Kluwer, Health announced today it has expanded its Health
Language® Interoperability and Data Normalization Solutions
to include a suite of services designed to help payers, providers and
health IT vendors leverage exponentially increasing volumes of clinical
data. Health Language Data Normalization Services draws on deep
terminology management knowledge and clinical expertise that is now
powered by machine learning to reduce the time, resources and costs
associated with harmonizing data for interoperability and analytics
“Integrating clinical data is a real challenge for our clients. For
example, we’ve seen clients represent an A1C laboratory test over 100
different ways or manage over 500 representations of aspirin within
their medication lists. These variations make it nearly impossible to
share, analyze and use clinical data to improve patient outcomes and
reduce costs,” said Cheryl Mason, MHSI, Director of Clinical Informatics
Consulting at Health Language, Wolters Kluwer, Health. “We help clients
overcome these variations by mapping clinical data to standards that
power analytics, longitudinal reporting and feed into clinical decision
Today’s healthcare organizations increasingly acquire vast amounts of
clinical data from disparate sources such as EHRs, practice management
systems, laboratories, and pharmacies – each system encoding labs,
drugs, and other clinically significant information in a different way.
To overcome these widespread interoperability barriers, data must be
mapped to industry standards such as LOINC®, RxNorm and SNOMED CT® to
support industry initiatives like quality measures reporting, clinical
decision support as well as care and disease management programs.
Health Language combines unmatched industry expertise with advanced
terminology tools and finely-tuned matching algorithms powered by
machine learning. Wolters Kluwer clinical experts—each offering an
average of more than 25 years of healthcare terminology
experience—partner with healthcare organizations to analyze use cases,
create a strategic approach for their unique data normalization
challenges and efficiently map disparate data across domains such as
labs, medications, allergies, problems, diagnoses and procedures.
“Obtaining quality data remains one of healthcare’s greatest
challenges,” said Dan Buell, General Manager of Health Language at
Wolters Kluwer. “Our expanded services help healthcare organizations
tackle this challenge by building a foundation of normalized data to
enable semantic interoperability and enhance reporting and analytics.”
For more information on Health Language Data Normalization Services,
visit the Wolters Kluwer booth 1759 at HIMSS19
in Orlando, Fla.
About Wolters Kluwer
Wolters Kluwer N.V. (AEX: WKL) is a global provider of professional
information, software solutions, and services for physicians, nurses,
accountants, lawyers, tax specialists, and finance, audit, compliance,
and regulatory sectors.
The company provides expert solutions – a combination of deep domain
knowledge with specialized technology and services – that help
professionals navigate change, solve complex problems, and deliver
impact in their respective fields.
Headquartered in Alphen aan den Rijn, the Netherlands, Wolters Kluwer
holds market-leading positions in 40 countries globally, represents
customers across 180 countries and employs 19,000 people worldwide. In
2017, it reported annual revenues of €4.4 billion.
Wolters Kluwer provides trusted clinical technology and evidence-based
solutions that engage clinicians, patients, researchers and students
with advanced clinical decision support, learning and research and
clinical intelligence. For more information about our solutions, visit http://healthclarity.wolterskluwer.com
and follow us on LinkedIn
and Twitter @WKHealth.