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Authors: Peng Zhang 1 ; Marcelino Rodriguez-Cancio 2 ; Douglas Schmidt 1 ; Jules White 1 and Tom Dennis 3

Affiliations: 1 Vanderbilt University, United States ; 2 University of Rennes 1, France ; 3 ZH Solutions, United States

Keyword(s): Machine Learning, Deep Learning, Data Mining, Hospital and Healthcare, Hand Hygiene Compliance, Re-admissions.

Abstract: Hospital Acquired Infections (HAIs) are a global concern as they impose significant economic consequences on the healthcare systems. In the U.S. alone, HAIs have cost hospitals an estimated $9.8 billion a year. An effective measure to reduce the spread of HAIs is for Health Care Workers (HCWs) to comply with recommended hand hygiene (HH) guidelines. Unfortunately, HH guideline compliance is currently poor, forcing hospitals to implement controls. The current standard for monitoring compliance is overt direct observation of hand sanitation of HCWs by trained observers, which can be time-consuming, costly, biased, and sporadic. Our research describes a hand hygiene compliance monitoring app, Hygiene Police (HyPo), that can be deployed as a service to alleviate the manual effort, reduce errors, and improve existing compliance monitoring practice. HyPo exploits machine learning analyses of handwashing compliance data from a 30-bed intensive care unit to predict future compliance characte ristics. Based on the results, HyPo then provides HWCs with timely feedback and augments the current monitoring approach to improve compliance. (More)

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Paper citation in several formats:
Zhang, P.; Rodriguez-Cancio, M.; Schmidt, D.; White, J. and Dennis, T. (2017). Discussions of a Preliminary Hand Hygiene Compliance Monitoring Application-as-a-service. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - SmartMedDev; ISBN 978-989-758-213-4; ISSN 2184-4305, SciTePress, pages 537-544. DOI: 10.5220/0006293705370544

@conference{smartmeddev17,
author={Peng Zhang. and Marcelino Rodriguez{-}Cancio. and Douglas Schmidt. and Jules White. and Tom Dennis.},
title={Discussions of a Preliminary Hand Hygiene Compliance Monitoring Application-as-a-service},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - SmartMedDev},
year={2017},
pages={537-544},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006293705370544},
isbn={978-989-758-213-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - SmartMedDev
TI - Discussions of a Preliminary Hand Hygiene Compliance Monitoring Application-as-a-service
SN - 978-989-758-213-4
IS - 2184-4305
AU - Zhang, P.
AU - Rodriguez-Cancio, M.
AU - Schmidt, D.
AU - White, J.
AU - Dennis, T.
PY - 2017
SP - 537
EP - 544
DO - 10.5220/0006293705370544
PB - SciTePress