CareCost

Inspiration

Ever book a hospital appointment and then find out the cost later? Many people struggle with understanding the potential costs associated with various medical procedures. This tool aims to fill the gap by offering a reliable estimate of these costs.

What it does

We want to provide transparent and accessible healthcare cost information. CareCost is designed to estimate the costs of different medical procedures based on user input, such as procedure type and location (ZIP code). It can give users a breakdown of potential costs, including lower and higher estimates, typical insurance costs, and additional considerations like complications or recovery times.

How we built it

CareCost is built using Flask as the web framework, with a frontend likely composed of HTML templates such as templates/index.html for user interaction. The backend uses Python to process inputs and generates prompts tailored to specific procedures using methods defined in app.py. The application integrates with OpenAI's API to find cost estimates.

Challenges we ran into

Developing a comprehensive healthcare cost estimator involves handling diverse data inputs, ensuring calculations are precise, and making sure the tool is intuitive for users. Additionally, integrating with external services like OpenAI's APIs presented challenges regarding versions and response handling.

Accomplishments that we're proud of

I'm proud that this hack didn't take me that long to make.

What we learned

Throughout the development of CareCost, I learned valuable lessons about healthcare pricing, web development (Flask, HTML/CSS), and API integrations.

What's next for CareCost

Moving forward, CareCost could expand by adding more procedures, refining estimates with up-to-date data, and possibly incorporating user feedback mechanisms. Improvements in UI and further leveraging AI models for dynamic estimation are other potential areas for advancement.

I also want to explore additional data sources to increase the accuracy and coverage of cost information. Additionally, improving accessibility and mobile-friendliness would ensure broader user adoption and satisfaction.

Built With

• flask
• html/css
• openai