Inspiration
Volunteering at a local hospital made us realize the true lack of information that doctors and emergency responders have regarding EMTs and ambulances outside the hospital. We noted that many of their communication systems still relied on radio to update each end, and thus they lacked the true awareness of knowing exactly where of each of the ambulences are. In addition, the details provided by EMTs can be taking up life-saving time, and thus carries its risk as well.
What it does
Our product, Pendium, allows for easy communication between ambulances and their respective hospitals. Accurate GPS allows tracking of the vehicle, while medical equipment on the ambulance measures quantitative measurements of the patient's health, in aspects including but not limited to blood pressure and heart rate. Finally, it allows ambulances to also provide qualitative communication with the use of diagnosis and message sections.
How we built it
Implemented Solace's SubPub+ event broker and MQTT to create real-time analytic solutions for emergency vehicles and patients. Integrated this with a front-end web application built using Flask that showcases the monitoring of vehicle location and patient conditions.
Challenges we ran into
Many challenges heard their heads during our project. Many logistical bugs were present, as we were not too familiar with online/server-based programming.
Accomplishments that we're proud of
- We had managed to use an event broker with a pubsub system to distribute data.
- How to create web application using both Django and Flask Python
What we learned
We learned how to use an event broker, and leverage it to solve real world problems with the use of APIs and scripting. Along with this, we also learned how to use the flask framework with the SQL database. We didn’t know how to use any of these technologies, as we are highschoolers trying to break into the tech industry, but we thought it was extremely rewarding to learn these technologies.
What's next for Pandium
We hope to use actual data collected by EMTs in ambulances to better model our system around it. We hope to integrate this system with actual hospitals to increase healthcare efficiency and preparedness. We hope this relieves some of the pressure placed on the health system and doctors, especially after the pandemic.
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