Health Language Blog

The Crack Down on Silos of Patient Data: CMS and ONC Interoperability Rules Hit Health Plans

Posted on 08/30/19 | Comments

Earlier in the year, the Office of the National Coordinator (ONC) and the Centers for Medicare and Medicaid (CMS) proposed rules on interoperability, data blocking, and other activities as part of implementing the 21st Century Cures Act. The proposed separate but related rules would require that patients have easy access to their health data. As described by ONC, the rule would “support seamless and secure access, exchange, and use of electronic health information.”

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Topics: medical data, interoperability, government, ONC, data blocking

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

AI Image

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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

Webinar Recap: Applying AI in healthcare: Challenges, opportunities, and emerging applications

Posted on 11/19/18 | Comments

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Topics: NLP, Natural Language Processing, Reference Data Management, artificial intelligence, Machine learning

Breaking Down the Data Silos: How reference data is the cornerstone of an overall data management strategy

Posted on 05/09/18 | Comments

Providers and payers face growing pressure to control costs, increase profitability, and succeed with value-based care. Healthcare executives must turn to data as their strongest ally to inform decision-making and drive performance improvement. Yet many organizations fail to extract the full value of their data assets due to fragmented operations, ineffective data governance, and IT structural limitations that create data silos across an enterprise.

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Topics: Reference Data Management