MACHINE LEARNING ENABLED DETECTION OF INFUSION PUMP MISLOADS

A method may include capturing, by a camera at an infusion pump, one or more images of the pump loaded with an infusion set. A machine learning model may be applied to the images to detect nonconformities that may be present in the images of the pump loaded with the infusion set. Examples of nonconf...

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Bibliographische Detailangaben
Hauptverfasser: BURGESS, BRENDAN JOHN, SUBRAMANIAN, RAMKUMAR, ABAL, DANIEL
Format: Patent
Sprache:eng ; fre
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Beschreibung
Zusammenfassung:A method may include capturing, by a camera at an infusion pump, one or more images of the pump loaded with an infusion set. A machine learning model may be applied to the images to detect nonconformities that may be present in the images of the pump loaded with the infusion set. Examples of nonconformities include a misload of the intravenous set in which an upper fitment, a lower fitment, and/or a tubing of the intravenous set is misplaced within the pump. In response to an output of the machine learning model indicating a presence of a nonconformity in the one or more images of the pump loaded with the infusion set, a corrective action may be performed. For example, the pump may be prevented from performing an infusion and a message identifying the nonconformities may be generated. Related methods and articles of manufacture are also disclosed.