Reducing Alarm Fatigue

Hum-Dinger aims to manage alarms by providing suggestions to medical care practitioners to adjust alarm settings on monitoring devices and other actions so that alarm fatigue is minimized. We use an adaptive aiding approach where adaption is based on machine learning. The product integrates continuous monitor data from distributed monitors and clinical data from the EHR database using the HL7 protocol. The actions taken, including dismissal of alarms, are the machine learning training labels. Gamification is used to interject performance nudges for medical care practitioners that exploits and drives stronger man-machine symbiosis.