An IoT platform that connects injured students to the nearest available hospitals that accept their insurance in the nick of time by detecting gait abnormalities.
Inspiration: Jin, our classmate, met with an accident last week. He had some mild concussions and physical injuries. Being an immigrant student in the US, he didn’t have access to relevant in-network data regarding health insurance. And even during the time of emergency, he had no answers to questions like “Which Healthcare facility to avail”, “How long will it take?” and “Will they accept my health insurance?”
What it does: It utilizes the accelerometer in your phone when it detects gait abnormalities so it can preempt when you may need to go to the nearest hospital. An accompanying mobile app alerts you to the nearest hospitals that accept your insurance.
How we built it: Front end using php, server-side programming language that controls the HTML, as well as FHIR API and Google MyMaps. We integrated mobile accelerometer to trigger application in emergency
Challenges we ran into: As non-technical participants figuring out how to work with REST API’s. We first used manual data which wasn’t sufficient by the team’s standards. Once adopting APIs we struggled with not providing consistent data for each end point.
Accomplishments: As a group of 4 design students that is majority international, we were able to build something that we need, figure out how to access a mobile phones inbuilt gyroscope and accelerometer to detect when an injury may have occurred using gait analysis. We learned how to use the FHIR API, deployed the InterSystems API and created a working an MVP in 24 hours!
What we learned: We learned how to work in teams, distribution of work based on everyone’s skills, networking with an awesome bunch of people and sponsors!!, learning as much as possible throughout the process and obviously having fun while hacking :P!
What's next for inSurely: Next step for inSurely is to integrate our findings on Gait analysis using phone accelerometer and gyroscope to track the movements of people when they get injured. It can further be expanded to detect Degenerative Pathology, Musculoskeletal disorders, Neurological Damages.
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