I2E makes natural language processing-based text mining intuitive and interactive

SANTA CLARA, Calif. — July 20, 2017 — Based on its recent analysis of the Big Data text analytics market for the healthcare industry, Frost & Sullivan recognizes Linguamatics with the 2017 Global Frost & Sullivan Award for Enabling Technology Leadership. Linguamatics stands out in the natural language processing (NLP) market for its technology expertise and commitment to delivering exceptional value to clients in the US healthcare industry. The highly flexible and scalable Linguamatics Health platform, powered by I2E, is helping healthcare providers and payers to transition to value-based care.

Within the last year, Linguamatics introduced its fifth iteration of I2E, which includes cutting-edge capabilities such as the normalization of concepts and relationships for quick and comprehensive data retrieval regardless of format; advanced range research; and an extraction and search query language (EASL). The EASL can be generated external to the platform to support custom interfaces, queries in a human-readable format, and superior workflow automation.


I2E Natural Language Processing advances research and care delivery by mining clinical insights from unstructured patient data

Cambridge, UK & Boston, USA – June 22nd, 2017 – Market leading Natural Language Processing (NLP) text analytics provider Linguamatics today announced the implementation of the Linguamatics Health enterprise NLP platform, powered by I2E, at the University of Pennsylvania Health System for the extraction of actionable insights from unstructured patient data.

“We look forward to working with Penn Medicine to help them unlock valuable insights from clinical notes in order to advance research initiatives and enhance the delivery of care,” said Simon Beaulah, senior director of healthcare at Linguamatics. “Our growing community of academic medical centers across the country have deployed the Linguamatics Health platform, and are taking advantage of its ease of use, powerful NLP capabilities, rapid query development and successful integration with enterprise systems. Our platform is particularly well-suited for this environment because it empowers organizations to work independently, and get the data they want without requiring extensive services.”


Text Mining Platform I2E features in Best Practices Final and as a Best of Show Award Contender; Linguamatics CTO David Milward a Featured Speaker

Cambridge, UK & Boston, USA – May 22, 2017 – Leading Natural Language Processing (NLP) text analytics provider Linguamatics today announced plans to highlight the latest version of its text mining platform at this week’s Bio-IT World Conference & Expo in Boston. Bio-IT World has named Linguamatics I2E 5.0 a contender for the Best of Show Award, and Linguamatics’ customer Pentavere Research Group a Best Practices finalist.

The Best of Show Awards showcase exceptional innovation in technologies used by life science professionals. As a Best of Show Award contender, Linguamatics is also eligible for the Bio-IT World People’s Choice Award, chosen by votes from the Bio-IT World Community. Voting for the People’s Choice Award is open from 5 pm ET Tuesday May 23 through 1 pm ET on Wednesday May 24.

Bio-IT World also chose Linguamatics' customer Pentavere Research Group as a Best Practices finalist, based on their work using I2E to mine unstructured data for real-world evidence to improve health outcomes. Best Practices finalists are recognized for their outstanding examples of technology innovation, from basic R&D to translational medicine. Pentavere deployed I2E to effectively mine unstructured EHR data, expediting delivery of their product daRWEn™ to the Real World Evidence market.


It seems like there’s not much you can’t do, if you are as ingenious as our customers!  Want to understand your patients better? Use NLP. Want to visualise the world of chemical safety? Use NLP. Want to look at real world data for adverse events? Use NLP!

These were some of the topics presented by healthcare and life science customers, at our Spring Text Mining Conference in Cambridge UK (#LMSpring17). Attendees from the pharmaceutical industry, biotech, healthcare, academia, and partner vendor companies came together for hands-on workshops, round table discussions, and of course, excellent presentations and talks.

Huntsman Cancer Institute: Speeding Patient Care Alerts

Samir Courdy, Chief Research Information Officer and Director of Research Informatics at the Huntsman Cancer Institute, kicked off the day with a talk on “Navigating the Quagmire of Clinical Data in Free Text Reports”. The team at Huntsman are using NLP to structure and capture data that is currently only available in free text into their Clinical Cancer Research (CCR) database. This framework reduces the cost and work load for manual curation, and enables more effective identification of disease group patients. Queries developed at HCI have been shared with City of Hope cancer treatment and research center. Samir highlighted the importance and advantages of such community sharing of NLP resources for healthcare practitioners and for patients.

Figure: The workflow used at Huntsman Cancer Institute, to create structured data attributes from clinical notes, pathology & radiology reports, map the results into the HCI Clinical Cancer Registry. This workflow speeds patient care alerts.


Pharmaceutical companies can now extract competitive intelligence from Dow Jones Factiva content using Linguamatics advanced NLP-based text analytics

Cambridge, UK & Boston, USA – March 28, 2017 – Market leading NLP text analytics provider Linguamatics today announced a partnership with premium news content provider Dow Jones. The agreement allows pharmaceutical companies to extract key insights from Dow Jones Factiva utilizing Linguamatics I2E text mining technology.

The Linguamatics I2E platform is currently used by 18 of the top 20 global pharmaceutical companies. The Linguamatics-Dow Jones partnership helps users to derive key insights from Factiva content by leveraging advanced NLP to identify and extract critical concepts in a structured format for review and quick analysis. I2E eliminates the need for users to manually read through large quantities of documents to search for critical information. Instead, I2E rapidly connects relevant facts and relationships in a way that synthesizes knowledge and creates actionable insights.