I would guess Marken is respected; I have not read the paper, only his brief mention of the results in a talk he gave summarizing his 25 years of PCT-related research. I have no idea whether you would consider it "strong evidence". However, here is a portion of that synopsis:

One surprising result of this modeling effort was the discovery that environmental disturbances, such as look alike/sound alike drug names are expected to have very little effect on prescribing error rate when the error rate is already low. This result is surprising because it contradicts a basic tenet of the field of human factors engineering – a field in which I have also worked. Human factors engineering is based on the premise that the main cause of human error is environmental disturbance in the form of poor system design (such as a poorly designed medication naming system, which gives similar names to very different medications). A control model shows that such environmental disturbances cannot be a major contributor to error when error rates are low because, the fact that error rates are low means that the control process is already effectively compensating for these disturbances.