Natural language processing (NLP) is an important aspect of artificial intelligence that allows machines to process large amounts of data in human (natural) language - for instance, open-text fields or speech-to-text data. With NLP, just as with human language, it is critical that the machine is able to distinguish three things: content, concept and context.

The delivery of high performance clinical care – care that is reliable, efficient, and timely – is difficult. Even under the best marriage of clinical workflow and algorithmic modeling, unpredictable adverse outcomes can occur in the modern clinical practice. Many analytics vendors address this through human oversight of their artificial intelligence (AI) algorithms.