Category: Risk Stratification

We all know health care is fragmented, especially for those with higher medical needs. When you are trying to control costs and improve the health of your patients, you need the right information to understand who needs your services the most. It’s not enough to just focus on patients with a certain condition or rely…
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What are some of the more difficult parts of your population health efforts? Perhaps it is team members spending more time on aggregating data rather than working on improvements. Or maybe it is not about time but quality as you are not able to get the right kind of data, like being able to proactively…
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Frailty, while sometimes referred to as the normal aging process, is not always seen in geriatric patients. Rather, frailty as part of risk stratification is defined as a set of health characteristics that are associated with poor health outcomes, no matter the age. While there is no standard definition or formal diagnosis of frailty, identification…
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Providers are familiar with using laboratory test results to assist in the diagnosing and monitoring of a patient’s health condition. Performing this work for an entire population is challenging, as providers and care teams simply do not have time to jump from system to system to review test results, reconcile it with other health data…
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Many providers and care teams head down population health paths by targeting conventional, condition-based cohorts.  Yet, research has proven that the clustering of morbidity is a better predictor of health care service resource use than the presence of specific diseases. Condition cohorts are one approach. Patient-centered morbidity cohorts are another. When combined, the result is…
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