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

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: 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

NLP: Unlocking the potential of unstructured text in healthcare

Posted on 05/30/17 | Comments

Hospitals and health systems are sitting on a wealth of patient information that has potential to transform care delivery. Yet analytics infrastructures designed to fuel performance improvement have traditionally overlooked much of that data because it resides in health IT systems as unstructured free text.

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Topics: NLP, Natural Language Processing, unstructured text