Know the probabilities of fatal and adverse side-effects and update them with evidence(Bayes' theorem mentioned above)
Update on all relevant evidence, even if you don't have empirical data.
I would add:
Make decisions based on cost/benefit analysis, not simply probabilities. For example, low probability treatments can make perfect sense to try if they are low risk, low cost.
Know that the failure to reject a null hypothesis is not proof of the null hypothesis. It does not establish the null hypothesis. A failure to reject is simply an epistemological failure.
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I know this is banal, but ensure excellent administration.
Medical expertise is only relevant once you see the patient. Your ability to judge the evidence requires getting access to it; this means you need to be able to correctly send requests, get the data back, and keep all this attached to the correct patient.
Scheduling, filing and communication. Lacking these, medical expertise is meaningless. So get the best damn admin and IT you can possibly afford.
Very valid and good point(added). I briefly touched on it before too, but mostly had individual practitioners in mind than organized hospitals with administration and support. (India is moving towards a lot more of the organized hospitals model, but IT is non-existent, administration is most seat-in-the-ass jobs)