Time of Death: New AI Technology Tries To Predict and Prevent Death

If you could know the exact day you die, would you want to? The question may not be as far-fetched as you might think, thanks to a new algorithm designed to analyze digital medical records and compare them to real-time health data to calculate the risk of impending health events. The FDA cleared technology from Excel Medical, known as the WAVE Clinical Platform, is being billed as the world’s first patient surveillance and predictive algorithm platform. The device was designed as an always-on remote monitoring platform that can track real-time data, such as vital signs, and use that information in conjunction with the user’s medical history and family medical history to calculate the risk of a potentially fatal impending health event. So far the platform has shown the ability to predict potentially deadly events such as a heart attack or respiratory failure as early as six hours before they occur. The technology works with an app to send alerts to the user, as well as to an on-call doctor through a smartphone app when a potentially fatal event is detected. In the technology’s first control group study, the WAVE platform was able to predict six unexpected deaths and produce actionable alerts to prevent death. “Everything we do as an organization aligns toward and supports the goal of eradicating unexpected deaths in hospitals,” Excel Medical GM Lance Burton said in a press release. “People may say zero unexpected deaths is unattainable. We say anything other tha...
Source: MDDI - Category: Medical Devices Authors: Tags: Digital Health Source Type: news