Complimentary from the publishers of Predictive Modeling News February, 2015 | |||||
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“Risk adjustment helps us
understand the relative risk or resource use of an individual.
Predictive modeling helps us anticipate the chances of something
happening, and when and how to intervene, before it happens. They are
complimentary and are critical in helping organizations maneuver
changing reimbursement models, tightening budgets and managing patients
more effectively in a post-reform world. The Affordable Care Act
accelerates the need for care transformation. With more people to cover,
shrinking healthcare budgets and growing price and margin pressures,
predictive models can help organizations improve patient outcomes and
identify appropriate price or cost reduction areas without compromising
quality.” - Swati Abbott, CEO, Blue Health Intelligence |
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"Healthcare data are growing at an estimated rate of 45% a year, but this represents only 5% of the digital data wake each of us leaves behind." Excerpted from: Predictive Modeling News, Volume 8 Number 2, February 2015, ThoughtLeaders' Corner: "Predictions for 2015 and Beyond" |
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The future of healthcare analytics is prescriptive Healthcare IT News, January 27, 2015 |
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Risk,
Predicting Outcomes, and Improving Care Circulation, January 20, 2015 |
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Big data analytics startup adding healthcare channel MedCity News, January 16, 2015 |
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How to predict responses to disease: Computer model could help public
health officials anticipate overreactions to disease outbreaks MIT News, January 14, 2015 |
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Patient navigation based on predictive modeling decreases no-show rates
in cancer care Cancer, abstract only, January 13, 2015 |
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Maine's Statewide HIE Members Get New Predictive Analytics Using Real
Time Clinical Data HealthInfoNet, January 7, 2015 |
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Predictive analytics, a potent prescription for health care Fortune, January 5, 2015 |
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There's no cost to participate in the Predictive Modeling News LinkedIn Group where you can Network, exchange information, and follow current developments with other professionals interested in predictive modeling. You can sign up now at: http://www.linkedin.com/groups?gid=1669467 | |||||
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