36 min

IoT for Health & Social Care: Predictive Analytics & A IoT Leaders

    • Technology

Current technology tells us when something has just gone wrong. What if we knew that something was going wrong before it happened, and we could intervene first? 
IoT could turn at-home healthcare technology from a reactive model into a proactive one — saving countless lives and dollars. 
Peter Kerly, Managing Director at Everon, talked with Nick about how artificial intelligence can build a pattern of daily living and then raise an alert when something goes awry, enabling an early response. 
Join us as we discuss:
Digital solutions in home-based models of carePrivacy in healthcare monitoringHow IoT can shorten hospital stays and improve home healthcare Peter's road trip in a van to deliver ventilators to Ukraine   To hear more interviews like this one, subscribe to IoT Leaders on Apple Podcasts, Spotify, or your preferred podcast platform. 
Listening on a desktop & can’t see the links? Just search for IoT Leaders in your favorite podcast player.

Hosted on Acast. See acast.com/privacy for more information.

Current technology tells us when something has just gone wrong. What if we knew that something was going wrong before it happened, and we could intervene first? 
IoT could turn at-home healthcare technology from a reactive model into a proactive one — saving countless lives and dollars. 
Peter Kerly, Managing Director at Everon, talked with Nick about how artificial intelligence can build a pattern of daily living and then raise an alert when something goes awry, enabling an early response. 
Join us as we discuss:
Digital solutions in home-based models of carePrivacy in healthcare monitoringHow IoT can shorten hospital stays and improve home healthcare Peter's road trip in a van to deliver ventilators to Ukraine   To hear more interviews like this one, subscribe to IoT Leaders on Apple Podcasts, Spotify, or your preferred podcast platform. 
Listening on a desktop & can’t see the links? Just search for IoT Leaders in your favorite podcast player.

Hosted on Acast. See acast.com/privacy for more information.

36 min

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