Complimentary from the publishers of Predictive Modeling News November 2016 | |||||||||||
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“Always keep the business
process in mind. If the results aren’t actionable or relevant, they may
not be useful beyond simply providing insight. Also, make sure the
results resonate with the business. Include practical impact measures,
and not just statistical measures of the models. You need to understand
the model well enough to help guide non-quantitatively trained people so
they are able to understand it, too.” - Russ Michael, Director of Informatics and Product Management and Analytics, at Blue Health Intelligence, Chicago. |
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"84% of marketing
leaders indicated that they intend to increase the role of predictive
analytics in marketing over the next 12 months. Our study confirms this
prediction is becoming a reality, with 67% of data scientists who work
at corporations indicating that the size of their analytic staff has
increased in the past year.” Excerpted from: Predictive Modeling News, olume 9 Number 11, November 2016, "PopHealth Management Programs Use Analytics to Improve Outcome " |
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More providers using analytics to reduce readmissions Health Data Management, October 28, 2016 |
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Predictive analytics fuel Johns Hopkins 'command center' FierceHealthcare, October 28, 2016 |
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Nurse Staffing Predictive of Time to Diagnostic Evaluation in
the ED Journal of Emergency Nursing, abstract only, October 20, 2016 |
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'Big data' could mean big problems for people's healthcare privacy The Los Angeles Times, October 19, 2016 |
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Case Study: Big data drives improved patient care Health Data Management, October 14, 2016 |
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Use predictive analytics to manage nursing workforce FierceHealthcare, October 13, 2016 |
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Predictor Looks to Reduce Patient No-Shows Datanami, October 12, 2016 |
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Predictive Data Can Reduce Emergency Room Wait Times Insights by Stanford Business, October 11, 2016 |
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UMMC pinpoints ideal patients for remote monitoring with predictive
analytics Healthcare IT News, October 7, 2016 |
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