(Cambridge, UK & Boston, USA - 10 March 2016) Linguamatics has been named in KMWorld’s list of “100 Companies That Matter in Knowledge Management” for the third year running. Now in its 16th year, the KMWorld 100 Companies That Matter list is compiled by KM practitioners, theorists, analysts, vendors and their customers and colleagues.

“It is an honor to be recognized once again by KMWorld as one of the 100 companies that matter in knowledge management,” comments John M. Brimacombe, Executive Chairman, Linguamatics.

“For the past 15 years, Linguamatics has pioneered innovative text mining technology to the life sciences, healthcare and related industries. The continued innovation in the last year has ensured Linguamatics has once again made this prestigious list of leading technology vendors.”

Since this time last year, Linguamatics became the industry’s first and only federated text mining provider. I2E’s Connected Data Technology allows users to run a single NLP query simultaneously over multiple data sources whether they are located locally, on Linguamatics’ cloud-based I2E OnDemand platform, or on third party servers elsewhere in the cloud. In 2015, the company saw a 30% increase in its total number of customers and 100% growth in its  healthcare business, where Linguamatics presence is becoming increasingly important.

Linguamatics is pleased to announce the latest release of its award-winning natural language processing (NLP)-based text mining and analytics platform, I2E 4.4.

This latest release expands the range of online content access available through I2E OnDemand to include FDA AERS data, from the US Food and Drug Administration’s Adverse Events Reporting System.

Software enhancements

I2E 4.4 also adds a number of important software enhancements, including an NLP plugin framework to support non-English languages, enhanced capabilities for viewing chemical structures, better extraction of information from tables, and a new human - readable query language.

FDA AERS is typically used to monitor and discover safety issues in drugs released for public use. This new addition to Linguamatics’ cloud based I2E OnDemand platform allows users to immediately start mining this valuable safety data source without the overhead of downloading, processing and maintaining the information themselves.

The availability of a new multi-language plug-in framework in I2E 4.4 builds on the theme of this release to extend text mining to a wider range of content.

Text miners can now analyze documents written in a new language by plugging in an appropriate third-party language module.

Extended support for PowerPoint, Word and Excel

I2E 4.4 also delivers a number of further improvements, such as extended support for Microsoft PowerPoint, Word and Excel documents. This allows efficient review of document repositories, including extraction of information from tables.

A new speaker has just been announced for the annual Text Mining Conference hosted in Cambridge, UK. This annual conference has been running for over 10 years and features text analytics use cases particularly across pharma and life science. Information professionals across top 100 pharma and life science organizations gather to share insight, best practice and discuss the future of text mining technology.

Eleanor Yelland will be presenting on: I2E in mental health: Analysis of online transcripts used in cognitive behavioural therapy.

Eleanor is a PhD Student in the Division of Psychiatry at University College London. Her PhD is a partnership with Linguamatics and Ieso Digital Health, who provide text-based online cognitive behavioural therapy.

The project focuses on the language within the treatment sessions and how text mining methods can be applied to best use this to learn about and improve treatment provision. The work primarily involves identifying potentially relevant linguistic characteristics, measuring these and building statistical models of their relationship with therapy outcome scores.  

This adds to a world-class list of speakers across pharma and healthcare who will be presenting at the conference, including:

Jonathan Hartmann, Georgetown University Medical Center: Evolution of I2E to improve patient care

Thierry Breyette, Novo Nordisk: Generating Actionable Insights from Real World Data

Cassie Gregson, AstraZeneca: Application of Text Mining to Clinical Research

Scientific papers are mainly written in English, so it is not surprising that most scientific text mining has concentrated on just one language. However, as the use of text mining has become broader, moving from early research through to clinical and post-marketing, there is increasing need to be able to deal with other languages. In the pharmaceutical sector, this is seen in projects ranging across voice of the customer, analysis of sales reports, adverse event monitoring, patent analysis, and checking the quality of regulatory submission documents. In healthcare, hospitals often have a multinational presence, and a need to collect information from records written in several languages.

Multilingual processing not only allows text mining in other languages (for example, a French medic analysing French electronic medical records), but also allows easier mining of foreign language documents, or across different languages. A couple of examples:

  • An English researcher can mine Chinese text using concepts they have found using the English synonyms, extract the relationships of interest, and then use something like Google translate to show the evidence within the original text.
  • A French medic can automatically link their medical records with relevant clinical trials in English

Linguamatics recognized this growing need and, in I2E 4.4, has provided a platform that can deal with multiple languages. It can even deal with cases such as patent documents where a single document contains text written in multiple languages, ensuring that an English synonym for adverse events such as “die” does not hit the German determiner “die”.

Faced with the challenges of Accountable Care, the triple aim and Meaningful Use, NLP will help CMIOs to improve insights into patient and population health.

CAMBRIDGE, UK and BOSTON, USA - November 10th, 2015 – Chief Medical Informatics Officers (CMIOs) at US healthcare providers see that Accountable Care, the triple aim and Meaningful Use are all creating an unprecedented demand for more insights from patient data. Since much of the key information is locked away in unstructured data, the overwhelming majority of CMIOs believe that rapidly increasing the use of Natural Language Processing (NLP) will be a critical step in accessing this data and thus improving the delivery of patient care. These are the key findings of a recent study prepared by Linguamatics, with support from the American Medical Informatics Association (AMIA).

Linguamatics commissioned their “Assessing the Role of Clinical NLP in the Delivery of Patient Care” report, with the aim of discovering how CMIOs envisage using NLP in new applications that both enhance patient care and improve hospital efficiency. The report succeeded in uncovering four key areas where CMIOs foresee key developments:

• The CMIOs surveyed considered the potential improvement in the quality of care and patient safety, and the resulting reduction in costs that could be generated with predictive models, to be the most important application involving NLP. For example, CMIOs expressed interest in applications such as predicting hospital readmissions or outmigration/patient leakage.