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Healthcare organizations’ interest in artificial intelligence (AI) has given rise to technologies and tools to help deploy machine learning products and services that achieve everything from streamlining processes to saving lives.
Natural Language Processing (NLP), along with business intelligence (BI) and data integration, have topped the list of foundational healthcare AI technologies. While text mining approaches to build AI applications are nothing new, NLP provides the contractual and regulatory support specific to healthcare that make it extremely valuable.
It’s clear AI is demonstrating both its value and usability in a healthcare setting, but not all organizations are approaching it the same, and that has a lot to do with where they are in their journey.
Continue reading at healthcarebusinesstoday.com
In a strictly fee-for-service model, revenues at our independent practice would have plummeted, and it is not clear that we would have lasted more than a few weeks without significant cuts. But …
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