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A Novel Automated System for Hospital Acquired Infection Monitoring and Prevention

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Service-Oriented Computing – ICSOC 2020 Workshops (ICSOC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12632))

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Abstract

According to the World Health Organization (WHO), 1.7 million people suffer from hospital acquired infections each year in the United States alone, which accounts for 99,000 deaths. The most prominent reason for spreading these infections is poor hand hygiene compliance in hospitals. This paper proposes an automated system which can monitor and enforce proper hand hygiene compliance in hospitals as stipulated by WHO. The proposed system is a multi-module system based on microcontroller and multiple sensors that track hand hygiene compliance throughout a hospital, sends real-time compliance alerts to staff for immediate corrective actions, and provides automated compliance report generation for the hospital staff. This system is based on four modules, one module is worn by staff, it provides staff’s unique ID to other modules and receives real time hand hygiene compliance alerts. The other three modules detect staff and use unique algorithms to do detailed hand hygiene compliance checks at patient beds, sinks, and alcohol dispensers. A custom software was developed to control all modules and upload compliance data to the central server. This system makes hospital hand hygiene compliance monitoring and tracking fully automated, real-time, and scalable. Once deployed it has the potential to significantly reduce the rate of infections and save many lives. With minor changes to the algorithms this system can find applications in other areas such as restaurants, shops, and households for hand hygiene monitoring.

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The author would like to acknowledge and thank teachers, mentors, and parents for their support during the research.

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Shrimali, S. (2021). A Novel Automated System for Hospital Acquired Infection Monitoring and Prevention. In: Hacid, H., et al. Service-Oriented Computing – ICSOC 2020 Workshops. ICSOC 2020. Lecture Notes in Computer Science(), vol 12632. Springer, Cham. https://doi.org/10.1007/978-3-030-76352-7_47

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  • DOI: https://doi.org/10.1007/978-3-030-76352-7_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76351-0

  • Online ISBN: 978-3-030-76352-7

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