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Jacob Lehman's avatar

I used to work for the Blue Cross & Blue Shield Association over a decade ago, and we were working on trying to improve cost and quality of care transparency for patients back then to improve their ability to make informed decisions about where to seek healthcare. Consolidation dramatically threatens this (and it doesn't seem like much progress has been made on that front anyway). I do appreciate your sharing this side of the equation. Covering "frequent fliers" (the small share of patients who account for most costs) so that they aren't bankrupted is, in some ways, the reason for insurance to exist. They also, however, impose costs on the entire system. The industry is rife with agent problems. You know your health better than your insurers do, but (likely) lack the expertise to push back on a doctor recommending unnecessary tests or more expensive pharmaceuticals when generics are available. Insurers can (and should) try to push back on suspected incidents of such misbehavior, but when they get it wrong, if the provider proceeds to bill the patient, (as many do, maybe not in this particular instance, but in others, saying "your insurance wouldn't cover this part, here's what you owe") you have (sympathetic) sick people who trust their doctor's (seemingly) individualized recommendations over the insurer's statistical averages. Big data-enabled analyses might help both doctors and insurers more consistently deliver evidence-based standards of care, but we're not there yet. Lastly, it's worth noting that while new medical innovations needn't necessarily increase overall costs (pre-emptive heart medication could reduce expensive ER visits and bypass surgeries, better scanning/prediction could reduce unnecessary operations), in many instances reductions in mortality will push costs up, allowing sick people to survive while continuing to consume expensive treatments. There are no easy answers here.

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Jordan Deuink's avatar

Surgeons determine the length of a procedure, not the anesthesiologist. I agree that if the goal is to fight fraud there are much better ways to do that than using undefined Medicare data. No way to know how that was calculated (that I can find anywhere). Would also note that downplaying the significance of this by noting providers can “appeal denied claims” is a bit maddening. The proportion of claims that have to be appealed continues to increase, adding further administrative overhead for providers to get paid at all.

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