Tag Archives: High-risk patients

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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Perspectives from provider organizations transitioning to value-based care models

Organizations across the country are transitioning to value-based systems of care delivery and reimbursement at different speeds and with varying objectives. With the first half of 2015 bringing many major announcements from both commercial payers and the Centers for Medicare and Medicaid Services (CMS), the push toward value-based models seemed to have become the preferred […]
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Is your organization data rich but insight poor?

The good news: more than 80 percent of doctors have electronic health records (EHRs) and more than 90 percent of hospitals have EHRs. The not-so-good news: 30 percent of hospitals use a data mining or a warehousing tool, while 80 percent of EHR data is unstructured. There’s lots of data available, but what insights are […]
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Identifying population risk in new members requires aggregated health status data

As new enrollees enter the market from public exchanges and expanded Medicaid programs, health plans must determine how to appropriately assess member health in order to align interventions and better predict costs. Doing so effectively, however, requires having access to as much information as possible. A combination of multiple data sets — including claims-based data […]
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Turning “big” data into “good data”: the foundation of actionable analytics

Understanding patients’ risk has become the first step in trying to find better, more cost efficient ways of providing care. But to get a full picture of patients’ health status, you need to analyze a lot of data. But with all the talk about big data, it’s easy to lose sight of the need to […]
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Providers play important role in encouraging patients to manage their health

In my last post, I talked about how predictive analytics are helping health care providers identify and stratify patients by risk. Now that you know who your highest risk patients are, you need to find ways to proactively engage them in the management of their health. If you’re just starting your population health management (PHM) […]
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Analytics reduce the rate of uncoded patients

Patients without a coded diagnosis, Humedica’s research has revealed, represent a significant opportunity to improve care and reduce costs.

After coding, highest-risk patients improve the most

Humedica’s analysis of a data set representing more than 4 million patients revealed that patients without a coded diagnosis are relatively high risk—and use less ambulatory care than coded patients. But what happens after they are coded?

Use population health management to get patients to care about their care

People want to be healthy, but healthcare options can be confusing, and without a strong relationship with their physicians and other providers, patients may ignore their problems instead of face the difficult path toward treatment and recovery.