Category Archives: Journey to Managing Health

Forge ahead in your journey to a new world of health care

Health care executives like you are finding themselves in a precarious position. You need to evolve your organization’s payment structure to revolve around value, while still taking advantage of the fee-for-service contracts that pay the bills. Whether you’re an administrator, a clinical leader, a compliance executive, a financial officer or technology chief, how will you […]
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The journey to value: Taking the first value-based steps with population health management-Part 2

In the previous Journey to Value post, we discussed the usefulness of population health management (PHM) as a bridge between the volume and value worlds. This final post in the Journey to Value series discusses another program necessity as organizations journey to value: comprehensive data and sophisticated analytics. The fuel for the value-based care is […]
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The journey to value: Taking the first value-based steps with population health management-Part 1

In our previous Journey to Value post, we suggested four elements that organizations should consider as they as they determine their roadmap for value-based care. With a roadmap that accounts for market needs, financial impacts, provider network strategies and aligned incentives, organizations are ready to program the milestones around which they will convert to value-based […]
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The journey to value: Handling risk means understanding your patient population

In our last Journey to Value post, we discussed how having all key players in alignment allows a provider organization to better manage risk. There’s one element still to consider: the patient. To get a true handle on risk, health care providers must first understand the needs of the populations they’re serving. Here are four […]
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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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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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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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Consumer behavioral segmentation – the next frontier in population health stratification

In my previous blogs I have outlined the need for providers to develop customer relationship management and patient relationship management capabilities but a fundamental requirement for success is the ability to segment the consumer and patient. Currently, providers are focused on segmenting patients based on their predictive clinical risk. The challenge to only leveraging predictive […]
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Population health stratification – thinking beyond the standard clinical risk segments

In my previous blogs I have outlined the need for providers to develop customer relationship management and patient relationship management capabilities which includes understanding the consumer’s perspective on health and the healthcare system. Currently providers are focused on understanding an individual’s clinical risk profile but it is important to integrate an individual’s attitude and activation […]
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