TriNetX Launches Human-Validated Facts from Clinical Notes

News related to:TriNetX · 2 min read

CAMBRIDGE, Mass., Nov. 10, 2026 /CourierPR/ -- TriNetX, the world's leading federated health data network, has introduced a new capability that aims to address the challenge of extracting reliable information from clinical notes. This innovation, NLP-extracted Facts from Clinical Notes, is now available in the TriNetX LIVE™ platform and in downloadable datasets, providing researchers with analysis-ready data points derived from over 800 million clinical notes and reports. By the end of 2026, this number is expected to reach approximately 1 billion.

The new feature is designed to enhance the trustworthiness of data extracted from clinical notes. TriNetX pairs artificial intelligence (AI) with deep clinical and informatics expertise to build human-in-the-loop pipelines. These pipelines are trained on a large corpus of annotated gold standard notes, ensuring that the extracted facts are validated against human-annotated notes. Each module must achieve a precision of 0.90 or higher against human-annotated notes to be considered reliable.

TriNetX's approach goes beyond mere extraction by testing every pipeline against expected clinical patterns. For instance, survival curves based on extracted Eastern Cooperative Oncology Group (ECOG) performance status showed worse survival for patients scoring 2 and higher. The company also implements continuous monitoring to refine models as new healthcare organizations participate in the clinical notes program and new note types arrive.

The new capability has already demonstrated significant improvements in data coverage and quality. For example, it has increased smoking status coverage from 22% to 67%. In a lung cancer cohort study, the extracted facts delivered six times more patients than structured data alone. Additionally, the ECOG and Karnofsky performance status were surfaced for 292,000 oncology patients, a number that would have been zero in structured fields.

August Calhoun, CEO of TriNetX, emphasized the importance of scientific discipline and human expertise in the company's approach.

TriNetX's network spans more than 14,200 clinical sites across 20+ countries, making it a powerful tool for researchers seeking trustworthy evidence. By combining global data, relentless integrity, and a unique fusion of AI and human intelligence, TriNetX accelerates discovery and drives better health outcomes worldwide.

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