Health Language Blog

Are You Allergic to Messy Data?

Posted on 08/21/19 | Comments

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

Webinar Recap: Leveraging AI to Solve Common Healthcare Challenges: Hear from the Experts

Posted on 08/07/19 | Comments

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Topics: semantic interoperability, data normalization, interoperability, mapping, quality reporting, Natural Language Processing, Reference Data Management, Machine learning, clinical decision support, quality measure reporting, value-based care, enabling interoperability, clinical natural language processing, patient risk, chart review, cnlp

Drugs Making a Mess of Your Data?

Posted on 07/31/19 | Comments

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

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