Hacker Newsnew | past | comments | ask | show | jobs | submit | sl-dolt's commentslogin

We're doing something a bit similar at DoltHub, where databases are managed with a GitHub like workflow, and where you get the pros and cons of that kind of system. Our hospital price database (work ongoing daily) is community built: https://www.dolthub.com/repositories/dolthub/transparency-in... (context: https://docs.google.com/document/d/1NifwgKHBCeF35ZRZsfpgg4bE...)


What’s up with the name? A ‘dolt’ is a stupid person, at least in the English language.


“git” is also a stupid person - and dolt is git for data


My mate used to say "git" to say something is fine/good (to him).


That's just the British pronunciation of 'perfect'.


Yes, but English wasn't our first language back then (in ~2005).


We're trying to reclaim the word


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.


Author here. The problem is checking compliance. By publishing these files, they seem compliant, but really aren't. Since the payors are the guardians of the data, it's very difficult to check that what they're posting is correct. That was the main thrust of the article.


Yeah these people are sketchy as hell, glorified middlemen trying to continue making billions for contributing nothing. Thanks for posting.


Completely agree. There are databases like this out there (All-Payer-Claims database) but they're extremely expensive (it would cost millions to get data for the entire US) and I have no idea why.


too bad that data hasn't been leaked which would actually be helpful for the US


Thanks. Will fix that.


I'm the author. When I write articles I have to make a choice: make them readable by the public, or detailed enough to satisfy the experts. I try to strike a balance, but I can't have both.

Please take a look at the CMS Price Transparency Guide https://github.com/CMSgov/price-transparency-guide and familiarize yourself with the schema. You can also take a look at the federal ruling: https://www.ecfr.gov/current/title-45/subtitle-A/subchapter-...

The metadata you're talking about is specified in the files themselves. I've limited my search to fee-for-service (non-capitated, non-derived, non-bundled) institutional claims.

You can write to me if you have more questions. [email protected]


I'm the author.

Take an example like this https://github.com/CMSgov/price-transparency-guide/discussio...

I don't know how closely you've worked with this data -- you clearly have some kind of expertise -- but how do you explain this?

The insurance companies had 18 months to talk to the CMS and ask for a better data model. If they're not able to explain how much things cost with 5 different negotiated types -- negotiated, percentage, derived, fee schedule, and capitation -- then they should have asked for another one.

The hospital and insurance rates are both fee-for-service base rates for items billed individually. If there's some nuance in interpreting how "fee for service" "dollar amount negotiated" goes, definitely write to me and let me know. I talked with experts in healthcare pricing before I published this.

You can write to me at [email protected] if you wanna hit me with more questions.


I'm the author. Publishing my reply to you (as I understood your question):

> No one can produce the corrected/missing rates but the insurance companies themselves. All we can do is point out when we’ve found rates/patterns that don’t make sense. E.g. https://github.com/CMSgov/price-transparency-guide/discussio...


This is basically what health insurance companies do. They want higher billed rates from hospitals so that they can offer better "discounts." In reality, no one pays the billed rates.


I get irrationally angry when I get my insurance statements for routine stuff.

Doctor billed: $1500 Insurance allowed: $125 Insurance paid: $75 Your copay: $50


Irrational? You're angry because they're trying to mislead you into thinking that "insurance" is covering 97% of a large bill. When in reality, they're only covering 60% of a small bill.


See also, protection racket [0]

[0] https://en.wikipedia.org/wiki/Protection_racket


Obfuscating how that process works is a huge problem. It's how they extract lots of value out of the consumer, and why Americans pay more than most socialized medical systems while having on-par or worse outcomes.

Take a look at the list of Fortune 500 companies and notice how many are healthcare related. There is a reason it's never going to get better.


This is all insurers, all US hospitals, and 70 billing codes (CMS-specified "shoppable" services).


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: