Emergent

Inspiration

When my friends and I went for an outing from college, we saw an accident where a two-wheeler hit an old man. We moved to help him but we can't get access to their family or relatives. At that time we thought to build a solution to make a system to get the details of the victims during the emergency situation within seconds. And also when the doctors are in urge to give treatment to the patient they lack the medical records of the old man. In facing this, We thought of creating a solution for all these problems which will be very useful for hospitals and also during emergency situations.

Abstract

The app has two main portals, one for hospitals and one for regular users. The hospital portal gives doctors access to patient's health records, which are stored in a private, decentralized system. Each patient has a unique ID with all their details and records. The hospital can update reports after treatment and checkups. The decentralized system allows for medical records to be accessed by hospitals worldwide with permission from the patient. In emergency situations, doctors can scan the patient's face or use their fingerprints to access records. The app also has a system for emergencies where you can scan a victim's face or use their fingerprint to get their information and inform their family or relatives.

Brief Idea

Our App has two main portals, One is for the hospitals (Where only verified hospitals and doctors can get access) and the next portal is for the Common People. In the hospital portal, The doctors can access the entire health records of the patients which are securely stored in our private decentralized system. Also, each and every patient will get a unique ID that contains all the details and health records of the patients. Also, the hospital can update all the medical reports after the treatment and checkup of the patient. As this system is decentralized the medical records of the patient can be analyzed and accessed by any hospital worldwide with permission from the patient to provide treatments to them. In the case of emergency situations where the doctors cannot get the User ID from the patients, they can just scan the face of the patient or can use the fingerprint of the patient to access his health records with the help of our Machine Learning and Computer Vision Model. As all the records are stored in a Private Decentralized System it will be very secure where no one can access the medical records of any patients.

In the User Portal, Users can add themselves to the app and they can update and maintain their medical records more securely with the help of the decentralized system. To add the medical records, it is not necessary to enter all the details in our systems. With the click of a button, users can add their medical records to the decentralized system with the help of our Computer Vision AI Model which by scanning the medical records it will automatically identify and manage the records intelligently. And by analyzing these medical records our app will automatically schedule the check-up timings, medications timings, and food recommendations in our app which the users should follow to take care of their health.

We also have an emergency system, during any emergency system we can just open our app and select the emergency open and by scanning the victim's face or using their fingerprints we can get the details of the victim who met with the accident and we can easily inform his family/relatives regarding the issue.

How we built it

The first step is we ran into lots of research over the internet regarding the problem and also we have conducted a survey with common people and their emergency situations in life. Then we came up with effective solutions to solve this issue. With all these in our hands, we have built a basic prototype that can identify the patients and show their medical records, and currently, we are working on the blockchain part of this solution

Challenges we ran into

Some of the problems we ran into when building an AI-powered medical app include:

Ensuring that the AI was able to accurately diagnose patients.
Making sure that the AI was able to provide personalized recommendations for each patient.
Ensuring that the AI was able to keep up with the latest medical research and developments.

Accomplishments that we're proud of

We have conducted many surveys with the people and the industrial experts about the solutions that we are striving to achieve and based on their recommendations and suggestions we have made many improvements to our app. We have also built a basic prototype of our solution

What we learned

We have learned the blockchain technologies to store all the medical records securely in a Private Decentralized System. We have also learned many health-related terms.