Is the patient the cure to AI healthcare ills?

Machine learning and artificial intelligence (AI) works best on large volumes of data. One would think that with all its complexity and its mountainous volumes of data, the medical industry would be the perfect place for AI to be a disruptive force. The problem isn’t that AI isn’t acquiring enough data to be a disruptive force. The problem is that it’s not acquiring the right data to solve some of the most egregious cost increases in the history of health care industry. In 2014, the U.S. Government Accountability Office reported $77.4 billion in improper payments of Medicare and Medicaid collectively. These payments, that were made in an incorrect amount or should not have been made at all, are contributing to excessive health care costs. Where’s the competition? Which brings to…


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