Health IT Outcomes: “NLP, AI, and machine learning: Complementary technologies for advancing patient care”

August 15 2017

Interest in artificial intelligence (AI), particularly natural language processing (NLP) and machine learning, has grown significantly within the healthcare community in recent years, as vendors, researchers, and providers look for ways to transform medical research and care through technology.

How do these techniques work? Machine learning can help to solve complex issues by analyzing existing data from sources such as electronic health records (EHRs), but often the data contained within EHRs is “trapped” in unstructured medical notes. NLP can interpret structure and meaning in this unstructured text, and make critical information accessible to machine learning applications.

Read the full Health IT Outcomes article to find out more about how the combination of NLP and machine learning can deliver a powerful solution for advancements in the understanding and delivery of care.

Read the full article

About Simon Beaulah:

Simon Beaulah is Linguamatics’ senior director of healthcare and is responsible for the company’s healthcare products and solutions, including applications for clinical risk models, population health, and medical research.