In order for this hospital to make a truly informed decision, they'd have to know:
- Nearly precisely how many patients they'll be losing
- How much revenue those patients generate now and will in the future
- How much money they'll be subsidized from the government which means they ..
- Need to know how many medical facilities will be closing around the country....
- ...How much the remaining facilities will receive which means they also....
- Need to know how the federal government calculates subsidies.
Are you telling me they knew that within hours of the bill passing?
I guess we're doing this again?
1. They do not need to know "nearly precisely" how many patients they are losing. For one thing, all they need to know is whether it's too many. Think of it this way: if our football team is down 52-10 headed into the fourth quarter, we don't know precisely how many points we will end up with but we know we're going to lose.
Second, for high revenue businesses like hospitals, statistical projection methods work very well. If you have a million customers, and then next week you have 900,000, that's what you need to know. If it's 893,356 or 913,122 doesn't matter.
Third, in budgeting and all business analysis, the standard practice is to run projections on different base cases. for instance, in financial projections: you might run the numbers assuming a best case scenario of 3% interest rates going forward; an average case of 4%, and a worst case of 5%.
Put all these together and companies have a very good financial picture. They don't know exactly what will happen, but they know the likelihood. They can tell you with quite a lot of precision what their chances of survival are. For instance, they might know that they have a 10% of surviving. That's a piss poor likelihood.
2. You don't think the hospitals know each others' finances, roughly speaking? They do. They have trade associations. There are consultants who gather data. They know the reimbursement schedules, and the population in various areas. They know the doctors' salaries and staff salaries.
They might not know exactly which hospitals will close but they can predict accurately that it would be between X% and Y%.
Note: I don't know this for sure about hospitals per se, but I know this for a fact for other big businesses and I see no reason hospitals would be different given that they hire the same MBAs.
3. They do not need to know exactly how the government will calculate subsidies if they know it's not enough. I've read where the stabilization fund would have to be north of $200B. So no matter what the subsidy calculation, it's not going to cut it.
4. They know within HOURS because they've already modeled it. Hospitals employ hundreds or thousands of people in administrative/analyst roles. What do you think they do all day? Just because you pick your nose doesn't mean that's what everyone does.