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| Photo: Cara Livernois |
Cara Livernois, News Writer inform, "A
machine learning, real-time hand hygiene notification system improved
participant adherence to 100 percent, according to a study published
April 9 in the Journal of Hospital Infection."
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| Photo: Clinical Innovation + Technology |
In this study, researchers examined the feasibility
and impact of a real-time machine learning system that provided hand
hygiene notifications.
“Hand hygiene is widely recognized as the most
effective way to reduce the transmission of healthcare-associated
infections,” wrote first author Roel Geilleit and colleagues. “Hand
hygiene compliance needs to be monitored to assess changes in
performance over time. However, mainly due to limitations with the
monitoring, it is difficult to obtain high quality evidence on the
effectiveness of hand hygiene interventions. Direct, discreet
observation of hand hygiene compliance is considered the gold standard.
However, less than 1.5 percent of all hand hygiene opportunities are
observed in practice because of the high demands on manpower resources.”
Researchers developed an infrared-guided sensor system to notify clinicians to perform hand hygiene before meeting with patients.
Read more... Researchers developed an infrared-guided sensor system to notify clinicians to perform hand hygiene before meeting with patients.
Source: Clinical Innovation + Technology
