Tag Archives: predictive models

New technologies are breaking down data silos

The highest quality data does no one any good if the information is locked up in silos, unable to be shared. Now the tools of health care are changing in a way that will allow data to be accessed and analyzed. Electronic Medical Records (EMRs) and Health Information Exchanges (HIE) represent two of the top […]
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Sentara Medical Group puts improved predictive modeling into action

In a recent post, we discussed usability factors in predictive analytics. Today’s final post in the predictive analytics series will discuss an example of a provider that has used prediction to inform its population health management program. Predicting hospitalizations helps Sentara practice proactive care. Sentara Medical Group has 380 primary and specialty care physicians in […]
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Today’s predictive analytics should provide timely, actionable intelligence

In a previous post on predictive analytics, we discussed the variables that determined predictive accuracy. Today’s topic is usability of predictive results. Old news is only good for wrapping fish. The point of prediction in health care is to head off bad outcomes before they happen. So for predictive usability, data must be timely. In […]
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