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.
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 the TNX platform.
- Exposing important clinical data to more accurately define and identify patient cohorts.
- Widening your population database by exposing unstructured data that had been previously unavailable.
- Enhancing your value to collaborative networks.
- Increasing available data to enrich your own internal research projects.