Complimentary from the publishers of Predictive Modeling News April 1, 2013 | |||||
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"Some of the advanced
web-based CDHP consumer-focused web pages that help consumers manage
their first-dollar services could add new sources of data for PM models.
To the extent any of these consumer-centric data items and patterns of
out-of-pocket spending could be incorporated into models, this could
represent a new frontier for PM methodologies. As new mHealth and
consumer-focused eHealth web-based tools come online, this type of
consumer-centric input into PM models and analytics is likely to become
ever more important.” Jonathan Weiner DrPH, Professor and Director of
the Center for Population Health IT and CEO of the ACG Team, Johns
Hopkins University |
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Cox Proportional Hazard Models were applied
to a set of oncology drugs in the United States to perform
predictions...The Cox model shows that for each additional month since
FDA approval, the “risk” of a price increase increases by 0.7%. Excerpted from: Predictive Modeling News, Volume 6, Number 4, April 2013, Predicting Price Changes of Oncology Drugs in the United States |
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Cancer Researchers Mine Big Data To Individualize Treatment Information Week, March 28, 2013 |
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New Model Predicts Hospital Readmission Risk ScienceDaily, March 25, 2013 |
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Big data driving analytics investments Healthcare IT News, March 22, 2013 |
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Predictive Analytics & Patient Care Examiner, March 19, 2013 |
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3 Questions Hospital Leaders Should Ask When Using Big Data Becker's Hospital Review, March 15, 2013 |
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