Medical care remains one of the most expensive and elusive markets for patients despite the prevalence of information online. Prices for the same treatment can vary by 200% per hospital. Yet only 20% of Americans compare these prices before heading to a hospital.

With AHA, patients are one click away from taking control of their health.

What we did

We harness government-issued public health data from the Office of Statewide Health Planning and Development to shift this trend. Using Python, Javascript, and Wix code, we provide price transparency by comparing treatment costs in your local hospitals.

Challenges we ran into

  • Finding, cleaning and preprocessing available public data (data wrangling);
  • Extracting data corresponding to 220 hospitals in the California;
  • Sorting output in ascending order according to price.

Data wrangling, with the many bugs and debugs, was perhaps the biggest challenge we ran into. We overcame the challenge of connecting back-end with front-end by importing cleaned data to WIX and using JavaScript to code it directly into the software.

What we learned

  • Debugging pandas dataframe issues;
  • Handling different files in Python;
  • Started learning Flask Microframework and tools needed for full-stack development.

By using public data to make healthcare transparent, we’ve learned how to use Wix code from scratch and deepened our knowledge of JavaScript and Python. Together, we have created the first product ever from attending a hackathon.

What's next for AHA:

  • Adding insurance as a variable to which the final displayed price will be adjusted: result out-of-pocket prices;
  • Displaying the price ranges in the form of an interactive histogram;
  • Adding more data to increase the market from Bay Area to California and other states in the U.S.

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