Download Data Normalization

DATA
NORMALIZATION
Harmonize data from disparate sources
into standard terminologies
UNLOCKING THE VALUE OF YOUR DATA
In today’s healthcare world, patient information is spread across entire communities—each
with multiple IT systems. While syntactic standards such as HL7 define messaging structure
and aid in communication among disparate healthcare IT systems, there is no single, universally accepted standard for the language in the message. For an integrated healthcare system to
"understand" clinical data, the meaning of the data must be unambiguous.
INTEGRATED PATIENT INFORMATION
Diagnosis: Heart Failure
Labs indicative of hypervolumia
EMR
LAB
SNOMED:134401001
Left ventricular systolic dysfunction
Local Codeset: A352
BN peptide | 180 pg/ml
HOSPITAL
ICD-10: 150.20
CLAIMS
WAREHOUSE
EMR
LAB
Systolic (congestive) heart failure
LOINC: 30934-4
Natriuretic peptide B [Mass/volume]
in Serum or Plasma
PAYER
ICD-9: 429.9
Heart disease, unspecified
Local Codeset: 5839G2
Brain natriuretic peptide | 140 pg/ml
AMBULATORY
A semantically normalized information model is essential for the use of
evidence-based care protocols, quality improvement, and population health
management, as well as for HIEs, ACOs, PCMHs, pay-for-performance
programs, data warehousing, and other forward-looking initiatives.
How do I measure performance,
gain insights, and support
enterprise interoperability with
information that is semantically
fragmented?
SOLUTION OVERVIEW
Our solution establishes semantic interoperability within your healthcare IT
ecosystem. Inbound data from disparate sources is auto-mapped to standardized terminologies using powerful automated mapping algorithms. The
result is interoperable, industry-standard data for use in reporting, analytics,
data warehousing, and other enterprise applications.
IT Systems
Electronic Health Record,
Laboratory Information System,
Practice Management System, Claims
Warehouse, Clinical Data Repository
NDD
INBOU ATA
« Ambulatory
« Acute
« Payer
« HIE
« ACO
AP
Data Organization
Context-sensitive evaluation of
hierarchical sets of associated data
elements
IR
EQ
U
Disparate Terminologies
ICD-9, ICD-10, SNOMED CT®,
CPT-4, LOINC, HCPCS,
NDC, RxNorm, proprietary,
unstructured/free text
T
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PPIN
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MA
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MALIZEDDATA
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AP
IR
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Mapped Results
Terminology services can also be used to
return data in the native terminology
of the source system
» Reporting
» Analytics
» Notifications
» Stratification
» Insight
Standard Clinical Terminology
Data can be safely exchanged and
analyzed such that each clinical system
can ‘understand’ the data
that it has received
CPT is a registered trademark of the American Medical Association
System Learning
Continuous map creation due to full
runtime implementation and ability for
system to ‘learn’ new maps in real time
SOLUTION CAPABILITIES
Auto Mapping
Algorithms
Terminology
Management
Normalize full catalogs
or distinct elements from
cryptic and poorly maintained
source data into standard
terminologies.
Map, model, and manage local
terminologies alongside over
180 standard and enhanced
terminologies and nearly one
million context-specific
synonyms.
Real-Time
Integration
Web-Based
Access Portal
Integrate normalization
services seamlessly into your
enterprise using our web
services and APIs.
Collaborate on mapping, task
review, and algorithm tuning,
while maintaining full content
versioning and a complete
audit trail.
EBV Quant By PCR Whole Blood
LOINC
5002-1
Epstein Barr Virus:
DNA (Presence) in Blood by Probe
and Target amplification method
DRUG
cod ER tab .1gm
RxNorm
248550
Codeine 100MG Extended Release Tablet
DATA NORMALIZATION
LAB
DATA NORMALIZATION
AUTOMATED MAPPING ALGORITHMS
OUR ENTERPRISE TERMINOLOGY
MANAGEMENT SOLUTION
We provide you with software, content, and consulting solutions that map,
translate, update, and manage standard and enhanced clinical terminologies.
Our global team of developers, medical professionals, terminology content domain experts,
and other healthcare information technology specialists have built an enterprise terminology
management platform that enables the information liquidity required to support some of
healthcare's toughest challenges, such as meaningful use compliance, ICD-10 conversion,
population health management, analytics, ACOs, and semantic interoperability among systems.
© Wolters Kluwer Health 2014. All Rights Reserved.
HL-DN-0414