Building technology that helps care teams stay connected to people beyond clinical settings, using everyday devices and clinically validated AI.
Research trials conducted at the National Facility for Human Robot Interaction Research at the University of NSW, have shown accuracy of our patented algorithm.
Find the publication on the following link: Effectiveness of a Smartwatch App in Detecting Induced Falls: Observational Study (PDF). Published in JMIR Formative Research, 21.03.2022.
Study conducted at UNSW. More information here: Validation study of My Medic Watch’s fall detection algorithm that helped to build scientific credibility and user confidence. Watch the video.
We are amongst the first companies in the world to conduct medical trials in this field. Currently we are conducting two medical trials at St Vincent’s and Westmead Hospitals to measure the accuracy of alerting caregivers, in the detection of falls and detection when a seizure-like movement occurs.
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Surveillance à distance continue qui offre aux équipes de soins de santé une visibilité entre les visites et permet une intervention plus rapide et proactive.
Détection basée sur l'IA utilisant une smartwatch connectée pour détecter les chutes, les crises d'épilepsie et les événements cardiaques.
Surveillance à distance continue qui offre aux équipes de soins de santé une visibilité entre les visites et permet une intervention plus rapide et proactive.
Application intelligente alimentée par l'IA installée sur les montres connectées commerciales pour détecter des épisodes médicaux tels que les chutes, les crises et les événements cardiaques
