New Prototype Project

We just posted a prototype project summary on our QuickStartrm site. Using PiLR we built a first generation prototype of a health application that runs on a smartphone. We implemented 4 general functions: medication reminders; medication tracking; activity tracking; and sleep reporting. The medication reminders and activity tracking use the phones sensors to trigger actions without requiring any initiation from the user. The sleep reporting is a self report validated survey initiated by the user. As an example the user answers questions on their mobile phone. This information is captured and forwarded to the PiLR platform in real-time. Using R and the assessment scoring rules we can plot how users are doing. Since we know the severity of the sleep issues we also have the option of creating an automatic notification to the user, or their clinical team. As this is a prototype we have not implemented these features, but we have the data structures populated using the rules. You can see the graphic and table in the included screen shot.

PiLR adds value to the process by making the development and deployment of the mobile application very easy and fast. The total effort to create this prototype was less than 40 hours. Of this, 84% of the time was taken for the data analysis and visualizations. All the content and rules that create the mobile app were completed in about 6 hours. This yields a mobile app that is deployed in iTunes and the Google Play stores. All of the data and metadata are automatically generated. What's nice is that all of the streams have common notions of identity and time. The common infrastructure also makes it easier to combine data from different sources. As an example, it is easy to couple sensor data about activity with user observations about how they are feeling as both streams have common notions of time. And of course the system provides the type of security you would expect for these types of data.

Interested in learning more? Visit the QuickStartRM site.