Health Language Blog

Overcoming the Complexity of Customizable Data

Release of 2017 ISA is Good News for Interoperability

The Impacts of the 21st Century Cures Act

New Measures Increase Focus on Semantic Interoperability

Meaningful Analytics: Improving Data Integration and Quality by Leveraging the HIE Webinar Recap

CMS Audits Raise the Bar on Patient Communication

Four Reasons Healthcare Organizations Need to Simplify the Documentation of the Clinician Diagnosis Process

Unspecified Codes: Know Your Financial Exposure

What is Semantic Interoperability?

Terminology Server on FHIR at HL7 Connectathon 13

Is Your Patient Communication Getting Lost in Translation?

New MACRA Measures Sharpen Focus on Semantic Interoperability

The Importance of Standardized Healthcare Terminology

FHIR: An Evolving Opportunity

Leveraging Administrative Data for Better Quality Assessment

RxNorm: Addressing Medication Information Exchange

LOINC: A Better Path to Laboratory Data Exchange

SNOMED CT: Why it matters to you

The Role of Healthcare Data Governance in Big Data Analytics

Medical Billing and Coding:  Exciting Changes Ahead

Hierarchical Condition Categories Part 1: What’s all the Buzz About?

How to Use Standardized Healthcare Terminologies to Meet Your Quality Care Goals

Mastering the Data Normalization Cycle

Maximizing MIPS Reimbursement

MIPS Raises the Stakes on Clinical Documentation and Quality Reporting

Implications to Using Old and Outdated Codes

Data Normalization: Mapping to Existing Standards vs Creating Local Standards

The Benefits of Mapping CPT to LOINC

Are you Dealing With Lackluster Data Analytics?

5,500+ Updates Are Coming to ICD-10

How to Normalize Your First Project with Your Data Normalization Solution

Webinar Recap: Code Groups – The Building Blocks for Your Analytic Initiatives

Webinar Recap: Code Groups - The Building Blocks for Your Analytic Initiatives

Establish a Governance Process with Your Data Normalization Solution

Prioritize Your Data Normalization To-Do List with an Impact Anaysis

Identify Constraints that May Impact your Data Normalization Plan

Why LOINC Promotes Semantic Interoperability

The Importance of Taking an Inventory of Your Data Normalization Needs

Four Reasons Data Normalization is Key to the Future of EHRs

How to Bridge the Gap Between SNOMED CT and ICD-10 CM

Two Common Data Normalization Use Cases

The Importance of Testing if Your Systems Are Ready to Process ICD-10

Remediate Your Clinical and IT Systems

Outpatient Claims: Optimize Clinical Documentation that Supports ICD-10

Why Do you Need to Map to LOINC?

The Difference Between Intensional and Extensional Value Sets

How to Minimize Lost Revenue Associated with Inaccurate Clinical Documentation

Why You Should Normalize Your Clinical and Claims-Based Data

How to Mitigate Risks Associated with the ICD-10 Conversion

How Provider Friendly Terminology can help the ICD-9 to ICD-10 Conversion

How to Get Executive Buy-In on Your Data Normalization Solution

Five Conflicts that Can be Avoided by Enterprise Terminology Management

Five Tips for Selecting a Vendor for the ICD-10 Transition

How to Ensure Your ICD-10 Remediation Plan Is Working Beyond October

Areas of Focus to Navigate from ICD-9 to ICD-10

3 Ways to Ease the Transition to ICD-10

Are You Ready for the ICD-10 Conversion?

An Overview of How to Get Started with a Data Normalization Solution

How to Increase Clinician Satisfaction By Mapping Clinical Terms to Standards

3 Benefits of an Enterprise Terminology Management Platform

Can Value Sets be Used Beyond CQMs?

How Enterprise Terminology Management Can Be Used for Clinical Alignment

How Caradigm is Leveraging Data Normalization to Enable Population Health

How SNOMED CT Compliance Will Benefit Your Patients

How to Use Code Groups for Cohort Rules Management

A Banking Analogy that Explains Semantic Interoperability

Pillars of an Enterprise Terminology Management Platform

How Code Groups are the Building Blocks of Important Health IT Initiatives

The Need for Enterprise Terminology Management in 2015

How to Overcome Semantic Interoperability Hurdles

6 Problems of Departmental Approaches to Terminology Management

Why It's Important to Automate the Terminology Mapping Process

What Are Code Groups and How Do They Relate to CQMs?

Understand the Three Levels of Interoperability

Why You Should Care About Semantic Interoperability in 2015 and Beyond

Challenging Terminology Domains for Data Normalization

What to Look for in a Data Normalization Platform

5 Trends Driving Data Normalization

4 Medication Use Cases that Require a Data Normalization Solution

3 Ways Semantic Interoperability Improves Your View of Patient Data

3 Reasons Data Normalization is Critical for Data Warehousing

3 Uses of Data Normalization for Real-Time Care Alerts

Data Normalization Use Case: Mapping Disparate Labs to LOINC

5 Benefits of Data Normalization with MediSpan, RXNorm and NDC

3 Ways Data Normalization Helps Improve Quality Measures and Reporting

3 Ways Data Normalization is Key to Link Claims and Clinically-Sourced Data

The Critical Role of Data Normalization in Healthcare

What is a Data Dictionary and What Role Does it Play in Semantic Interoperability?

3 Things to Look for in a Data Normalization Solution for Healthcare

How Terminology Mapping Drives Semantic Interoperability

ICD-10: 5 Focus Areas That Should Not Be Delayed

Further Delay in ICD-10 Will Cost the Health Industry $1-6 Billion

Central Cancer Registries: Ensuring the EHR Meets MU2 Requirements

Evolving Insights into The Value of Health Information Exchanges

Health Language (June) “Did You Know?”

Little Savings on Tests Found Through HIE

2013 Terminology Trend Watch: A Mid-Year Update

Three Considerations When Mapping Your Lab Catalogue

Terminology & Analytic Challenges for Accountable Care Organizations

Empowering the Patient: Big Data and the Rise of DIY Healthcare

The Emerging Role of Clinical Terminology Management for Payers

Capturing Both Context and Conditions in Family Health History

Understanding HL7 and its Fit with Meaningful Use

National Library of Medicine and Meaningful Use

LOINC and Meaningful Use

How a Terminology Platform Can Support an EHR

A Guide to Different Types of Data that Need to be Normalized

SNOMED: What it is and Why it was Added to Stage 2 Meaningful Use

The Significance of Normalizing Your Data to the Future of Healthcare

Impact of Analytics on Medical Plans & Policies

Top Three Terminology Trends to Watch For in 2013