Tag Archives: Predictive analytics

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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Evaluating data’s impact on sepsis care

The previous post introduced Saint Thomas Health’s efforts to use data to reduce sepsis mortality within its patient population. This post will discuss some of the results of the organization’s efforts. Getting information into the hands of doctors and nurses treating potentially septic patients is key. As important is the collection and analysis of vast […]
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Improved predictive analytics better identify high-risk patients

Health care providers have struggled in the past to accurately identify their full cohort of high-risk patients. Doctors can have an accurate sense of whether patients they see will become high-risk, but what about the patients within their population that don’t present? Too often, doctors only become aware of such patients’ conditions after an emergency […]
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Combining high-tech and high-touch with care guides

The previous blog post focused on how Minneapolis-based HealthEast applied data and analytics from Optum One to get great care management results. This final blog in the three-part series will show how care management is making a difference in patient lives. One relatively new element to care coordination that HealthEast put into practice was certified […]
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Simplifying care coordination for high-risk patients

The previous blog post in this series introduced, HealthEast, a Minneapolis health system using data and analytics to drive success in their medical home care management. This post will discuss how the system applied data and analytics to get great results. For their care coordination and reporting needs, HealthEast decided to install Optum One, a […]
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Client perspective: The Optum analytics partnership

In health care’s steady march toward value-based care, health care organizations need solutions to help them tip the odds in their favor. One such solution is an analytics platform, which helps providers gain a deeper understanding of their population risk and better know where and how to devote clinical and financial resources. When choosing an […]
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Make a game plan to better manage patient populations

Providing better care at a lower cost requires a strategic plan to identify at-risk patients who are the most likely to benefit from early interventions. But to do that, health care organizations need the most comprehensive insights and expert-level predictions possible. Analytics let organizations segment their population by clinical risk or by utilization. This makes […]
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Manage clinical and financial risks with analytics

Until now, managing risk in health care has largely been an exercise that was left to the payers. Provider organizations haven’t needed to accurately calculate the clinical and financial risks associated with caring for patients, because they didn’t bear the liability. But the rise of value-based care and big data is changing the face of […]
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Turn health care risk into opportunity with analytics

Managing clinical and financial risk in today’s ever-changing health care environment is a complex proposition. But with a good of understanding of patients’ potential risk for costly health complications, organizations can turn the risk of value-based reimbursement into opportunity to provide higher quality, more cost-efficient care. Advanced analytics can give health care providers the understanding […]
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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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