Team CodeZero - Medicare: Revolution in Indian Health Care

[muskankhedia]

Team CodeZero - Medicare: Revolution in Indian Health Care

ℹ️ Project information

Please complete all applicable.

• Project Name: Medicare

• Short Project Description: Modernizing and revolutionizing Indian medical science by simplifying complex medical calculations using deep learning and blockchain.

• Team ID: HX004

• Team Name: CodeZero

• Team Members: Muskan Khedia(@muskankhedia), Harkishen Singh (@Harkishen-Singh), C. Anirudh (@C-Anirudh)

• Demo Link:

1. AWS link
2. Demo video

• Repository Link: https://github.com/muskankhedia/Revolutionize_Medicare
• Labels: Revolutionize The Smart World

🔥 Your Pitch

Medicare is an application that aims to modernize and revolutionize the way that Healthcare works in India. It reduces the information gap between a patient and a doctor, significantly reducing the chances of the wrong diagnosis. Medicare helps to ease the complex medical decisions and calculations with the help of deep learning and secure the entire process by implementing it in a blockchain. Our model considers information like the patient's record of previous ailments, his Sugar level, Blood Pressure, BMI, TPR, etc to smartly suggest medicines and predict the result of taking said medication. The crucial patient records (i.e., his medical history) is stored using a blockchain in order to be secure, scalable and fault-tolerant.

Entire medical history of a patient is stored (entered by the doctor every time he visits one). For a newborn child, complete details starting from vaccinations taken will be stored.

• The basic medical data stored includes :
  • Basic Data
  • Age
  • Gender
  • Sugar Level
  • Blood Pressure
  • BMI
  • TPR (Temperature, Pulse and Respiration rate)
  • Allergies
• Disease data (entered by doctor)
  • Disease name
  • Medication prescribed
  • Duration of the ailment
  • Boolean indicating whether the medication was successful

Medicare helps the doctor prescribe medicines to a patient based on this medical history. The doctor can also judge the effectiveness of a particular medicine on similar patients based on its history of success/ failure.

The effectiveness of Medicines are highly dependent on factors like sugar, BP, TPR which are often the cause of failure of medicine. Hence, different medicines are prescribed for patients suffering from these. Choosing the right medicine for these complicated cases is tough for human minds, hence we propose to solve this crucial issue by the help of deep learning.

🔦 Any other specific thing you want to highlight?

This project aspires to bring the best of the smart world to people of all strata. Our software is unique in the fact that people be it rich or poor will be equally benefited. This would bring about a revolution in the way people look for better treatments. More than 7000 deaths are caused in India every year because someone couldn’t read a Doctor’s prescription or the Doctor prescribed a medicine that was unsuitable. Most people, in general, aren’t very sincere when it comes to maintaining their medical records, which can greatly influence the medication that is suitable for them. For example, a medicine may not work on a patient with a history of blood sugar but may work on others. Medicare will fully utilize this precious data. Its digital blockchain library of patient’s medical history and deep learning-based model to predict the effectiveness and suggest medicines will hugely influence the way Doctor’s treat patients and prescribe medicines.

✅ Checklist

• [✅] You have followed the issue title format.
• [✅] You have mentioned the correct labels.
• [✅] You have provided all the information correctly.

AWS Services and how it helped us?

AWS has been the perfect solution for our project. It helped us deploy our instances on virtual machines and was then linked with AWS simple storage bucket for managing our files. We had used AWS hosted MongoDB at the initial stage of development to carry out the tests and compatibilities on our devices. AWS provided us the needed scalability at a much economical cost, in a user-friendly way, which was easier to adapt and grow with our busy time in the hack. AWS’s zero downtime (almost), fairer billing services, high scalability makes it a fit cloud provider.