Complimentary from the publishers of Predictive Modeling News November, 2015 | |||||
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"One of the greatest
challenges with supplemental data is acquiring timely data to use in
representing a real-world changing environment. Models that rely on
supplemental data from medical documentation or patient lifestyles
create opportunity to improve patient care and outcomes, but it is less
safe than ever to assume outside factors will be constant. Whether
modeling product markets or predicting patients who are at greater risk,
there is tremendous interaction and change, as everyone from consumers
to competitors reacts faster and evolves more quickly." - Swati Abbott, Chief Executive Officer, Blue Health Intelligence |
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"...interventions targeting retention and re-engagement in care by reducing disengagement from care and increasing re-engagement of care by 50% were projected by the model to avert 494,000 HIV infections over 20 years, a 36% reduction." The cost-effectiveness ratio was $33,700 per QALY [quality-adjusted life year] gained. Excerpted from: Predictive Modeling News, Volume 11, November 2015, "University Research Applies Analytics to Disease Prevention Programs" |
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Twitter, EHR Big Data Help Track Flu with Predictive Analytics Health IT Analytics, October 30, 2015 |
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Better Organized HIV Care Could Save Lives and Billions of Dollars Johns Hopkins Medicine, October 26, 2015 |
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Tool helps patients, providers decide if lung cancer screening is
warranted Michigan News/University of Michigan, October 22, 2015 |
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Analytics Pinpoint High-Risk Patients to Improve and Streamline Health
Care U.S. News & World Report, October 19, 2015 |
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Doing predictive analytics? You might be doing it wrong Healthcare IT News, October 15, 2015 |
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Predictive Analytics: A Hidden Asset Healthcare Executive, October 14, 2015 |
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