Complimentary from the publishers of Predictive Modeling News March 2017 | |||||||||||
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"Examples of
well-established applications of predictive analytics include risk
stratification, determination of specific patients/members who could
benefit from some sort of communi-cation or intervention and
identification of gaps in care. Using predictive analytics to recommend
optimal interventions -- as measured by clinical efficacy and financial
cost-effectiveness (ultimately, return on investment) -- is far less
common. In addition, while processing speeds for predictive analytics
are certainly increasing, a surprising number of applications of
predictive analytics are still based on a single source of data." - Ken Perez, Vice President of Healthcare Policy, Omnicell Inc. |
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"They found that patients who got the free sample
[a 30-day supply plus educational materials] were about twice as likely
to fill a first prescription – 72.2% versus 37.6% after 90 days -- and
costs dropped by almost $400 each." Excerpted from: Predictive Modeling News, Volume 10 Number 3, March 2017, "Journals Examine Analytics in Medication Adherence, Mortality Prediction." |
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The growth of predictive analytics — 7 thoughts and observations Becker's Hospital Review, February 28, 2017 |
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Advocate applies predictive analytics to reducing readmissions Healthcare IT News, February 15, 2017 |
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Predictive Analytics in Healthcare: A Doctor’s View CSC Blog, February 14, 2017 |
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Predict the Future, One Data Point at a Time Healthcare IT News, February 13, 2017 |
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EHR Sample Size Matters in Machine Learning, Predictive Analytics Health IT Analytics, February 9, 2017 |
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Taking Predictive Analytics to the Next Level Hospitals & Health Networks (H&HN), February 8, 2017 |
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How Predictive Analytics Can Help Prevent Infection Hospitals & Health Networks (H&HN), February 7, 2017 |
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Evidence-Based Care: Ensuring the Right Thing for Every Patient, Every
Time Healthcare Informatics, February 3, 2017 |
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