Transcript – Algorithms for Opioid use Prediction Derived from Daily Computer Use Patterns of Office Workers

Our product is a unit of hardware and software embedded sensors at a computer workstation to improve employee well-being without the problems of battery life or user compliance. Companies know that employees with great well-being are a competitive advantage. As a result, our product offers them the opportunity to help employees using our patent pending kinetic analytics to detect behavior, anomalies and deviations in temperature, galvanic skin response, heart rate and heart rate variability within the context of typing and mousing, accuracy and speed in order to determine the likelihood of that employee having physical or emotional health issues. This context and data feeds into an algorithm that over time creates a digital health fingerprint for each user and is able to inform them of any red flags while making adaptive recommendations for their maximum health and productivity.