[pedrosorio]

I don't see how this solves the problem of some doctors tackling harder/easier cases.

How do you distinguish two doctors with high prediction ability and low success rates (compared to the average for that procedure) if one is bad (and she knows it) and the other is tackling harder cases (and is actually one of the best in the field for cases with high probability of complications)?

Without input from other doctors (or simply using a lot of data where you can correlate hard procedures with other factors in the patient data) you'll never be able to distinguish the two doctors mentioned above.

[bokonist]

"How do you distinguish two doctors with high prediction ability and low success rates (compared to the average for that procedure)"

The doctor is never compared against the "average for that procedure" for exactly the reasons you give. The doctor is only compared against that doctor's own predictions.

So as a patient in need of a surgery, you would get opinions from 3-4 different surgeons, each one would offer their personal outcome probabilities. The patient gets access to that doctor's stats that score their actual track record against their own predictions. The patient should then choose the surgeon who gives the best odds but also has a track record of hitting their predictions.

A doctor who tackles hard cases should still have a good success rate against their own predictions. Such a doctor will just lower their predictions according to the riskiness of the case. If the doctor is good, such a doctor will still get business, because the skilled doctor will still offer better odds (odds that the patient can actually trust) than can be reliably offered by a less skilled doctor.

The one weakness of my system is that it does not give any sort of global score. There is still the problem of having to find 3 to 4 good surgeons to ask for an opinion in the first place. But at least once you have gotten to that point, you can have trustworthy predictions upon which to base your decisions.

[sokoloff]

Doctors in such a system may still have an incentive to over negatively predict the tough cases, and specifically by an amount greater than their peers.

The hope would be "send this tough or impossible case to someone else" such that the doctor's success rate stats will remain high and the outcome prediction stats would be unaffected (as the "trial" would go to another doctor).

I'm all for having more information available, and when my extended family faces a serious medical concern, we seek out friends and family in medicine, asking "if you faced this situation, what doctor would you trust?" I don't know of a way to globally institutionalize that process.

[MarkMc]

But the track record for such a doctor will clearly see that they aren't tackling the difficult cases. Would a doctor want a high success rate if it comes with a reputation for only taking easy cases?

Even if the answer to the above question is Yes, the reduced number of doctors willing to tackle difficult cases will be able to charge higher fees. So at some point you would reach a market equilibrium where the desire to tackle easy cases is balanced by the desire to earn a higher income. That is, when compared to the current system the easy cases will become cheaper and the more difficult cases will become more expensive - but maybe that is an acceptable outcome if it means the system as a whole is more efficient?

[sokoloff]

It depends on the goals of the doctor. If the doctor aspires to a massive volume of fixed-rate, "easy" procedures (look at cataract surgeons benefiting from the advances in that field while insurance and Medicare reimbursement rates remained constant [and high]). I'm not knocking those docs; they provided real and tangible benefits for millions of patients with cataracts and I don't begrudge them their money. It's just super amusing to me to walk down the multi-million dollar warbird parking area and have half the owners be eye doctors.

As for aspiring to have a reputation for efficacy in difficult cases and assuming that you'll be able to charge more due to market forces? I don't see that playing out in any Western medicine economy. IMO, you can't build a functional ecosystem around the very few patients who are self-paying and willing to pay large sums for better care.

Very wealthy individuals and pro sports teams are the only customers I can see for that. The overwhelming majority of people (far in excess of 99%) are going to have two hurdles to procure your expensive services. First, they have to find and select you. Second, they have to convince their insurance provider to pay your rate, instead of the "going rate". That seems uphill, probably steeply so.

[MarkMc]

(Sorry for delay - I just read your reply)

As someone who had a serious illness last year and who is not in the top 1%, I can promise you I would have crawled over broken glass if I thought it would have improved my chance of survival. I certainly would have paid a large chunk of my net worth to switch to a doctor who had a significantly better track record.

I don't understand why the medical insurance market wouldn't work. If the insurance company won't let me switch to a doctor who has a better track record, won't that insurance company get a bad reputation and lose business? U.S. doctors have a better reputation than Mexican doctors and in this case most people pay for insurance which covers treatment by the more reputable doctor - I imagine the same effect would apply between doctors within the US if there were a objective track record which identifies the better-performing doctors.

[mjevans]

Even if this does work, all it validates (measures) is the accuracy of guessing outcome. It does not (as mentioned via reference to global score) actually measure what the best odds for likelyhood are.

The system also does not account for new entry in to the surgical field, nor doctors changing in skill and accuracy over time (the data doesn't have aging parameters).

[MarkMc]

You can distinguish the two doctors very easily: for any given patient, the doctor with low success rates will give that patient lower odds than the doctor who only tackles harder cases.