The mashup approach: How healthcare can save billions on AI and machine learning

Healthcare is at a two-tined fork: One strip leads to repeating the same mistakes others have already made while the more enlightened rail learns from those instead. That avenue is not a foregone conclusion. Hospitals' development and implementation of emerging technologies under the artificial intelligence, cognitive computing and machine learning rubric is nascent enough that there's time to choose which tine to take. Taking the well-trodden path will neither be easy nor exactly inexpensive, so why pick it? There's a lot to be gained -- and piles of money to be saved -- by learning from those who have gone before.