Abstract
Healthcare associated infections (HAI), or infections that are acquired in health-care settings are the most common detrimental events in health-care delivery worldwide. Millions of patients are affected by HAI worldwide each year, leading to high mortality rates and financial losses. Out of every 100 patients that are hospitalized at a particular time, 7 in developed and 10 in developing countries will be affected by at least one HAI. These infections are responsible for approximately 2 million cases and around 80,000 deaths per year in developing countries. The prevalence of HAI in rural areas is more frequent and acute than that of in the urban areas. One chief reason: “Connectivity gap”. Unlike many urban healthcare facilities where the providers usually have Dedicated Internet Access (DIA) with greater bandwidth and better reliability to aid acute services, the healthcare facilities in rural areas have low or no connectivity and are less equipped to prevent containment of HAI. This research paper provides an innovative and low-cost alternative to overcome “Connectivity” obstacle by developing de-centralized intelligent sensor network, based on MQTT, that bring connected intelligence to non-connected healthcare facilities. Thereby overcoming “Connectivity gap” barrier. The paper presents a prototype solution design, its application and a few experimental results.
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Notes
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Reducing Potentially Excess Deaths from the Five Leading Causes of Death in the Rural United States—https://www.cdc.gov/mmwr/volumes/66/ss/ss6602a1.htm?s_cid=ss6602a1_w.
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When hospitals infect you—https://www.thehindu.com/sci-tech/health/When-hospitals-infect-you/article17289370.ece.
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Committee Machines—https://pdfs.semanticscholar.org/538f/0fa4649f05b522624a4ba58a644c7145263a.pdf.
References
WHO: Patient Safety—Health care-associated infections FACT SHEET. URL: http://www.who.int/gpsc/country_work/gpsc_ccisc_fact_sheet_en.pdf. Accessed 4 Aug 2018
Grant, M.: Study finds a lack of internet access is having a big impact in Southern Indiana, 10 May 2018
Samuels, K., McClellan, M.B., Kaushal, M., Patel, K., Darling, M.: Closing the rural health connectivity gap: how broadband funding can improve care, 1 April 2015
Warshaw, R.: Health disparities affect millions in rural U.S. Communities, 31 Oct 2017
O’Connor A1, Wellenius, G.: Rural-urban disparities in the prevalence of diabetes and coronary heart disease, 2012 Oct; 126(10), 813–20. https://doi.org/10.1016/j.puhe.2012.05.029. Epub 2012 Aug 24
Befort, C.A., Nazir, N., Perri, M.G.: Prevalence of obesity among adults from rural and urban areas of the United States: findings from NHANES (2005–2008), 31 May 2012. https://doi.org/10.1111/j.1748-0361.2012.00411.x
The Center for Disease Control and Prevention: Urban-Rural differences in COPD, 8 March 2018. https://www.cdc.gov/features/copd-rural-areas/index.html
WHO: Hospital Hygiene and Infection control. Accessed 6 Aug 2018. http://www.who.int/water_sanitation_health/medicalwaste/148to158.pdf
Chen, W.-J., Gupta, R., Lampkin, V., Robertson, D.M., Subrahmanyam, N.: Responsive mobile user experience using MQTT and IBM, MessageSight, IBM Corp., Ed. (2014)
Anand, C.: When hospitals infect you, February 12, 2017. URL: https://www.thehindu.com/sci-tech/health/When-hospitals-infect-you/article17289370.ece. Accessed 6 Aug 2018
“Oasis message queuing telemetry transport (mqtt),” OASIS MQTT v3.1.1 (2014)
“Information technology – message queuing telemetry transport (mqtt) v3.1.1,” ISO/IEC 20922:2016 (2016)
Stanford-Clark, A., Truong, H.L.: MQTT for sensor networks (MQTT-SN). http://mqtt.org/new/wp-content/uploads/2009/06/MQTT-SN_spec_v1.2.pdf. Nov 2013
Chen, D., Varshney, P.K.: QoS support in wireless sensor networks: a survey. In: International Conference on Wireless Networks, pp. 227–233 (2004)
Hive MQ – Enterprise MQTT Broker, MQTT Essentials, Web. https://www.hivemq.com/blog/mqtt-essentials-part-1-introducing-mqtt
Stanford-Clark, A.: Urs Hunkeler and Hong Linh Truong, MQTT-S- A Publish/Subscribe Protocol for Wireless Sensor networks, IBM Corp., 2013
Eugster, P.T., Felber, P.A., Guerraoui, R., Kernmarrec, A.-M.: The many faces of publish/subscribe. ACM Comput. Surv. 35(2), 114–131 (2003)
Cabe, B.: ble-uart-to-udp, Github repository. (2017). https://github.com/kartben/ble-uart-to-udp
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Kedari, S., Vuppalapati, J.S., Ilapakurti, A., Vuppalapati, C., Iyer, S., Kedari, S. (2020). Democratization of Intelligent Sensor Network for Low-Connected Remote Healthcare Facilities—A Framework to Improve Population Health & Epidemiological Studies. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_26
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