Complimentary from the publishers of Predictive Modeling News September 2016 | |||||||||||
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“Hiring for healthcare
predictive analytics-related positions can be a challenge and they can
take up to several months to fill, especially for individuals with
healthcare-related experience. To address this challenge, we have been
successful by hiring interns who work side-by-side with healthcare data
scientists to develop their healthcare predictive analytic skills.
Another way to approach this challenge is to hire data scientists
without healthcare experience who have experience with neural networks
and advanced statistical technologies. These individuals are able to
provide an unbiased response that then can be validated by clinical
teams, thus overcoming their lack of healthcare experience.” - Swati Abbott, Chief Executive Officer, Blue Health Intelligence |
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"...after about 10
days in the ICU, the usual clinically based prediction tools lost their
power to predict risk of death.” Excerpted from: Predictive Modeling News, Volume 9 Number 9, September 2016, "Journals Examine Workforce Planning, ICU Use" |
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In Oklahoma, a Regional HMO Deploys Predictive Analytics Healthcare Informatics, August 30, 2016 |
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Identifying High-cost Users: Comparison of Alternative
Prediction Models Medical Care, abstract only, September 2016 |
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How big data can drive cost containment Government Computer News, August 26, 2016 |
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Algorithm finds the sickest patients generate more profit Health Data Management, August 25, 2016 |
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Multi-method approach to wellness predictive modeling Journal of Big Data, August 24, 20116 |
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Allscripts EHR Integrates With Hospital IQ’s Predictive Analytics
Platform HIT Consultant, August 10, 2016 |
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Reducing Readmissions with Predictive Analytics: Should
Healthcare CIOs Care? CIO Review, August 11, 2016 |
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A Comprehensive Review of Predictive Risk Models for Cardiovascular
Disease American College of Cardiology, August 3, 2016 |
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