mHealth: Smart Wearable Devices and the Challenges of a Refractory Context
The development of smart wearable devices has strengthened a new area: mHealth. This is characterized by the use of mobile technologies for the diagnosis, monitoring, and intervention of health conditions. When inserted into the wider universe comprising the Internet of Things, mHealth solutions emerge with real-world applications. The myriad of mHealth-based applications already draws a scenario in which these new technologies will be responsible for changing the current logic of healthcare delivery. Nevertheless, there are numerous challenges for mHealth before its full potential can be realized. The Brazilian context is marked by peculiarities regarding the challenges for the dissemination of mHealth. There are few professionals, resistance to adopting new health technologies, an inexistent regulatory framework, regional inequalities, the absence of guidelines for protecting personal data, and difficulty associated with communication networks. Such aspects are discussed throughout this work together with components relating to the current status of development linked to mHealth.
KeywordsEquipment and supplies Computer storage device Mobile application Literature review Internet of Things
- Adibi, Sasan. 2015. Mhealth: Multidisciplinary verticals. Boca Raton: CRC Press.Google Scholar
- Appelboom, Geoff, Elvis Camacho, Mickey E. Abraham, Samuel S. Bruce, Emmanuel Dumont, et al. 2014. Smart wearable body sensors for patient self-assessment and monitoring. Archives of Public Health 72: 28.Google Scholar
- Ashton, Kevin. 2009. In the real world, things matter more than ideas. RFID Journal. http://www.rfidjournal.com/articles/pdf?4986. Accessed 9 May 2018.
- Biffi, Carlo A., and Ausonio Tuissi. 2017. Stato dell’arte sulle tecniche di produzione additiva per metalli. Metallurgia Italia 1: 5–10.Google Scholar
- BNDES – National Development Bank. 2017. Benchmark de iniciativas e políticas públicas: relatório final. https://www.bndes.gov.br/wps/wcm/connect/site/48fff464-7a3c-442b-98c3-aa4634ad08d8/Relatorio-de-benchmark-fase-1-20170516_Produto_Frente_1_Benchmark_ENTREGA_FORMAL_FinalRevisado.pdf?MOD=AJPERES&CVID=lNGCXmw. Accessed 16 May 2018.
- Buford, Randall Jean, Eric C. Green, and Melanie J. McClung. 2008. A microwave frequency sensor for non-invasive blood glucose measurement. IEEE Sensors Applications Symposium 2008: 4–7.Google Scholar
- Christensen, Clayton M., Richard Bohmer, and John Kenagy. 2000. Will disruptive innovation cure health care? Harvard Business Review 78: 102–112.Google Scholar
- Davenport, Thomas H., and D. J. Patil. 2011. Data scientist: The sexiest job of the 21st century. Harvard Business Review. https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century. Accessed 9 May 2018.
- Evans, Dave. 2011. The Internet of Things: How the next evolution of the internet is changing everything. CISCO. https://www.cisco.com/c/dam/en_us/about/ac79/docs/innov/IoT_IBSG_0411FINAL.pdf. Accessed 9 May 2018.
- Feldman, Arthur M., Helmut Klein, Patrick Tchou, Srinivas Murali, W. Jackson Hall, Donna Mancini, John Boehmer, Mark Harvey, et al. 2004. Use of a wearable defibrillator in terminating tachyarrhythmias in patients at high risk for sudden death: Results of WEARIT/BIROAD. PACE – Pacing and Clinical Electrophy 27: 4–9.CrossRefGoogle Scholar
- Istepanian, Robert S.H., Swamy Laxminarayan, and Constantinos S. Pattichis, eds. 2010. M-Health: Emerging mobile health systems. New York: Springer.Google Scholar
- Jeon, Byungkook, Jundong Lee, and Jaehong Choi. 2013. Design and implementation of a wearable ECG system. International Journal of Smart Home 7: 61–70.Google Scholar
- Jones, V.M., R. Huis in’t Veld, T. Tonis, et al. 2008. Biosignal and context monitoring: Distributed multimedia applications of Body Area Networks in healthcare. IEEE 10th Workshop on Multimedia Signal Processing: 820–825.Google Scholar
- Manyika, James, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs et al. 2011. Big data: The next frontier for innovation, competition, and productivity. McKinsey Glob. Inst. https://bigdatawg.nist.gov/pdf/MGI_big_data_full_report.pdf. Accessed 9 May 2018.
- McKinsey & Company. Internet das Coisas: um plano de ação para o Brasil [Internet]. Brasília; 2016.Google Scholar
- Ministry of Health. 2015. Sistemas de informação da atenção à Saúde: contexto históricos, avanços e perspectivas no SUS. Brasília: Ministry of Health.Google Scholar
- ———. Brazil. 2017. Conjunto Mínimo de Dados. http://datasus.saude.gov.br/noticias/atualizacoes/1033-ministerio-da-saude-avanca-nainformatizacao-do-sus. Accessed 17 Dec 2017.
- Pereira, Tiago. 2017. Cientista de dados: por onde começar em 8 passos. Data Science Academy. http://datascienceacademy.com.br/blog/cientista-de-dados-por-onde-comecar-em-8-passos/. Accessed 9 May 2018.
- POETAS.IT. 2016. IoT: uma estratégia para o Brasil. www.cesar.org.br/poetas.it/visionstatement. Accessed 9 May 2018.
- Porter, Michael E., and Thomas H. Lee. 2013. The strategy that will fix health care. Harvard Business Review. https://hbr.org/2013/10/the-strategy-that-will-fix-health-care. Accessed 9 May 2018.
- Slovensky, Donna J., and Donna Malvey. 2015. Mhealth: Transforming Healthcare. London: Springer.Google Scholar
- West, Darrell. 2012. How mobile devices are transforming healthcare. Brookings Education 18: 1–38.Google Scholar
- WHO – World Health Organization. 2011. MHealth: New horizons for health through mobile technologies. Switzerland: World Health Organization.Google Scholar
- ———. 2015. Density of physicians (total number per 1000 population, latest available year). http://www.who.int/gho/health_workforce/physicians_density/en/. Accessed 16 May 2018.
- Ziemba, Meaghan. 2013. Qardio’s smart, wearable solutions provide users daily, continuous heart and health monitoring. https://www.wirelessdesignmag.com/article/2013/10/qardio-monitoring-system-smarter-healthcare. Accessed 10 May 2018.