If this is the billed data I think it is, then this data is super unhelpful. I have done a few different projects for providers (I am an actuary) and I could never find a good use for this data. Billed charges are a made up number, you really need the discounted data (varies between each payor and provider), and need to know what market you are in (employer, ind, Medicare, Medicaid, some kind of ACO or other agreement).
Also, a lot of what the reddit OP wants already exists in various forms (some of them you have to pay for, such as truven data). 'Bundled payments' have been picking up steam for the last five years or so, and there are public data sets that describe things like knee surgery costs in different geographic areas. I think CMS has a website that already visualizes this data as well.
There is currently an anti-kickback statute in place that protects rebates. Big news is that this might change this year or next year, rebates are paid at point of sale to consumers. Insurance premiums would rise, so non-utilizers see an increase in cost, and very high utilizers see a reduction (rebates primarily on high cost brand drugs).
The ACA hasn't been what it was supposed to be since 2015. Republicans in Congress gutted the market when they took away risk corridor payments. Small health plans priced with the payments in place, then when they didn't come through, everyone in a loss position went under. The big plans could weather the storm, market consolidates, prices rise.
If you think that's fun, the FSA exams are a whole new level of crazy. The math mostly goes away outside of financial statement type stuff, and in comes thousands of note cards on bland regulations (stuff like FAS106).
But, people have to be weeded out in some way, amirite?
Consulting actuary here. I majored in Econ, started taking exams after I graduated.
I don't really see the value in the actuarial degree, but I do see the value in taking the exams. Some people might be frustrated with their place in a given company, but overall it is a great career. One of the keys is to stay up on current tech and always be learning new things. It seems pretty easy to get stuck into a position where you are making baskets all day.
In light of this article, new genres like glitch/aesthetic/simpsonswave are just versions of generative art. All that stuff takes some simple code to augment images, then MS paint comes in to superimpose an 80's car, some green lines, and a statue of david, haha.
I really enjoyed reading about the newer AI methods though.
Also, a lot of what the reddit OP wants already exists in various forms (some of them you have to pay for, such as truven data). 'Bundled payments' have been picking up steam for the last five years or so, and there are public data sets that describe things like knee surgery costs in different geographic areas. I think CMS has a website that already visualizes this data as well.