Terrifying story and example. Im glad it worked out and I think there are a number of factors that this illustrates. One is the time and incentive differential

Terrifying story and example. Im glad it worked out and I think there are a number of factors that this illustrates. One is the time and incentive differential between doctors and the patient. Im guessing you and your wife spent multiple magnitudes of order more time trying to get to find a cause. You have one wife and one unborn child, while doctors have dozens of patients a day. A doctor can never devote as much time and emotion as a patient. This isn't a condemnation, but a statement about reality. Medical training and experience can reduce the impact, but not overcome it. It is a reason why someone can't entirely outsource their heath to the medical system, and something that I think people miss when they set medical expectations. From the perspective of the medical system, it is a numbers game, where the optimal number of deaths is non-zero. More time and effort spent in one area means less in another. Saving one life might cost two others. Because of this, I think it is most useful to discuss ways to increase medical efficiency. Better data transfer, better collation, better processes. AI/big data review has a place in this, but we should be aware of it's limitations, particularly on the data it doesn't capture.