Last year ChatGPT exploded on to the scene, kicking off a flurry of technology development with impact across many industries. The technology underlying ChatGPT (known as large language models or LLMs) has actually been around and evolving for several years. And these...

This month's blog talks about the importance of unstructured data to achieving digital quality. Unstructured data is clinically valuable and likely here to stay, and NLP can help us embrace it to improve quality. The journey to digital quality is first and foremost a...

This month we are going to discuss what it takes to stand up a digital quality program. Most health plans are somewhere on this transformative journey, either in the planning stages or starting to experiment with potential models. If you are one of these health plans,...

We've seen profound innovations in Natural Language Processing (NLP) over the past 15 years, and we are now seeing those innovations crop up in healthcare, in areas like Value Based Care, Risk Adjustment and Quality Measurement. If you’ve dabbled in NLP for RA or...

Last month, the US Patent Office granted Astrata's first patent, Abstracting Information from Patient Medical Records, US 11,315,668 B2. This patent describes the Natural Language Processing innovations that power Astrata's Chart Review. This NLP technology surfaces...

One NLP engine to rule them all? Astrata's president explains why it's not that simple, how an NLP engine optimized for Risk Adjustment can let Quality gaps slip through the system, and why we need robust new technologies that can make Quality an equal player in...

NLP is gaining traction in both payer and provider markets because it can markedly reduce the extraordinary labor costs associated with measuring healthcare quality. I’m often asked about how we validate our NLP systems for measuring quality for programs like HEDIS®...