I2E Natural Language Processing improves Medicare Advantage reimbursement, streamlines ACO reporting and reduces care gaps

Boston, USA – February 1, 2018 – Natural Language Processing (NLP) text analytics provider Linguamatics today announced the implementation of the Linguamatics Health enterprise NLP platform, powered by I2E, at Atrius Health to identify and extract critical clinical information hidden within unstructured patient data.

Atrius Health is a non-profit healthcare leader providing primary care and specialty care to more than 740,000 adult and pediatric patients across eastern and central Massachusetts. As a long-term Accountable Care Organization (ACO) for Medicare, commercial, and Medicaid patients, Atrius Health requires ready access to clinical notes and data to address reporting requirements and advance quality care initiatives, including programs that require the proper identification of at-risk patients to minimize care gaps.

“A vast amount of critical clinical data exists as unstructured text which is difficult to access and analyze. We are leveraging the power of NLP to replace the manual, inefficient data extraction processes that many healthcare organizations struggle with, in order to advance our quality care initiatives more rapidly,” said Joe Kimura, MD, Atrius Health’s chief medical officer. “Linguamatics NLP allows us to close gaps in care, enhance clinical documentation for chronic disorders, reduce litigation risks, and streamline Medicare ACO quality reporting.”


New innovations increase democratic and programmatic access to text analytics, expanding and speeding the transformation of unstructured data for knowledge discovery

Cambridge, UK & Boston, USA – December 7th, 2017 – Natural Language Processing (NLP) text analytics provider Linguamatics today announced that the company has extended its position as a leading provider of NLP text-mining solutions for healthcare and the life sciences with the introduction of multiple innovations in 2017.

New capabilities include custom search interfaces using I2E web portals, providing much larger, wide-ranging user communities with web access to the benefits of deep NLP capabilities. Programmatic use of I2E is enhanced by I2E AMP, which delivers high-throughput, fault tolerant workflow management for real-time document processing. AMP is deployed at multiple customer sites in a variety of workflows, including safety and regulatory affairs.

“Over the last year more customers have taken advantage of the capabilities of I2E with AMP for ETL (Extract, Transform, and Load) use cases,” said Linguamatics Chief Business Development Officer Phil Hastings. “It’s exciting to see the numerous ways customers are benefitting from the ability to transform their unstructured data to a structured format that can be loaded into data warehouses or data lakes, or consumed by downstream applications for broader access and decision support.”


Linguamatics I2E 5.2.0 was released at the beginning of October with availability for Enterprise and OnDemand users. It was hot on the heels of our I2E 5.1 release: we’re speeding the I2E release cycle up to release quarterly, so that you can access the latest I2E features faster.

With I2E 5.2.0, your indexes and queries are now organized in trees, which combine content stored locally and remotely i.e. on the cloud. And now it’s easier to find them: the tree views are dynamically filtered when you type the name of your index or query into the search box.

Our HTML results have had a refresh! Making it easier for you to quickly review your results and only show more advanced options when you need them.

Getting to the correct classes quickly is a key part of any query building, so in I2E 5.2.0, we made class matching up to 5x faster across I2E Pro, I2E Express, web portals and custom interfaces.

I2E 5.2.0 was launched at TMS, and everyone who took part in the workshops got a chance to use these new features and improvements in sessions such as the Query Hackathon and Leveraging New I2E Features.

Find out more about what's new in I2E.


Linguamatics I2E takes NLP Text Mining to New Heights

Last week I was at the Linguamatics Text Mining Summit – for a feast of new experiences. The Summit was hosted at Wentworth-by-the-Sea, a new venue for the TMS, and it was a wonderful showcase for 3 days of workshops, round table discussions, and talks.  

In addition to a new location, the attendees learned about fresh ways of approaching challenges across both life science and healthcare.  Some of the innovations came from the recently released features of I2E 5.2, many others from our customers.

A relatively new use of Natural Language Processing (a well-established AI technology), is to power machine learning (ML). David Milward (Linguamatics) discussed how I2E both utilises ML and can also effectively feed ML workflows with high quality data. Simon Beaulah (Linguamatics) gave an overview of new applications of I2E NLP in healthcare; several of which involve using NLP to fuel ML models. These include predicting 30-day readmissions; extraction of cardiac risk factors; or patient stratification of heart failure risk from echocardiogram metrics.

A broad range of NLP Text Analytics Applications across Life Science and Healthcare

Using text mining for ETL (extract transform and load) is becoming more widespread. Several of our customers talked about the power of NLP to extract structured data from unstructured text, and load the results into databases, warehouses or data lakes for broader access and decision support:


I always like the Fall, the "season of mists and mellow fruitfulness". It was the Autumn Equinox recently, and here in the UK, we are enjoying that lovely balance of weather at the turning of the seasons, the slow change from summer to fall, autumn fruits ripening, nights starting to draw in.

And of course this means our thoughts turn to… the Linguamatics Text Mining Summit! Held on the East Coast, this is an opportunity for our text mining community, across both healthcare and pharma industries, to come together. Attendees share best practice, get some hands-on training, and listen to talks on how others are finding real value from their textual data, using the power of NLP-based text mining.

This year, we will be in New Castle, New Hampshire, and the main talks will be on Tuesday 2nd October and Wednesday 3rd October. As always we have a balance of talks from our life science and healthcare customers, and from Linguamatics presenters, providing updates on current and future developments and plans. Our customer speakers encompass a wide range of use cases, spanning drug discovery and development, and into clinical delivery of therapeutics and better patient care.