (2017). Ethics and big data in health. Current Opinion in Systems Biology, 4, 53–57.
Ramirez, M., Ramirez, H., Osuna, N., Salgado, M., & Alanis, A. (2017). In Big Data and Health “Clinical Records”, Innovation in Medicine and Healthcare 2017, Smart Innovation, Systems and Technologies. Springer.
Martínez, H. J. (2006). Historia Clínica, Sistema de Información Científica Redalyc Red de Revistas Científicas de América Latina y el Caribe, España y Portugal, vol. XVII, núm. 1, pp. 57–68.
Bonnie, F., Ellen, M., & Tobi, S. (2012). Big data in healthcare hype and hope. Dr. Bonnie 360° business development for digital health. Retrieved June, 2017, from http://es.scribd.com/doc/107279699/Big-Data-in-Healthcare-Hype-and-Hope.
Riskin, D. The next revolution in healthcare. Retrieved June, 2017, from en Forbes. www.forbes.com/sites/singularity/2012/10/01/the-next-revolution-in-healthcare.
Castillo, Y. L. (2017). Big Data, clave en el cuidado de la salud, Saludiario el Medico para Médicos. Retrieved June, 2017, from http://saludiario.com/big-data-clave-en-el-cuidado-de-la-salud-estudio/.
Secretaria de Salud de Baja California, Tu Salud Promoción de la Salud. Retrieved January, 2017, from http://www.saludbc.gob.mx/tu-salud.
Organización Mundial de la Salud. Datos del Observatorio mundial de la salud. Retrieved January, 2017, from http://www.who.int/gho/es/pdf.
e-growing online and mobile marketing, Evolución del mercado de las apps hasta 2021. Retrieved August, 2017, from http://e-growing.com/evolucion-mercado-de-las-apps-2021/.
The APP inteligence, Informe 50 mejores APPS de salud en Español. Retrieved August, 2017, from http://boletines.prisadigital.com/Informe-TAD-50-Mejores-Apps-de-Salud.pdf.
QuintilesIMS Formerly Known as IMS Health. Retrieved August, 2017, http://www.imshealth.com/en/thought-leadership/quintilesims-institute#.
Instituto de Ingeniería del conocimiento, Big Data en Salud. Retrieved September, 2017, from http://www.iic.uam.es/soluciones/salud/.
Medina Alejandro, A México le urge el Expediente Clínico Electrónico Universal, Forbes México.
Ramírez, A., Abraham, Retos del Big Data para el sector salud. Retrieved September, 2017, from https://www.the-emag.com/theitmag/blog/2017/04/14/retos-del-big-data-sector-salud.
Secretaria de Salud en México, NORMA Oficial Mexicana, NOM-168-SSA1-1998, Del Expediente Clinico. Retrieved September, 2017, from http://www.salud.gob.mx/unidades/cdi/nom/168ssa18.html.
Secretaria de Salud en México, NORMA Oficial Mexicana NOM-024-SSA3-2012. Retrieved September, 2017, from http://www.dgis.salud.gob.mx/descargas/pdf/NOM-024-SSA3-2012.pdf.
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Ramírez, M.R., Moreno, H.B.R., Rojas, E.M. (2018). Big Data in HealthCare. In: Roy, S., Samui, P., Deo, R., Ntalampiras, S. (eds) Big Data in Engineering Applications. Studies in Big Data, vol 44. Springer, Singapore. https://doi.org/10.1007/978-981-10-8476-8_7
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DOI: https://doi.org/10.1007/978-981-10-8476-8_7
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