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Big Data in Oncology Spotlight

IP Blog | Dave Melin | September 29, 2015

This week in health care trends, our big data in oncology spotlight includes how big data can cure cancer, using economics to evaluate policy, and the Census Bureau’s report of uninsured rates.

The articles below are from our dedicated Big Data in Oncology e-magazine. We’re constantly adding valuable content to this updateable magazine, so make sure to check our e-magazine frequently for new intelligence. You can follow us on Flipboard or Twitter, or just watch for the links to this and our other magazines in our regular weekly BioBlog emails. (Don’t get our emails yet? Subscribe here!)

big data cancer buttonCan Big Data and Analytics Cure Cancer?

With an expected increase in cancer incidence and decrease in oncologists, this article argues that big data and computer-assisted analysis is a big part of the solution to the increasing strain on oncologists.

The Value and Limits of Economic Evaluation in Policy Analysis

This post from HealthAffairs argues that “the U.S. reluctance to embrace cost-effectiveness analyses as a policy tool is misguided, particularly as concerns about the level and distribution of health care spending remain front and center” and that “policy researchers, analysts, and foundations should become familiar with economic evaluation tools and integrate them into their work and reports as a matter of course.”

Census Estimates Show Progress Toward ACA Coverage Goals — But There is More to Be Done

According to information recently released by the Census Bureau, between 2013 and 2014 there was a drop in the rates of uninsured Americans by “2.8 percentage points — which translates into 8.5 million fewer uninsured people.” At the same time, the total rate of uninsuredness, according to the report, is still above 10%.

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