Linguamatics I2E recognized for its unique and dynamic approach to meeting specific user needs across the industry

SANTA CLARA, Calif. — Nov 14, 2018 — Based on its recent analysis of the global natural language processing (NLP) in life sciences Artificial Intelligence (AI) market, Frost & Sullivan recognizes Linguamatics with the 2018 Global Product Leadership Award for its industry-leading I2E NLP text mining platform. This intelligent solution generates insights from a wide range of unstructured and semi-structured data, empowering clients to efficiently integrate AI into their operations.

"I2E's data-driven query development approach ensures reliable results even where there is no annotated training data available. It can obtain actionable results from unstructured data up to 1,000 times faster than the traditional keyword-based research," said Kamaljit Behera, industry analyst for Frost & Sullivan. "Linguamatics’ user-focused approach in product development differentiates its solutions from competitor products. For example, Linguamatics has also created a separate interface for less experienced users, allowing them to find and use optimized queries that have been previously created and published, thus making it easy for new users to access the platform’s power for their application areas. Furthermore, the platform employs intuitive reporting to present extracted information in a structured form."


This month, over 100 life science and healthcare informatics professionals met at the Linguamatics Text Mining Summit 2018 in Portsmouth, NH.

Attendees from multiple pharma companies presented valuable new use cases on how they are using Linguamatics I2E’s Natural Language Processing (NLP)-based AI technology to solve big data challenges from bench to bedside – mining unstructured real world data for rapid reporting of patient trends; discovery of new therapeutic indications of drug targets; developing novel biologics; and supporting risk management and drug safety.

Presenters from healthcare shared how they unlock insights by mining Electronic Health Records (EHRs) in some of the most innovative areas in healthcare today - including real world evidence for clinical outcomes; streamlining prior authorization and medical review workflows; and identifying clinical care gaps.


Use case presentations and training workshops will highlight innovative uses of Linguamatics NLP-based AI technology

Boston - October 9, 2018 - Linguamatics, the leading natural language processing (NLP) text analytics provider, today announced that multiple top-tier biopharma firms and healthcare organizations will share best practices and present a variety of use cases at the upcoming Linguamatics Fall Text Mining Summit. At the October 15-17, 2018 Summit in New Castle, N.H., Linguamatics clients, staff, and other members of the text mining technology community will exchange ideas, network, discuss industry trends, and explore the latest NLP text mining enhancements.  

Featured presenters include representatives from Agios Pharmaceuticals, Atrius Health, Bristol-Myers Squibb, Eli Lilly, Glaxo-SmithKline, Mercy, Novo Nordisk, Regeneron Pharmaceuticals, Sanofi, and Secure Exchange Solutions. Use case presentations and training workshops will highlight the wide range of ways organizations are leveraging I2E, Linguamatics’ powerful NLP-based AI technology, to extract actionable insights from the huge amount of unstructured data available in healthcare and the life sciences.

Key use case presentations cover a diverse range of application areas including:


Integrated NLP data management solution speeds clinical data abstraction and curation for disease registries, clinical research and quality reporting


Collaboration addresses major bottlenecks in prior authorization and medical review

Cambridge, England and ROCKVILLE, Md. — June 26th, 2018 — Linguamatics, the leading natural language processing (NLP) text analytics provider, and Secure Exchange Solutions (SES), a market leader in enabling the secure exchange of health information, today announced the selection of Linguamatics Health as the NLP platform for SES SPOT, a solution that, when combined with SES Fetch, streamlines clinical information exchange and automates the review process.

Inefficient medical review processes (either before or after submitting claims) are major contributors to rising costs in healthcare systems. SES SPOT was developed to evaluate clinical information to help control costs and improve outcomes so that patients receive the appropriate care rapidly, reducing manual effort for providers and public or private health plans, and providing the opportunity to dramatically save time and money.

SES SPOT includes Linguamatics I2E to provide Artificial Intelligence (AI) to extract information from both free text and codified data in an electronic medical record, to compare extracted data with guidelines, and to return evidence, recommendations and an audit trail to automate or semi-automate approval of claims.