Six digital health startups have been selected as finalists in the first Mayo Clinic THINK BIG Challenge and will compete on Oct. 1 at Transform 2015 for two $50,000 awards.
Sponsored by Mayo Clinic Center for Innovation (CFI), Mayo Ventures and AVIA Health Innovation, the Mayo Clinic THINK BIG Challenge celebrates innovative ideas in two areas:
– Got Health – promoting health maintenance and prevention
– I Am Not My Disease – helping people with chronic illnesses live better, productive lives
The six finalists will compete in a live stage presentation in Rochester, Minn. before attendees of Transform 2015, an international gathering of thought leaders working together to shape the future of health and health care. Transform attendees, voting on their smart phones, will cast the deciding votes to select two winners, one in each category.
Finalists of the Mayo Clinic THINK BIG Challenge and their innovations, are:
Got Health – promoting health maintenance and prevention
Care at Hand, San Francisco, CA and Rockwell, MD
Evidence-based smart survey and analytics platform that predicts and prevents hospitalizations using non-clinical workers.
Dātu Health, Boulder, CO
Dātu is a digital health company headquartered in Boulder, Colorado. We have developed a digital platform for engaging consumers daily in their health with the goal of influencing the biggest driver of adverse health outcomes: people’s everyday behavior. Our platform, which we call a Persuasion Engine, harnesses a growing flood of data – clinical, patient reported and more – to create an experience that is tailored to each person’s unique health goals, lifestyle and motivators. We are embedding in our platform evidence-based behavioral science models that allow us to deliver highly personalized nudges and learn over time the most effective methods for impacting everyday behavior.
Seiva Technologies, Milwaukee, WI
Seiva Technologies manufactures compression garments with embedded sensors and electronics that wirelessly transmit neuromuscular responses anywhere on the body. Our proprietary sensors are precisely located within our garments to ensure exceptional signal detection and are made of unique flexible materials to uphold an individual’s mobility. These signals are communicated to our exclusive software package where the data is analyzed into patterns of optimal performance, understanding of imbalances and overcompensation and dynamic program design.
I am Not My Disease– helping people with chronic illnesses live better, productive lives
Livongo, Mountain View, CA
Livongo Health is reinventing the way we manage chronic conditions by blending the power of technology, real-time information and human support to make life easier for people with chronic conditions. And we’re starting with diabetes. Livongo Health believes we need a fundamentally different approach to change the dynamic with diabetes, slow the rise of this epidemic and bring down costs. We know what must be done to get better results. Start with the person first. Get to know you and provide the information, education, and support that fit in with your life. Simplify managing diabetes. Do away with paper log books, cables to upload, and the need to carry a smart phone to view your numbers. Give the numbers context. The “number” is only one piece of the puzzle. Understanding how you feel and what you’re doing matter, too. Provide peace of mind. Minimize worry about a critical event. A virtual care team is always watching and ready to respond when needed.
physIQ, Chicago, IL
The physIQ VitaLink remote monitoring solution uses passive, sensor-based monitoring and advanced analytics to transform continuous vital sign data into a personalized model of cardiopulmonary physiology — an early warning system for acute care events like heart failure and respiratory exacerbation. By applying machine learning algorithms (FDA 510k clearance issued June 2015), the system “learns” an individual’s physiology, establishes a baseline, and then monitors that physiology relative to the established baseline, indicating subtle variations that can be a precursor to exacerbation. The solution uses FDA-cleared disposable, wearable, “band aid” sensors that capture a continuous multivariate data set including heart rate, respiration rate, and activity. Data sets thus far indicate early warning of HF decompensation 6-17 days in advance of hospitalization.
Wellpepper, Seattle, WA
Wellpepper is a clinically validated platform for digital patient treatment plans. By delivering personalized and actionable task based instructions and providing a remote connection to healthcare professionals, Wellpepper drives over 70 percent patent adherence to treatment plans. Wellpepper has been clinically validated in a randomized clinical study by Boston University’s Center for Neurorehabilitation and is used by leading hospitals in Neurology, Orthopedics, Chronic Disease Management, and Trauma. Wellpepper enables health systems to implement their own care pathways and protocols and collect patient reported outcomes across patients and care plans. Wellpepper delivers patient adherence and satisfaction while lowering costs of care.
