Big Data NLP for Improved Healthcare Outcomes
by Linguamatics Health
Shifting payment models based on quality and value are fueling the demand for comprehensive insights from Big Data into the health of patient populations. However, because 80% of clinical data is unstructured, natural language processing (NLP) is becoming a vital part of any analytics department, to support risk stratification, quality measures, and care coordination applications.
NLP can be used to support multiple application areas including predictive risk models, population stratification, quality measures, and care coordination, using a variety of technology enhancements such as semantic search, data discovery, and information extraction. As a result of the demand for population-level insights and real-time patient surveillance, the adoption of NLP technologies will accelerate as healthcare organizations seek to unlock value from Big Data.