Getting quality measures out of the basement

Getting quality measures out of the basement

August 21 2017

In the world of healthcare, quality measurement data collection and reporting is far from perfect. Patients move around, and transferring their health records from one organization to another creates a mass of documents that includes a large amount of unstructured data—around 80% of the medical record. Ignoring these unstructured notes often leads to reduced performance on quality measures.

HEDIS® (Healthcare Effectiveness Data Information Set) was “born” in 1991, making it a millennial in demographic terms. It was created to enable the health of patient populations to be assessed consistently, and has matured into a reliable means of comparing health plans and providers. Several HEDIS® measures combine structured and unstructured data, and Linguamatics Health, a natural language processing (NLP) platform powered by I2E, can help gather insights from unstructured text and move your HEDIS® scores “out of the basement,“ as every millennial’s parent aspires to do.

Read the full “Linguamatics Health for quality measures” application note to find out more about how powerful NLP solutions such as Linguamatics Health enable quality measures to be extracted automatically from clinical documentation, streamlining the collection of data.