On Demand Webinar
Hosted by: Health Data Management
Sponsored by: Wolters Kluwer
WHAT YOU WILL LEARN
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, and 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.
Natural Language Processing (NLP) is a branch of AI that’s quickly proving its value to healthcare organizations by enabling the use of unstructured text, which accounts for 80% of all healthcare data. Without NLP, accessing clinical insights locked in unstructured text requires manual review, which is time-consuming, expensive, and non-scalable.
NLP has the power to transform these workflows by quickly reviewing patient records and identifying relevant clinical insights that can improve high-value use cases such as clinical decision support, risk adjustment, and quality measure reporting.
4 Practical Applications of Clinical NLP in Healthcare:
Watch now to learn how hospitals and health plans can take advantage of clinical NLP to improve patient outcomes and enhance performance.
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Stephen Claypool, MD - Medical Director of Surveillance
Chris Funk, Ph.D - Sr. Medical Informaticist, Health Language
Brian Diaz - Sr. Director of Strategy , Health Language