MediMap

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Inspiration

Patients are often left in the dark about the true cost of healthcare, with wide variations across states and insurance plans. We wanted to build something that makes those costs transparent and personalised.

What it does

MediMap helps patients compare real hospital prices for tests and treatments across states, factoring in insurance coverage. It recommends the best value option so patients can make informed decisions about their care.

How we built it

We built a React frontend for user interaction and a Python (Flask) backend to serve APIs. Our backend connects to hospital transparency datasets and insurance coverage files, while the frontend processes results, ranks them, and displays personalized recommendations.

Challenges we ran into

Parsing inconsistent healthcare price transparency datasets. Handling differences between insured out-of-pocket costs and cash prices. Getting React Router to work smoothly with deployment.

Accomplishments that we're proud of

A working system that shows real comparative hospital data. Clean, simple UI with personalised recommendations. Successfully integrating backend data with frontend visualisations.

What we learned

We learned how to structure full-stack apps for healthcare use cases, manage complex datasets, and deploy continuously with Render. We also got hands-on experience balancing usability and technical accuracy.

What's next for MediMap

We plan to expand beyond a proof of concept: Add quality metrics (CMS outcomes, patient ratings). Integrate payer APIs as they roll out in 2026–2027. Provide travel cost estimates for cross-state comparisons. Eventually scale into a consumer-facing app that empowers patients nationwide.

Built With

• css
• flask
• html
• javascript
• node.js
• react
• sqlite