NLP Use Cases for Healthcare Providers

Much of the data captured in healthcare is unstructured, making it impractical for providers to use in everyday practice. Natural language processing promises to transform that data into valuable insights, leading to substantial savings in both cost and time as well as improving several aspects of care delivery.

In the rush to digitize the business and practice of healthcare with minimal disruption to clinical workflows, up to 80 percent of captured data is unstructured. This data represents a wealth of potentially valuable information, but its accumulated scale makes it impractical for providers to use it in everyday practice. The leading solution for turning unstructured data into valuable insights is natural language processing (NLP). While NLP is not plug-and-play technology it can address many problems facing the industry.