Quote:
Originally Posted by
Milhouse 
Average refers to the mean. It is a statistics word. Physician refers to a person that holds an MD. Reading an ECG means interpreting the electrocardiogram.
You see, we can design something called an experiment. We know we have a population of physicians that read ECGs as a major responsibility. We can sample those physicians' interpretations of ECGs. We can compare those interpretations to samples of how a machine interpreted the ECG. We can then determine which results in better outcomes for the patient.
The problem with your study is that the average physician is not going to read an ECG when it really matters (complicated pt.), which is what I've tried to drive home. The average cardiologist, yes, which is why I tried to specify your comment.
Since, I'm not very far removed from my Step 1/2, I'm sure you'll be glad to know I still remember (most) of my EBM lectures

. If you take the "average physician" to compare it to an ECG readout machine, there's a selection bias inherent to your sample population when applied to the generalizability of the study. It may be a perfectly fine question to ask, but clinically, nobody cares if the ECG machine reads a rhythm better than a pediatrician, FCM, orthopedic surgeon, radiologist, and practically every IM subspecialty.
As I said before, I'd be pretty confident saying the machine will make non-significant differences in uncomplicated cases when compared to your average cardiologist, and in complicated cases, the average cardiologist will be statistically more likely to be correct. This is only a guess but a good one: I've never heard of a hospital that has a machine as house staff or faculty.
That's not say that machines aren't helpful or might be consulted, but the machine doctor days are far away.
And as far as keeping up to date, in the academic world, the saying goes "publish or perish". Almost every academic physician keeps up with their specialty literature on a monthly basis. I'm not sure about PP.