Health Track

2013 (completed)

Health Track won first place at HealthHack DC 2013. As a self organized team of 4, in less than 8 hours, we integrated 4 FDA data-sets while using the Twilio and SendGrid APIs. We demonstrated functionality on Google Glass, iPhone, iPad, Android, and the web.

For anyone interested, here are the slides and app we presented (disconnected from our C# backend API):

Gameday

I showed up to the hackathon with an engineer friend who never attended a hackathon before but was interested in joining after hearing me mention my experiences with several other hackathons I previously attended (Battlehack and DCTech / iStrategyLabs D&B hackathon). Most of the other teams seemed to already know each other but I recognized two other solo devs from previous hackathons, so we formed a 4 person team.

After hearing about the sponsor APIs, our team agreed on an idea to show, drew a UI on a whiteboard to show the workflow with a backend for integrating with the APIs, implemented the design, and finally demoed our solution using a responsive web app with hybrid mobile support through Cordova. Our backend was a C# API that handled cross origin requests and called the sponsor APIs.

The Demo

We described a short, overweight diabetic patient using recalled medication while living in a state with high incidence of Lyme disease. The patient also lived near a poorly rated hospital. Using our system of applications, the patient is notified of these warnings by signing up through their iPhone, Android, or on the web.

Next, we described a scenario where our patient has collapsed and his paramedic uses iBeacon to identify him and see his medical history on his iPad. Using the HealthTrack system, the paramedic notifies the patient’s emergency contacts. In our demo, we used our UI to call the sponsor APIs and after a very tense 5-10 seconds everyone on our team received emails and texts of the incident (we were all signed up as contacts for the patient).

Lastly we described a use case for Google Glass where the doctor at the hospital identifies the patient simply by looking at him.