| > is likely just overfitting the existing data. I would be more careful with your assessment. Or you are overfitting to your limited 5-minute-understanding of what this does. Telling mathematicians and statisticians they have overfitted is akin to a grave professional insult (you are basically accusing them of foolish behavior at best, fraud/unethical behavior at worst. As a bioinformatician, you may be interested in these articles, which go a little deeper on the technology: https://www.nature.com/articles/srep01236 https://www.sciencedirect.com/science/article/pii/S240547121... http://journals.plos.org/plosone/article?id=10.1371/journal.... > probably doesn't have the data to really build a robust model It is both possible to build robust models on small datasets (and that data is shared, or more abundant than you expect). > Even major academic centers have relatively limited data for the number of permutations of health possibilities. This is one of the problems they (the IT supplier) solved. They are able to build regulatory-proof models from 100.000's of permutations. Another, more recent, advance is in counterfactual analysis (what would have happened if this pneumonia patient also had COPD?). |
My hospital currently uses Allscripts, we have care pathways, and when I want to order something for a patient of mine (because I think the patient needs it) that isn't in the care pathway, I just order it. It seems that what they are trying to do is 'Nudge', in the Thaler sense, providers to do what they suggest is the most efficient pathway. Would love to see a randomized trial of giving some providers this nudge and others the current pathway to see which is most effective. But what I often see is that providers have learned behaviors from years of training where they 'need' tests X, Y, and Z for disease Q, so without extensive education, they still tend to order those things.
edit: just saw that ballenf beat me to this punchline already.