Linguamatics is pleased to congratulate US healthcare system Mercy on their recent award win at the 12th Gateway to Innovation conference. Mercy won the Innovative IT Project of the Year Award for using Linguamatics I2E Natural Language Processing (NLP) solution to extract clinical analytics insights from their Electronic Health Records (EHR) notes for cardiac patients.
Mercy Technical Services provides contract research services for medical device and pharmaceutical clients to support use of real world evidence (RWE) in Food and Drug Administration submissions. This award recognizes a project that demonstrates value or impact to the organization by solving a business problem or by addressing a specific strategic objective for the company.
NLP used to Extract Real World Evidence from EHRs
As a large health system with a mature and consolidated Epic EHR system, Mercy has a significant data set of patient treatments and outcomes. There is a multitude of information documented in the EHR, such as lists of specific symptoms, diagnoses derived from echocardiogram reports, and certain benchmarking classifications. Since typically 80% of this information is unstructured text, many valuable clinical insights are unavailable in discrete fields, and therefore vital patient information can be trapped when making clinical decisions.
NLP text mining platforms like Linguamatics I2E extract information from unstructured text-based EHRs and transform it into actionable insights that can be placed into a dataset and analyzed.