EVO To Make Its Configurable 'Nudge' Theory Platform Available For Wearables And Wellness Research
ATLANTA, Oct. 10, 2017 /PRNewswire/ -- EVO?, a leading provider of predictive analytics technology to the insurance and healthcare industries, today announces it is providing scientists with access to its wearable device and engagement platform for academic and non-commercial research purposes. The EVO?(TM) platform combines data analytics with behavioral economics' Nobel Prize-winning "Nudge" theory to help users adopt better behaviors and habits that lead to improved health and wellness over time.
"Over the last few years, we have witnessed first-hand the potential lifesaving value of wearable devices," says J. Patrick Bewley, CEO of EVO? "but historically, integrating this data into research protocols has been overly complex. This shouldn't be a barrier for scientists who want to research potential health uses from these devices."
To help simplify the availability and integrality of such data, the company is making the EVO?(TM) platform available to scientists for non-commercial and academic research.
Providing True Wellness Insights, Not Just Data
Using biometrics gathered from a user's mobile phone and/or wearable device, the EV?(TM) platform combines the best of data and behavioral science to deliver a personalized experience. It harnesses the power of 60+ billion human physiological, psychological and behavioral data points. By analyzing these data points and using the Nobel Prize-winning concept from the behavioral economics of a "nudge," EV?(TM) encourages users on their own unique wellness journey while enabling rich longitudinal data streams for researchers.
EV?(TM) is available for download in the Apple Store and Google Play by searching "EVO-BCA." Once downloaded, researchers can enter the code "INOV8" to register their subjects. To learn more or download the app, visit http://evo.science.
EV?(TM) integrates natively with the Garmin family of devices as well as Fitbit and Apple Health (including Apple Watch, iPhone, and other Apple Health contributing data sources) to better assess a comprehensive view of a user's daily activity. The app uses this data to encourage and assist users in achieving daily goals in creating better behaviors and habits; leading to improved health and wellness over time. Behavioral and Biometric data streams are available to scientists with subjects participating in the program via a separate login. Researchers can also customize the over 8,000 artificial intelligence rules to adapt to their research protocol.
"The EV? app is a culmination of almost 5 years of research and development around connected health data, working with global insurance, pharma, universities, senior living organizations and others," adds Bewley.
Research inquires can be made via email to research@evo.science. EV?(TM) is funded by Edison Partners.
Shining Brightly as Cutting-Edge Innovator
EV? will showcase its leading predictive analytics capabilities at the 10(th) annual Venture Atlanta (www.ventureatlanta.org), the South's premier technology innovation and investor conference, Oct. 11-12. The company is among 35 rising tech stars selected to present to a sold-out crowd of over 900 expected attendees and nearly 150 funds from across the country. The signature event has earned a reputation for consistently identifying tomorrow's cutting-edge companies.
About EVO?
EVO?, previously Big Cloud Analytics, leads the market in real-time predictive analytics technology for the IoT enabled biometric data. The company was recognized in 2015 by Intel as a Health Innovation Award Finalist and by CIO Review as one of the Top 100 most promising companies in Big Data globally. Its newest product, the EVO?(TM) mobile app (available for download at the Apple Store and Google Play) combines the best of data and behavioral science to deliver a personalized and realistic wellness improvement experience.
EVO? serves life and health insurance and other healthcare organizations, such as hospitals, pharma, senior living organizations, as well as employers for population health management. Learn more at http://evo.science.
Media Contact:
Brenda Becker
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404-214-0722 x115
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SOURCE EVO
