Complimentary from the publishers of Predictive Modeling News November, 2014 | |||||
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"For decades, public health
statisticians and epidemiologists have been using modeling and
statistical analysis and forecasting to monitor for outbreaks and to
predict epidemics and pandemics. Traditionally, these modelers have used
reportable disease ‘vital records’ or healthcare use records (e.g.,
diagnoses from ED or hospital encounters). More recently, unconventional
‘Big Data’ such as social network entries and drug store purchases have
also been used. In some places, like Indiana, doctor’s office EMRs are
linked directly into bio-surveillance systems as well. One day, EMR
interoperability will be universal across regions, and real-time
monitoring of outbreaks will be commonplace. Today in the US, and
hopefully for the foreseeable future, Ebola is expected to be so rare
that PM and surveillance analytics will not really be applicable. But
the same type of PM and electronic screening tools for sure will be
helpful for more common threats to the public’s health, like the flu or
the new Enterovirus D68." - Jonathan Weiner DrPH, Professor& Director of the Center for Population Health IT & CEO of the ACG Team, Johns Hopkins University |
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A study assessing an automated early warning and response system that uses laboratory and vital sign data to identify those at risk for sepsis "resulted in: • a 2- to 3-fold increase in orders for tests that could help identify the presence of sepsis; • a 1.5- to 2-fold increase in the administration of antibiotics and intravenous fluids; • an increase of more than 50% in the proportion of patients quickly transferred to the ICU; and • a 50% increase in documentation of sepsis in the electronic health records." Excerpted from: Predictive Modeling News, Volume 7 Number 11, November 2014, '"Analytics Illuminate Clinical Conundrums" |
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Predictive Analytics: The Future of Personalized Health Care Rock Health, October 27, 2014 |
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Predictive Medicine Depends on Analytics Harvard Business Review/HBR Blog Network, October 23, 2014 |
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Analytics project slashes sepsis deaths Healthcare IT News, October 20, 2014 |
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The big data shift from predictive to prescriptive analytics Government Health IT, October 20, 2014 |
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Ebola Outbreak A Test For Data Mining, Analytics Information Week, October 16, 2014 |
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Data analytics driving employer strategy, healthcare benefits
improvement Castlight Health Blog, October 14, 2014 |
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