Coming of Age: Natural Language Processing in Health Plans and Payers
Linguamatics
How to Choose the Right Natural Language Processing Solution
These days there is a lot of talk about AI in respect to Artificial intelligence, but AI has another abbreviation, Augmented Intelligence. Artificial Intelligence implies a level of machine automated processing with no human intervention whereas Augmented Intelligence is the use of technology to enhance human performance. One AI technology that has been proven to support both interpretations is Natural Language Processing, or NLP for short. This is not a new technology, in fact, Linguamatics has been successfully completing projects using NLP since 2001.
For Payers and Health plans investigating new technologies there are many areas where NLP can support improved efficiency and business insights: HEDIS medical record review for hybrid measures, Medicare risk adjustment, clinical review/medical necessity and risk stratification to name just a few. The first four areas are about using NLP to improve efficiency of often manual processes by extracting key insights from medical records and summarizing the findings; the last example is a more automated analysis of large-scale populations to identify high risk members based on Social Determinants of Health and disease severity information.
The growth of interest in NLP and AI has led to more and more businesses claiming to have AI solutions that can help healthcare organizations to make the most of their unstructured data. The question is: how do you decide which NLP offering actually works, and which NLP solution is right for you?