Data Cubed Takes Second-Place in Robert Wood Johnson Foundation Opioid Challenge For Video Game App that Fights Addiction

BROOKLYN, N.Y., Sept. 17, 2018 /PRNewswire/ -- Data Cubed, a life-sciences technology company, won second place in the Robert Wood Johnson Foundation Opioid Challenge for its Resilience IQ (ResQ) platform, the company announced today at the 12^th Annual Health 2.0 Conference in Santa Clara, California. The app highlights the use of video game technology to help prevent relapse in people recovering from opioid addiction. It was selected from among 97 entrants.

The ResQ app mobilizes an individual's social support network to intervene at times when the risk of relapse is greatest through a novel propriety method that taps into big data. It was awarded the position by a panel of judges in the Opioid Challenge, a call to innovation intended to find technology-enabled tools to support and connect individuals affected by opioid addiction. The cash prize was $15,000. The company plans to use the funds to help make the ResQ app available in the Apple and Google app stores in the coming months.

In the final round of the competition, three entrants competed in a live pitch presentation contest before the judges at the Health 2.0 Conference. The winners were awarded cash prizes and promotional opportunities to showcase their top-ranking solutions and gain visibility in the health tech space.

"We are highly honored to be selected as a finalist in this important competition," said Paul Glimcher, the Chief Executive Officer of Data Cubed. "The opioid crisis has evolved into one of the darkest chapters in the history of American public health. This competition highlights the fact that technology can play a key role in supporting recovery. With the right collection tools, such as the ResQ app, it is possible for a patient and his/her close supporters to monitor progress, assess needs and strengthen the recovery process. ResQ does this by using clinical-grade tools to assess vulnerabilities to relapse every day, and lets patients share that data with the people who they feel can help, helping keep individuals on track towards recovery."

ResQ is an application for mobile devices that seeks to better understand people struggling with addiction through the use of surveys and games derived from gold standard clinical assessments and decision-making tasks. It also uses state-of-the-art techniques taken from the video gaming industry for high-levels of user engagement and retention. These include a gamified user experience, a colorful user-friendly dashboard and personalized support resources.  The app's algorithms prompt people in recovery and their supporters with key social messages and behavioral nudges.

Of the roughly 10 million Americans struggling with opioid addiction, perhaps 1.2 million are in treatment programs, and even those who are in treatment typically have limited contact with clinicians. The ResQ app offers daily, ongoing support for those struggling with addiction and can work in conjunction with other treatment options.    

The winner of the competition was Sober Grid. The third-place position was occupied by HashTag.

About Data Cubed

Data Cubed is a pioneering healthcare technology company with the power to unlock the mysteries of what it is to be human.  With colorful apps, engaging games, illuminating surveys and keen wearable and in-home sensors, Data Cubed collects accurate real-world data that is relevant and actionable, tailored to everything from patient support to clinical trials. Its products can also optimize patient health and compliance. With Data Cubed as a partner, organizations can select just what they need from a wealth of information to help create or test effective medications and precisely timed interventions, help patients stay on track and develop new research strategies. By tapping into what makes humans human, Data Cubed is changing how healthcare approaches big data to create a healthier world.

Find out more about Data Cubed and the ResQ app by visiting datacubed.com. Follow Data Cubed on LinkedIn and Twitter @Data_Cubed.

SOURCE Data Cubed