ProPatient

• 

  Patient Dashboard

• 

  Doctor Dashboard

• 

  Medication Creation Page

Inspiration

Why is it so difficult to develop a practical, comprehensive solution for healthcare problems? Typically, the approach involves using computer vision with limited data, a challenge that even major companies struggle with. So, why not create a realistic solution that is intelligent, utilizing AI not only for prediction but also for providing recommendations (obviously doctors are professionals), all while addressing often overlooked issues effectively.

What it does

The patient-centric application has been expertly crafted to establish an intelligent and highly practical system. It excels in recording patient concerns, providing precise medication instructions, issuing emergency alerts, preventing potentially life-threatening drug interactions and allergies, all while focusing on supporting doctors in their decision-making role, rather than taking it over

How we built it

An end-to-end web application, powered by Django and ReactJS, designed to deliver a seamless user experience. It also integrates machine learning models to enhance and streamline the entire workflow

Challenges we ran into

The mere volume of work and dataflow required to run the system and debugging (well, obviously). Atleast, for the time constraint.

Accomplishments that we're proud of

Getting the priorities right:

• Placing doctors over the application, but still being effective with the provided solution
• Building a highly scalable solution that is functionally robust

What we learned

Better understanding of concept, system design and workflow

What's next for ProPatient

The system opens up a world of options to scale it to various solutions around healthcare. They can be implemented with the data the app collects meanwhile with better models

Built With

• api
• django
• javascript
• python
• react
• redux
• rest