Tag Archives: data set

In healthcare, real time isn’t always soon enough

Analytics platforms that provide insights immediately after data is collected can help physicians and care managers make the most of their time with patients. Real-time data integration allows care teams to engage patients closer to the point of care and make decisions on next steps. But in some cases even data accessible in real time […]
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Better predictive modeling requires bigger, more varied, higher quality data sets

In a previous blog about predictive analytics, we discussed how comprehensive health care data is necessary for a high degree of prediction. In this post, we’ll discuss the variables that increase predictive accuracy. The larger the better. As the sample size of a predictive model grows, the model’s uncertainty level and degree of bias decreases. […]
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The power of prediction: Sentara Medical Group puts predictive analytics into action

In my most recent post, I wrote about usability factors in predictive analytics. In today’s post—the final post in the predictive analytics series—I’ll share an example of a provider that put all the predictive pieces together to transform its population health management program. Sentara Medical Group uses predictive models to identify high-risk patients, particularly those […]
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The power of prediction: Predictive analytics need to provide timely and actionable intelligence

In my last post, I wrote about the variables that determined the accuracy of predictive models. Accuracy, however, is only half of the equation. The data also must be usable; that’s today’s topic. Timeliness is a critical aspect of usability in predictive analytics. For a provider to deploy predictive modeling in their organization, their own […]
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The power of prediction: Predictive accuracy depends on data set size, sources and quality

In my last blog post, I wrote about how predictive analytics needed comprehensive health care data to have a high degree of prediction. In today’s post, I’ll dig deeper into the variables the increase predictive accuracy.