Medical device data is huge, unstructured and often diffiuclt to visualize and make actionable. Utilizing a state of the art streaming data platform and the newest methods for anomaly detection my team built an end-to-end application to capture data from a wearable medical device, analyze, visualize and create an actionable interface (via iPad GUI) for this proof of concept.

 

For this enagement I worked with a Technical architect, a Data Scientist, UX/UI designer and a development team to build a functional application for iPad. Ultimately the device and analysis would take place within a hospital setting with further opportunities for market expansion.