Health Language Blog

Lab Mapping...what the LOINC?!

Posted on 07/10/19 | Comments

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Topics: data normalization, interoperability, mapping, quality reporting, Natural Language Processing, Machine learning, clinical decision support, quality measure reporting, value-based care, clinical and claims data, enabling interoperability

Raising the Bar on Semantic Interoperability and Data Quality

Posted on 06/26/19 | Comments

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Topics: data normalization, interoperability, mapping, quality reporting, Natural Language Processing, Machine learning, clinical decision support, quality measure reporting, value-based care, clinical and claims data, enabling interoperability

Webinar Recap: How Quality Data is Key to Delivering Value

Posted on 06/13/19 | Comments

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Topics: data normalization, interoperability, mapping, quality reporting, NLP, Natural Language Processing, Reference Data Management, artificial intelligence, Machine learning, clinical decision support, quality measure reporting, value-based care, clinical and claims data, enabling interoperability

Webinar Recap: Quality Data: Three Steps to Simplify Data Governance, Enable Semantic Interoperability, and Enhance Your Reporting and Analytics

Posted on 05/30/19 | Comments

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Topics: data normalization, interoperability, mapping, quality reporting, NLP, Natural Language Processing, Reference Data Management, artificial intelligence, Machine learning, clinical decision support, quality measure reporting, value-based care, clinical and claims data, enabling interoperability

The Impacts of the 21st Century Cures Act

Posted on 01/17/17 | Comments

The 21st Century Cures Act was signed into law just last month.  This broad law reduces the bureaucracy for drug approval, provides billions of dollars to the NIH for research, and provides funding to state governments to deal with the opioid epidemic.  But along with these touted benefits, this law includes significant impacts for healthcare IT. 

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Topics: EHR, data normalization, interoperability, patient engagement, Consumer Friendly Descriptions, patient empowerment

RxNorm: Addressing Medication Information Exchange

Posted on 08/24/16 | Comments

Part Three of our Terminology Standards series introduced LOINC as the standard of choice for exchange of laboratory and clinical information. This fourth blog introduces RxNorm as the foundation for accurate exchange of medication and prescription information.

Health information exchange is a multifaceted undertaking that encompasses the introduction and adoption of a variety of industry standards to support interoperability. Just as LOINC addresses data exchange for laboratory information, RxNorm provides the foundation for sharing medication information.

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Topics: Standard terminologies, RxNorm, data normalization

LOINC: A Better Path to Laboratory Data Exchange

Posted on 08/17/16 | Comments

Part Three of our Terminology Standards series we introduced SNOMED CT as a comprehensive standard for exchanging clinical content in an accurate, meaningful way. In this installment, we explore use of LOINC for exchange of laboratory and clinical information.

Value-based care models demand more collaborative care delivery built on the timely sharing of critical patient information, such as labs, vital signs, or clinical documents. Because data is represented in different ways across local and disparate systems, healthcare organizations face notable challenges to sharing, exchanging, and aggregating data in an accurate, meaningful way.

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Topics: Standard terminologies, LOINC, data normalization

SNOMED CT: Why it matters to you

Posted on 08/03/16 | Comments

In Part One of our Terminology Standards blog series, we introduced the goal of using industry standards to achieve semantic interoperability and promote better information sharing. The second blog tackled coding and billing standards. This third installment describes the importance of SNOMED CT as the foundation for standardizing clinical content in EHRs.

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Topics: SNOMED, data normalization, interoperability, SNOMED CT, standards

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

Posted on 07/06/16 | Comments

Terminology Standards Blog Series: Part 1

In the seminal work Crossing the Quality Chasm, published by the Institute of Medicine in 2001, there was a clear call to action for the U.S. healthcare system. This work has driven much of what we are seeing in healthcare information management today. Crossing the Quality Chasm called for healthcare to be safe, effective, patient centered, timely, efficient, and equitable. The argument was made that the adoption of information technology is critical to meeting these goals. I would agree.

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Topics: terminology, semantic interoperability, data normalization, quality reporting

Mastering the Data Normalization Cycle

Posted on 06/28/16 | Comments

A healthcare provider or payer that goes through a data normalization project will want to make sure its investment in time and money continues to pay off down the road.

You’ve obtained executive buy-in, conducted a data inventory, identified key constraints, prioritized projects, established a governance structure, and embarked on your first initiative. Ideally your project resulted in more consistent and useful data, with demonstrable benefits for your organization. Your next order of business is to make sure your useful data stays that way. A healthcare organization that fails to continuously monitor its normalized model runs the risk of returning to its previous condition: data chaos.

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Topics: data normalization, governance, data normalization cycle