Data Driven Solution to Measure Clinical Outcomes
Our mobile application is able to securely transfer physical health data stored in smartphones to a HIPAA-compliant/encrypted cloud where our team is able to run our proprietary algorithm for data processing. Automated data screening algorithm flags outliers and erroneous entries, which are subsequently removed. Data integrity is continually checked by our expert data scientists.
Data Tells the Story
This is a glimpse of first level data analytics that can be generated using Kinesiometrics. Based on these objective data, we are then able to paint the most accurate and granular picture of a patient’s journey before and after an intervention. This type of novel data visualization allows clinicians to identify critical inflection points and setbacks during a patient’s recovery phase. Such information may serve as an impetus to investigate the etiology of a patient’s decline, and may present opportunities for early intervention to prevent further decline.
Novel Outcome Measures
With Kinesiometrics, we are now able to objectify the amount of patient’s improvement before and after the surgery. In conjunction with subjective patient reported outcomes, the objective patient outcomes can serve as a measuring stick to quantify the benefits of medical interventions.
Machine Based Learning
Artificial Intelligence
Based on thousands of granular objective data, we are building an A.I. that is able to predict one’s physical function after an intervention. A clinician and a patient can then make an informed decision based on objective assessment of an individual patient with unique factors.
Mobile Application Interface
