Talix Platform Unlock the Power of Unstructured Patient Data

Talix Technology

The Talix platform powers intelligent workflow applications that enable risk-bearing healthcare organizations to succeed in the age of value-based care.

Our workflow solutions for payers and providers require intelligent underlying technologies to work in unison and at scale.  We’ve engineered the Talix Platform to support the needs of thousands of end-users, anywhere in the world simultaneously.  Moreover, our platform architecture enables multiple SaaS application solutions in order to harness the efficiencies derived from being able to process millions of patient charts and encounter data.

The Talix Platform is comprised of several technology components, intricately linked, to power software applications at scale for healthcare payers and providers.  These components form the building blocks of artificial intelligence (AI).  AI requires large sets of data.  In healthcare, much of the data is found in the unstructured text (think, for example, physician notes on patient diagnosis and treatment).  In fact, 80% of patient data today is in unstructured format, whether it’s documented in a provider office visit, telemedicine, analysis of lab or imaging result, discharge summary, or surgical notes.

Understanding and analyzing healthcare information at scale requires highly sophisticated technologies purpose-built for specific objectives.  For Talix, these technologies support the enabling of value-based care, from financial (e.g., HCC coding for Medicare Advantage, ACA, Medicaid) to quality measurement (e.g., HEDIS measures) to clinical decision support (e.g., care gaps to close).

OCROCR performs an important role in turning images into machine-readable text. Talix has partnered with an OCR engine to develop its sensitivity to healthcare text and how patient charts are variously organized (e.g., forms, templates, headings, etc.). Years of Talix engineered refinement has yielded a market leading OCR application for healthcare

 

Our EZ Chart process sits between the Talix Platform and the Talix Applications it supports. Its function is to enable PDF readability and accelerate the speed for end users to navigate original documents. This invention is a Talix trade secret. Please contact us directly for more information.

Taxonomy - Colored
4 Core Technologies

The patent-pending Talix Platform has 4 core technologies—each designed for scalability, maximum efficiency, and accuracy. 

1 -  Our Healthcare Taxonomy represents all concepts associated with the clinical and non-clinical nature of healthcare, and how these concepts are semantically related to each other.  

2 -  Natural Language Processing (or NLP) possesses the ability to put text and structured data into context so an end-user can interpret results accurately.  

3 -  Clinical Rules express specific criteria or guidelines adapted to the practice of medicine.  

4 - Machine Learning automatically reads patterns in the prepared healthcare data set that has been organized, prepped, and contextualized after the application of OCR, Taxonomy, NLP, and Clinical Rules.  The findings are fed back into the technologies to improve results. 

High-Speed Data Connectors

Built into the Talix Platform are high-speed data connectors that provide our customers up to real-time access to patient encounters and chart data.  Our cloud-based scalable platform can process thousands of individual charts daily.  Thus, Talix can support peak load customer requirements against stringent deadlines.  Pre-built adaptors enable customers to access a wide range of patient data assets, including clinical, claims, membership, and provider data.  

Our customer deployment experience covers a wide range of patient data sources: PDFs, CCDs, CCDAs, Lab and Prescription data, Claims and RAPS files, and HL7 messages. 

In fact, Talix workflow applications are embedded into Electronic Health Records (EHRs) and Electronic Medical Records (EMRs) at the point of care where medical professionals (e.g., nurses, doctors, other allied medical professionals) want access to suggested HCC codes, for example, that may have been overlooked. 

Data Connector
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Talix Taxonomy and NLP Overview

The Talix Taxonomy maps out over 1,000,000 health concepts and over 2,000,000 relationships and is constantly updated, expanded, and refined – making it the most comprehensive map of healthcare concepts in existence today.  This twenty-year investment provides our customers with real-time access to healthcare knowledge as it evolves.  Our automated adaptors fetch the latest billing codes, medical concepts, clinical rules, etc. that are produced by tens of organizations around the world.  A physician-led supervised machine learning environment processes newly acquired concepts to rationalize the induction of concepts into our semantic taxonomy.  

Taxonomy
The Power of Symantics

The above example on Chronic Kidney Failure (also referred to as CKF, CKD, and CRF) helps explain the power of semantics underlying the process of what we call Natural Language Understanding (NLU).  NLU is a subset of NLP, and is critical to understanding the meaning of healthcare concepts in the text.  For independently sourced information on this complex topic see the Wikipedia page on NLU.

Semantics

The power of semantics.  Semantics is a branch of linguistics focused on assigning meaning to words or concepts.  Simply put, CKD in this example is assigned a semantic type called “disease state or syndrome.”  The surrounding attributes in the pale color express the various attributes of this disease state concept.  This is important for accurately identifying concepts in unstructured text.  The outer border of relationships in blue defines the context this concept has in the world of healthcare.  For example, we now can identify all of the symptoms associated with CKD.  Conversely, we can take any single symptom and understand its relationship with disease states.  This semantic two-way bridge between any two concepts helps us discover the context or meaning of that concept in a particular patient chart.

As shown in the image below, a patient chart can be processed instantly to identify the contextual relationships between any concept and it’s semantic type and the corresponding medical codes.

For more details on Talix's core technologies, please visit the sections below:

What is the difference between the Talix Taxonomy and off the shelf terminology or data dictionary sets in use today? Some companies trying to develop NLP and AI capabilities borrow or rent off the shelf healthcare taxonomies from academic institutions.  We decided against that and instead invested millions of dollars and thousands of hours by medical doctors and healthcare data scientists to build a powerful, proprietary solution that we can customize for a broad array of healthcare use cases.  For example, finding applicable HCC codes in a thousand page patient chart covering three years of patient history can be accomplished in milliseconds. In addition, our Talix Taxonomy is continuously updated to address the ever changing aspects of healthcare without having to rely on third party sources.  We integrate multiple terminologies representing different semantic types and interconnect concepts amongst these types.  For example, we capture NDC and RXnorm for drugs, ICD10 and SnoMed for conditions, and LOINC for labs, and so on.  Talix employs software, medical doctors, and scientists to build accurate relationships across concepts.