TriNetX NLP Service
Extract Clinical Facts from Physician Notes and Clinical Reports
TriNetX Natural Language Processing (NLP) Service
The TriNetX NLP service utilizes sophisticated algorithms to extract clinical facts from physician notes and clinical reports, links them with other Electronic Medical Record (EMR) data, and makes the combined data available for assessing study feasibility, protocol design, site selection, and subsequent identification of patients for clinical trials.
The TriNetX NLP service is a turn-key solution that provides access to data derived from clinical documentation including:
Find New Facts in Unstructured Data
The TriNetX NLP service mines unstructured data, such as measurements and observation on ECOG performance status for oncology, NYHA classification, Ejection Fraction, and Corrected QT Interval for cardiac studies.
NLP also collects information from clinician notes for patients whose hospital medical records may be incomplete due to visits to multiple healthcare facilities.
Extracted data is subsequently mapped to standardized clinical terminologies that can be easily analyzed by researchers using TriNetX Live.
Deep experience in healthcare
Unparalleled accuracy across data domains
Comprehensive understanding of multiple languages
“With the TriNetX NLP service, we are able access data that our researchers have been very interested in for some time, extracting this data from our clinical text reports helps our investigators better define and identify patient cohorts, and provides a larger data set for our academic and industry clinical research collaborations.”Jack London, PhD.
How Does the TriNetX NLP Service Work?
The TriNetX NLP service runs locally on a TriNetX appliance within the healthcare organization. A healthcare organization uploads documents into a target directory, along with the associated metadata, and the NLP service processes the documents, extracts facts, and associates them with patients and encounters. The NLP service then inserts these facts into the organization’s TriNetX database, making them available on TriNetX Live.