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A petabyte of health insurance prices per month

blog.turquoise.health

171–180 of 275 posts

Re: A petabyte of health insurance prices per month

#171

Earlier quoted context omitted.

Per federal law (ACA), health insurers in the US are required to spend 80% to 85% of revenues on healthcare expenses. Their profit margins are 2% to 6%. Therefore, the higher the revenue, the higher the profit. Where is the incentive to deny legitimate claims?

Is that real profit or profit after a bunch of accounting sleight of hand? Are they cutting their "profit" by taking heavy debt burdens via leveraged buyouts or other schemes, pulling way more than 20% off the top for their shareholders and then making it look like much less?

I trust the financial figures filed with 10-K reports and the US SEC enough to not worry about that. If one does not trust those figures (for multiple different companies employing tens of thousands of people each), then further conversation cannot be had.

Re: A petabyte of health insurance prices per month

#172

There are separate charge codes for everything , and all of those codes need to be reflected in the pricing data. There's a price to slap on a bandaid. There's a price to give someone a Tylenol. Hell, W61.61XA is the medical code for "Bitten by duck, initial encounter." Presumably, this means there's also a code for "Bitten by duck, again." Medical billing is broken , and it's no surprise that the amount of data is o…

While there is a mapping between them, ICD10 (diagnosis) codes and CPT (billing) codes have different purposes.

Re: A petabyte of health insurance prices per month

#173

Earlier quoted context omitted.

I do not think health insurance company shareholders are interested in paying employees extra for no reason and earning less profit for themselves.

Health insurance company executives are though, aren't they? Their compensation is the "administrative overhead." And a lot of the administrative overhead is proportional to expenses. Commissions are commonly a fixed percentage. How much it's worthwhile to spend on fraud prevention is in proportion to the size and amount of claims. So when premiums and claims costs go up, actual administrative costs go up, but shareh…

>Health insurance company executives are though, aren't they? Their compensation is the "administrative overhead."

Yes, and considering they health insurance company executives are not all the richest people in the US, there must exist some pressure to contain their compensation.

>once you take lowering claims costs off the table as a way to make more money.

This is a pretty big assumption. Surely, UHC/Elevance/CVS/Cigna/Humana risk losing clients if they let their costs go up compared to competitors, and hence their premiums go up, and then a competitor offers their customers lower premiums.

Re: A petabyte of health insurance prices per month

#174

Earlier quoted context omitted.

While there are huge problems, I think the majority of the problem is people expect their health insurance plan to be like a prepaid maintenance plan. If you crash your car today without insurance, you understand it won't be covered by getting insurance tomorrow. Why people think they can finally get healthy "insurance" at 45 from company xyz, knowing they need this pill or that pill, and expect the new insurance com…

Why wouldn't they expect it? If they need that medicine/treatment, they need it. If I don't have car insurance my organs won't shut down and I won't die. If I don't have medicine, they do and I will.

If you need medicine to live, you should pay for it. If you can't, the government should step in.

However, making me pay $400 a month for insurance in case I need stitches next month because I have to subsidize your medicine is annoying.

I want insurance in case something I don't know about goes wrong. You want something you know you need.

Re: A petabyte of health insurance prices per month

#175

Companies are going to grow around this data. An entire industry might grow around this data, and it will be an industry that I support every time I pay an insanely high insurance premium or medical bill. 15% of our workers are in the medical system [0], and this doesn't even include the surrounding insurance industries or pharma industries (I think). Someone has to pay all these people, and that someone is me when I…

There's a similar issue in academia. Tuition costs have risen far faster than inflaction but the number of professors per student is roughly similar. Where does all the extra go? Administrators and bureaucracy!

I mean based on all the numbers provided it could have also go into

- Construction costs of smaller classrooms

- Advanced labs

- Land Taxes

---

But also if the number of students & teachers has increased at a proportional rate then tuition would be expected to increase to cover the more administrators required to administrate the increased staff.

Re: A petabyte of health insurance prices per month

#176
post #161
post #88

Earlier quoted context omitted.

Because these are world health organisation 'international disease classification' codes that are designed for population health study and happen to be used for insurance billing in the US. There are requirements for some data to be reported to federal and international organisations. For instance, these codes are also used on death certificates I think, so they can track whether a lot of people are dieing of flu (pr…

But if an app developer in a different industry doesn't know the history behind it then a must be worthless.

They are funny though, I just thought people might like to know the context

Re: A petabyte of health insurance prices per month

#177
post #25

Earlier quoted context omitted.

My personal favorite is V97.33XD "Sucked into jet engine, subsequent encounter."

> My personal favorite is V97.33XD "Sucked into jet engine, subsequent encounter." If you were sucked into a jet engine, you'd probably sustain serious injuries, so hopefully you'd have a followup visit with your doctor about it after the fact, rather than just one single visit. (Yes, I get that you're joking, but that's what "subsequent encounter" actually means.)

This reminds me, I recently read of this happening in TX [1]. It was ultimately ruled a suicide. A horrible, scarring event for all in the vicinity without a doubt.

1: https://www.npr.org/2023/06/26/1184281638/airport-worker-eng...

Re: A petabyte of health insurance prices per month

#178

Earlier quoted context omitted.

Here's the full list of codes for "Bitten by ____, _____ encounter" https://www.icd10data.com/ICD10CM/Codes/V00-Y99/W50-W64/W61- The hierarchy looks like this: W61.6 Contact with duck = W61.61 Bitten by duck == W61.61XA …… initial encounter == W61.61XD …… subsequent encounter == W61.61XS …… sequela = W61.62 Struck by duck == W61.62XA …… initial encounter == W61.62XD …… subsequent encounter == W61.62XS …… sequela = W6…

"I'd like to file a complaint. This is my fourth time being bitten by a duck not my second time. You have overcharged me!" This is possible in America today. Great job post ww2 employer coverage side effects!

Some ducks are poisonous, this is why the species needs to be known.

Re: A petabyte of health insurance prices per month

#179
post #36

There are separate charge codes for everything , and all of those codes need to be reflected in the pricing data. There's a price to slap on a bandaid. There's a price to give someone a Tylenol. Hell, W61.61XA is the medical code for "Bitten by duck, initial encounter." Presumably, this means there's also a code for "Bitten by duck, again." Medical billing is broken , and it's no surprise that the amount of data is o…

Nuanced but important distinction: these are ICD-10 diagnosis codes. They are only loosely related to what is billed and would not show up in the pricing data referenced by the OP.

ICD-10 codes are used for DRG billing which is what most inpatient billing operates on. But aren't included in the data I think.

Re: A petabyte of health insurance prices per month

#180
post #126

Earlier quoted context omitted.

This is still silly.

It's not when you want statistics about all injury types, treatments, etc.

You don’t need arbitrary codes to get statistics for something that can be typed in a description field.
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