Validic, a Durham, NC-based patient-generated health data integration, and analysis platform, today announced the release of Validic Statistics Engine that will offer new opportunities for patient-generated health data in care delivery and management. The Statistics Engine enables organizations to easily derive individual or population-level trends and anomalies from PGHD.
Making Patent-Generated Health Data (PGHD) Actionable for Clinicians
Beyond optical character recognition, there are many opportunities to make patient-generated health data (PGHD) actionable within the clinical workflow and provide clinicians with the insights they need – at the point of care – to make effective treatment decisions. To continue advancing industry capabilities, Validic’s data science team has been developing a proprietary exploration engine to discover additional value from de-identified data sets.
Validic Statistical Engine: How It Works
By pulling the analyses directly from a statistics API, clients can build deeper insights into their apps or programs – powering personalized interventions and user analysis. Whereas other statistics engines update their statistics on an hourly or daily basis, Validic updates are made in seconds – or near real time. This allows Validic’s engine to quickly and efficiently scale to a higher volume of data
The Validic Statistics Engine provides average values as a baseline for personalized goals and standard deviation values as a means to trigger alerts and notifications. For example, the statistics engine can conduct a macronutrient analysis of Christina’s diet – correlated with blood glucose, weight, sleep, activity, caloric intake and burn – to serve as the basis for personalized nutrition and meal recommendations. Christina, who has type II diabetes, has struggled with keeping her blood glucose values in range. The personalized recommendations help create realistic targets for her nutrition; however, she has a considerable number of out-of-range readings over the next week. Her care manager, Jason, receives a notification regarding the outliers and reaches out to engage Christina. After that conversation and consulting with Christina’s physician, they adjust the insulin dosage and treatment plan accordingly – preventing a hypoglycemic reaction.
Validic Awarded Patent for Machine Learning Technology
In addition to the release of the Statistics Engine, Vaidic has been awarded a patent for its Optical Character Recognition (OCR) technology within Validic VitalSnap®, the company announced today at the Connected Health Conference. This comes at a time when the industry is experiencing a proliferation of home health technologies, coupled with new financial models and reimbursements which are powering the development of data-driven care.
Launched in 2016, Validic VitalSnap is a mobile technology that enables users to easily capture and record health data from their legacy, in-home medical devices via their smartphone’s camera. Because many home health devices are still not wirelessly connected, data within the device is often inaccessible. This patent recognizes the VitalSnap method for optical character recognition of external segmented displays using a smartphone camera. The technology and underlying algorithm enable VitalSnap to read a device screen and digitize the data in real time. The information can then be recorded within an application and transmitted to a providers’ electronic health record (EHR) or patient portal.
