Living through a pandemic has changed life for us all. One of the inspirations for this idea was the apparent suffering at every stratum of society. Our goal is to provide relief from physical illnesses and suffering.
What it does
The product's intention is to connect those in need of help with those who can provide help. Broadly, our product utilizes a database of cases, consisting of patient symptoms, durations, and related physical characteristics: all provided by patients in need. A graph network of case nodes is associated in a backend c++ program in order to relate cases by statistical similarity and return only the most relevant solutions to these cases, provided by doctors on the network.
How we built it
Using a tech stack consisting of html, css, javascript, mysql, nodejs, c++, and other tools like excel and powershell we created a website, database, and backend graph network to facilitate our ideas.
Challenges we ran into
The scale, complexity, and sophistication of our project had towered over us from the beginning of our journey. While working on the front end and back end we were constantly expanding the core functionality of our product whilst aiming for an unrealistic ideal of perfection.
Accomplishments that we're proud of
Although we did not meet our intended development goals in terms of features, functions, and presentation, we are proud to have worked hard to develop an idea that can provide a great reach for medical providers and a robust infrastructure for virtual healthcare.
What we learned
This process was a great learning experience technically, academically, and especially collaboratively. We stretched ourselves physically, emotionally, and mentally for this project and this dream of accessible, relevant medical information for anyone in need.
What's next for Decentralized Patient Care
Given time, capital, and work: Decentralized Patient Care aspires to be a connective social and professional network for the healthcare system, providing medical professionals with vast networks of referrals, immediate access to work history, infrastructure for virtual patient care and much more.
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