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That's really cool. I'll probably end up trying to reproduce this by following your work step-by-step. I'm not too familiar with OSM, besides having used Nominatim.

Along the same lines we're crowdsourcing a database of hospital prices, starting this week. I'm reviewing our first pull request as we speak. You can follow our progress live. The data is here: https://www.dolthub.com/repositories/dolthub/standard-charge...

We talked a little about the problems we're encountering here: https://docs.google.com/document/d/1uMx1sUYwP_uE7ebd3PtGvF0t... and here https://docs.google.com/document/d/1NifwgKHBCeF35ZRZsfpgg4bE...



Thanks! You're doing awesome work, I read the blog post about the insurance data mess you're working through.

I'll see if I can incorporate that into my project!

I'd love to see what this map looks like filtered for specific services.


> I'd love to see what this map looks like filtered for specific services.

Sure. I did something like that with our insurance data. Did a quick folium visualization. You can start from here:

https://www.dolthub.com/repositories/dolthub/hospital-prices...

A limitation of our dataset is it excludes percentage-based contracts. So those won't show up.

Anyways, if you have the hospital NPI you want, you can look up all of its dollar-amount negotiated rates in this table. You can link that to the `hospital` table, geocode however you want, and make a map of the different rates. Note, however, that the insurance data published here is kind of a mess and, I think, contains many many mistakes (originating in the source data.)

BTW, I'm not sure if this insurance-derived hospital data exists anywhere else. I believe it doesn't.




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