analytics

Unlocking Healthcare’s Big Data with NLP-powered Ambient and Augmented Intelligence

Unlocking Healthcare’s Big Data with NLP-powered Ambient and Augmented Intelligence

Jul 11, 2018

NLP technologies have reached an inflection point with the emergence of advanced deep machine learning methods that are on-par with humans for an ever-increasing list of core natural language skills, such as speech recognition and responding to questions. NLP is particularly well suited to address two huge problems in healthcare – easing the clinical documentation burden for clinicians and unlocking insights from unstructured data in EHRs – but there are powerful new use cases also emerging.

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Playing the Field

Playing the Field

Jan 26, 2017

We don’t mean social dating, so don’t get too excited. We are referring to field care management,...

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Bridging Genomics-Health IT Gap for Precision Medicine

Dec 19, 2015

What are the real challenges to making precision medicine a reality? Given challenges associated with implementations & interoperability, how will healthcare begin to address an additional stakeholder whose data sets are much larger and bring these insights into the clinic in an actionable way?

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Is the Clash of Cultures Slowing the Adoption of Clinician Use of Analytics?

Oct 13, 2015

This Domain Monitor digs deeper into the evidence-based medicine debate to see if there are other ways to frame the discussion and could open up ways for data science to uncover local patterns beyond global means that could provide physicians with the data they need to practice the art of medicine while also being scientifically based and evaluated. The timeliness of this debate is important; as interest in precision medicine and personalized approaches to therapy grows, we will need to manage the tensions that could possibly emerge between Population Health Management and the world of n=1.

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Emergence of Medicine-as-a-Service (Beyond the Pill)

Aug 20, 2015

The move to Value Based Care (VBC) is changing the relationships that pharma has historically had with both payers and providers. The growing chronic disease burden, rise of digital health and commoditization of many drug-disease areas is forcing a rethinking of the underlying pharmaceutical (pharma) business model.

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