QMedic's NCI contracts and their impact on mHealth
By their very nature, SBIR contracts straddle the worlds of R&D and commercialization. At the heart of these contracts, we are designing new robust platforms for processing and analyzing high-density data from sensors. Whether it's for a clinical researcher running a multi-year physical activity study or a software developer writing a sleep algorithm based upon the latest science, we are providing simple tools to help teams manage, share, and contextualize large sets of sensory data. To this point, studies and algorithms have only been able to handle small data sets. Importantly, the process of managing data, even small data sets, has been highly inefficient. Through our work with NCI, QMedic intends to eliminate the hassles of data management for researchers and clinicians, while making analyses of multi-year sensory data possible across millions of patients.
We also announced a 3-year clinical partnership with Northwestern University's Robert H. Lurie Cancer Center and the Rehabilitation Institute of Chicago. The focus of this partnership is to combine passive sensing tools with clinically validated self-report tools to proactively identify good candidates for cancer rehabilitation services. Patients in remission from cancer frequently experience functional decline in mobility, muscle tissue, mood, sleep, and other human factors, which puts them at greater risk of relapse and co-morbidity. If we can demonstrate how wearable sensing and self-report tools can be used to identify risk factors early, we would then attempt to replicate and scale such an integrated mHealth approach across different disease/rehab categories: stroke, cardio, fall, etc.
QMedic's mission is to build context-aware tools that help caregivers improve care delivery, which is critical to keeping patients out of the hospital and in the home. Over the past few years, there has been a great deal of debate, and probably more hype than substance, about the potential of mobile health. As an industry, the truth is that we're just scratching the surface of what's possible. Sensors are a dime a dozen. The real value of mHealth will come from meaningful and timely contextualization of the data.
We invite your feedback as we move forward!