Tag Archive: analytics

by John Moore | May 06, 2020

The Good, the Bad and the Ugly

As sheltering in place wears on, I keep all in perspective knowing others have it far worse than I. Some […]

by Jody Ranck | February 24, 2020

Hotspotting Revisited

Several years ago we highlighted the analytics work behind the Camden Healthcare Coalition’s hotspotting methodology used to identify super utilizers […]

by Brian Murphy | November 18, 2019

Claims Analytics Will Soon Not Be Enough for Effective Performance Improvement Programs

The organizations responsible for paying for healthcare – health insurance carriers, health plans, employers, and governmental organizations – rely on […]

by Brian Murphy | April 05, 2019

Webinar – 2019 Provider Analytics Market Trends

In this webinar, Chilmark’s Research Director and lead report author Brian Murphy presented key findings from our latest report, 2019 […]

by Brian Murphy | March 05, 2019

Healthcare Provider Analytics and Reporting: Expanding Beyond VBC Use Cases

We will release our newest report, 2019 Healthcare Provider Analytics Market Trends Report, in the next few days. This report […]

by Matt Guldin | January 23, 2019

Walgreens ‘Front Door to Care’ Strategy is Building Horizontally

Key Takeaways: Walgreens ‘front door to care’ strategy is built around multiple horizontal partnerships. There are questions about how quickly […]

by John Moore | October 01, 2018

Health Catalyst: Good Vision but Short of Grand

Health Catalyst (HC) is arguably the strongest, best-of-breed vendor for clinical data analytics in the market today. And as a […]

by Brian Edwards | July 11, 2018

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

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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