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For employers and healthcare organizations to monitor employees, patients, and other individuals

For employers and healthcare organizations to monitor employees, patients, and other individuals at scale for emerging symptoms of COVID-19, deployed in less than a day

Monitor critical symptoms with real-time (< 60 seconds) analysis and escalation to your Human Resources or Care Management teams.

  • Monitor teams of , health care, and mission-critical workers to stop the spread quickly
  • Keep tabs on your most vulnerable seniors and those with chronic conditions that are at higher
  • Monitor those who have been directed to self-quarantine for adherence to tracking and know when someone has completed quarantine
  • Keep your facility-based services focused on critical cases by monitoring suspected cases remotely
  • Enroll thousands of patients quickly
  • Monitor for the key symptoms of COVID-19
  • Provide insight to human resource teams, clinicians, and public health officials on which individuals are demonstrating symptoms
  • Provide insight to human resource teams and public health officials when quarantine has ended with no symptoms present
  • Simple to use — no learning curve or implementation required
  • Deploy in less than a day

Collect and monitor critical symptoms

Collect and monitor critical symptoms with real-time (< 60 seconds) analysis and escalation to your Human Resources or Care Management teams.

  • Body Temperature
  • Oxygen Saturation
  • Difficulty Breathing
  • Cough Frequency

Related CM functions

Get and provide health information

For the individual (patient or non-patient):

  • Provide information on how to request home delivery of thermometer and pulse oximeter, if needed
  • Email with link to provide one-time consent to the program
  • Recurring twice-daily email or text message with simple no-sign-in link to enter biometrics and symptoms

Related CM functions

Front end for covid monitoring app
Illustrations
Covid monitoring with validic solution
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© DRIVER+

DRIVER+ project has received funding from the European Union's 7th Framework Programme for Research,
Technological Development and Demonstration under Grant Agreement (GA) N° #607798