Health Language Blog

Webinar Recap: Applying AI in Healthcare: Practical Applications of Clinical NLP to Drive Value in Your Organization

Posted on 03/11/20 | Comments

AI in Healthcare:  Practical Applications of Clinical NLP

While there’s been a lot of buzz about the promise of artificial intelligence (AI) in healthcare, health leaders are recognizing that AI holds the potential to diagnose and treat disease, improve processes, and better manage underlying operational, financial, and patient health data through which they can innovate and maximize value.

Specifically, within healthcare, Natural Language Processing (NLP), a specific branch of AI, has quickly proven value by enabling healthcare organizations the ability to efficiently leverage unstructured data, which represents nearly 80% of all healthcare data.

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Topics: NLP, Natural Language Processing, unstructured text, quality measure reporting, clinical natural language processing, cnlp, sepsis detection, risk adjustment

The Strategic Role of Health Plans and Providers in the Opioid Battle

Posted on 01/29/20 | Comments

Is your organization equipped with the right code sets?

The opioid crisis remains a critical public health issue. Every day more than 130 die from overdosing on opioids, and current industry estimates suggest that the total economic burden related to misuse alone in the United States is $78.5 billion a year, including the costs of healthcare, lost productivity, addiction treatment, and criminal justice involvement.

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Topics: value sets, MIPS, CMS, quality measure reporting, HEDIS, opioid epidemic, opioid crisis, PQA Quality Measures

From Data to Intelligence: The Path to Improving Plans’ Performance

Posted on 01/08/20 | Comments

The Value of AI in Healthcare 

There’s been a lot of buzz about the promise of artificial intelligence (AI) in healthcare. We’re moving rapidly from hype to real-world use cases in which health leaders recognize that AI holds the potential to diagnose and treat disease, improve processes, and better manage underlying operational, financial, and patient health data through which they can innovate and maximize value. 

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Topics: Health Plans, NLP, unstructured text, quality measure reporting, clinical natural language processing, patient risk, cnlp, Medicare Advantage, HEDIS, Star Ratings, member health

Webinar Recap: Investing for the Future:  The ONC and CMS Proposed Rules on Interoperability

Posted on 10/21/19 | Comments

The proposed rules on interoperability released earlier this year by the Office of the National Coordinator (ONC) and Centers for Medicare & Medicaid Services (CMS) have generated a lot of industry chatter. More than 1,000 organizations submitted comments addressing the draft rules, which many believe are very ambitious in scope. While the two regulatory bodies have much to consider, one thing is certain: the final rules will create a new paradigm for health data management and governance in today’s healthcare organizations that is intended to improve interoperability and empower patients.

A recent webinar hosted by Health Data ManagementInvesting for the Future: The ONC & CMS Proposed Rules on Interoperability—explored the critical elements in the proposed rule and how they could impact payers, providers, and health IT vendors. Mark Fuchs, director of market research for Wolters Kluwer Health Language Solutions and Bob Hussey, founder and principal of RGH Health Consulting, LLC, reflected on the industry’s goals in advancing access to data and interoperability and the steps payers and providers can take to prepare and invest in their data today.

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Topics: medical data, semantic interoperability, interoperability, CMS, government, ONC, quality measure reporting, data blocking, proposed rules

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