It was recently announced that Linguamatics has been named in KMWorld’s list of “100 Companies That Matter in Knowledge Management” for the third year running.

We are honored and recognize that making this list year-to-year isn’t a given.

3 key reasons why Linguamatics still matters in knowledge management in 2016:
 

  1. Leading NLP and text mining technology

Compared to other NLP text mining providers, I2E stands out for its ability to answer a wide range of questions, from simple open queries to questions that need advanced linguistic analytics.

Since this time last year, Linguamatics has become the industry’s first and only federated text mining provider.

Instead of having to run many text mining queries separately across disparate data sources, I2E’s Connected Data Technology allows users to run a single 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.
 


I spent an informative and enjoyable day at the Findacure Scientific Conference last week, on Rare Disease Day, 29th February 2016. One of the aims of the charity Findacure is to find new cures for rare diseases by repurposing of existing medicines, and Dr Rick Thompson gave an excellent introduction to the problem, with an example of cost of illness modelling for Congenital Hyperinsulinism (CHI). This brought up some of the key challenges for disease modelling and understanding of rare diseases that were repeated again and again across the day:

  • Limited background information e.g. epidemiology and clinical burden of the disease
  • Paucity of knowledge of natural history of disease, and understanding of the disease heterogeneity
  • Little or no data on economic burden of the disease

The talks were varied, ranging from the cost effectiveness of potential drug repurposing programmes, the promise of big data and the ‘omics revolution in identifying suitable candidates for rare diseases, to how collaborations between academia, patient bodies, the pharma industry and rare disease charities are progressing discoveries and developments in certain areas.


(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.


Much of the work of researchers builds on previous discoveries, possibly best expressed by Isaac Newton: "If I have seen further, it is by standing on the shoulders of giants". In fact, one definition of research is: "a systematic investigation of sources in order to establish facts and reach new conclusions". To some extent, then, text analytics is a key tool for research, to enable users to see further and to reach new conclusions, by gaining a comprehensive and systematic view of what has already been found.

Clinical research is surely an area where re-use of data is of great scientific value. Using existing data to see further can bring benefits in speeding up drug development, and thereby enhancing patient care. Linguamatics have many customers using I2E to extract existing information from past and on-going clinical trials.

One example of data re-use is shown by Eric Su, Principal Research Scientist at Eli Lilly and Company. Eric uses I2E to extract summary statistics on clinical endpoints for therapeutic areas such as oncology and diabetes, to feed into clinical trial design and competitive environment analysis.


Natural Language Process (NLP) is a powerful tool for uncovering hidden secrets within unstructured text to analyze trends and reveal insights.

In healthcare, 60% of the 1.2 billion clinical documents produced in the US each year reside in unstructured narrative documents that would be largely inaccessible for data mining and quality measurement without NLP tools.

With NLP technology, organizations can unlock rich data to analyze patient populations and ultimately improve patient care.

In recent years, the use of NLP in healthcare has primarily been limited to disease-coding and research applications; however, Linguamatics was interested in discovering new opportunities that leverage NLP to enhance patient care and improve hospital efficiency.
 

Surveying healthcare system CMIOs

To that end, Linguamatics, with the support of the American Medical Informatics Association (AMIA), surveyed healthcare system CMIOs and asked them to share their visions for ways to leverage NLP to enhance patient care and improve hospital efficiency.

The participating CMIOs expressed overwhelming support for using NLP to help preserve the patient narrative and provide the insights required to meet accountable care objectives, including care delivery goals and the pro-active identification of high-risk patients.

They also voiced interest in leveraging NLP for a variety of other applications, including: