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CleanHands: an integrated monitoring system for control of hospital acquired infections

Published:13 April 2015Publication History

ABSTRACT

A leading cause of mortality of hospitalized patients are hospital acquired infections (HAI). Unclean hands of healthcare personnel (HCP) are the most common factor contributing to HAI, but their strict compliance to hand hygiene protocols is difficult to supervise. In this work, we propose CleanHands: a simple, low-cost and scalable monitoring and alerting system to ensure adequate thoroughness of disinfection. CleanHands uses a combination of low-cost Bluetooth low energy (BLE) beacon tags and mobile phones for HCP tracking. It integrates infection control models and state-following algorithms for alarming in the event of noncompliance to hand hygiene. Our preliminary experiments in a mockup, small scale intensive care unit (ICU) facility shows promising results with less than 5% false positives.

References

  1. Bluetooth SIG: Specification Adopted Documents. https://www.bluetooth.org/en-us/specification/adopted-specifications.Google ScholarGoogle Scholar
  2. CC2540. http://www.ti.com/product/cc2540l.Google ScholarGoogle Scholar

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  1. CleanHands: an integrated monitoring system for control of hospital acquired infections

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        cover image ACM Conferences
        IPSN '15: Proceedings of the 14th International Conference on Information Processing in Sensor Networks
        April 2015
        430 pages
        ISBN:9781450334754
        DOI:10.1145/2737095

        Copyright © 2015 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 13 April 2015

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        Overall Acceptance Rate143of593submissions,24%

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