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Feasibility of a real-time hand hygiene notification machine learning system in outpatient clinics

Geilleit, R, Hen, ZQ, Chong, CY, Loh, AP, Pang, NL, Peterson, GM ORCID: 0000-0002-6764-3882, Ng, KC, Huis, A and de Korne, DF 2018 , 'Feasibility of a real-time hand hygiene notification machine learning system in outpatient clinics' , The Journal of hospital infection, vol. 100, no. 2 , pp. 183-189 , doi: 10.1016/j.jhin.2018.04.004.

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Background: Various technologies have been developed to improve hand hygiene (HH)compliance in inpatient settings; however, little is known about the feasibility of machinelearning technology for this purpose in outpatient clinics.Aim: To assess the effectiveness, user experiences, and costs of implementing a real-timeHH notification machine learning system in outpatient clinics.Methods: In our mixed methods study, a multi-disciplinary team co-created an infraredguided sensor system to automatically notify clinicians to perform HH just before firstpatient contact. Notification technology effects were measured by comparing HHcompliance at baseline (without notifications) with real-time auditory notifications thatcontinued till HH was performed (intervention I) or notifications lasting 15 s (interventionII). User experiences were collected during daily briefings and semi-structured interviews.Costs of implementation of the system were calculated and compared to the currentobservational auditing programme.Findings: Average baseline HH performance before first patient contact was 53.8%. Withreal-time auditory notifications that continued till HH was performed, overall HH performanceincreased to 100% (P P Conclusion: Machine learning technology that enables real-time HH notification provides apromising cost-effective approach to both improving and monitoring HH, and deservesfurther development in outpatient settings.

Item Type: Article
Authors/Creators:Geilleit, R and Hen, ZQ and Chong, CY and Loh, AP and Pang, NL and Peterson, GM and Ng, KC and Huis, A and de Korne, DF
Keywords: Hand hygiene Technology Real-time notification Infection control Automated Compliance
Journal or Publication Title: The Journal of hospital infection
Publisher: W B Saunders Co Ltd
ISSN: 0195-6701
DOI / ID Number: 10.1016/j.jhin.2018.04.004
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Copyright 2018 The Healthcare Infection Society

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