Analytics
Vice President Joe Biden unveiled the precision medicine database on Monday, speaking at its operations center at the University of Chicago. Genomic Data Commons is a National Cancer Institute initiative and is central to the National Cancer Moonshot and Precision Medicine Initiative.
Examining electronic health record data over a 10-year period from Geisinger Health System shows socioeconomic factors have an impact on adverse effects of overdoses.
Nicholas Marko, MD breaks down the differences between big data analytics and business intelligence, and explains how Geisinger chooses between centralizing and federating data.
Tribune officials said that partnering with Soon-Shiong will give them access to patents for machine vision and artificial intelligence to transform the publishing company.
The analytics vendor combined new capabilities including machine learning to automate the process of finding, stratifying, enrolling and communicating with patients eligible for CCM.
Big data poised to become its own platform, says Kleiner Perkins Caufield Byers Internet Trends Rep…
KCBP analyst Mary Meeker noted that the next wave of big data will be all about leveraging existing infrastructure for both analyst and knowledge workers to improve people’s lives and the ways businesses operate. That includes healthcare organizations.
Froedtert medical Director James Thomas said Watson for Clinical Trial Matching is expected to make better matches and do so more quickly.
Healthcare IT News and HIMSS are accepting topic and speaker proposals for Pop Health Forum 2016, scheduled for September 12-13.
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While precision medicine – the medical model that focuses on the customization of healthcare and tailors decision-making, practices and treatments to the individual – has been evolving in the last 20 years, but recent advancements are enabling it to be applied for treating diseases.
Geisinger's guiding principles for moving away from one-off analytics projects toward a data-driven…
Chief Data Officer, Nicholas Marko, MD, outlines three strategies that have helped Geisinger become a large scale data-centric organization.