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.

Paying and saving for health care: How many steps are there?

If you had to guess, how many stages do you think your employees go through when paying and saving for their health care? Here’s a clue: The process is more complicated than simply “paying” and “saving.”

Innovative payment approach for successful value-based reimbursement models

As you see health care transitioning away from traditional fee-for-service payments and toward performance-based payments, value-based reimbursement (VBR) approaches are becoming popular options for health plans. Pay-for-performance contracts, patient-centered medical homes, bundled payments and accountable care organizations offer unique value creation while allowing payer organizations to work collaboratively with their provider partners.

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.

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.

The power of prediction: Predictive analytics help providers accurately identify high-risk patients

Readers of my blog posts have probably noticed an ongoing theme: Organizations taking the journey from volume to value need to apply advanced analytics to data to be able to manage risk and make the most out of value-based care. Over my next few blog posts, I’ll stick with that theme, with my focus on [...]
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Managing, reducing patient rebounds starts with data

You may have noticed a consistent theme in the move toward fee-for-value models—the need for timely, relevant data. As with any part of the healthcare continuum, reducing patient readmissions and ER rebounding takes timely, relevant information with which leaders can develop and modify programs.

Using advanced analytics to improve quality and cost for COPD patients

Patients with chronic obstructive pulmonary disease, or COPD, represent a huge chunk of the nation’s health care costs. In 2010, COPD-related costs totaled $49.9 billion, including $29.5 billion in direct health care expenditures, $8 billion in indirect morbidity costs and $12.4 billion in indirect mortality costs. It is a major cause of hospitalizations in the [...]
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Home-based care transition programs reduce readmissions

Now that hospitals are being held responsible for what happens to a discharged patient, health care providers are beginning to use higher level clinicians—even physicians—to make home visits for high-risk patients. Two healthcare systems are developing and deploying home-based care transition programs to improve post-discharge care outreach.

Better knowledge of your patients can lead to higher quality care

Congestive heart failure is a major source of health care costs in the United States. About 5.1 million people in the United States have the disease, costing the nation an estimated $32 billion each year. But providers can and should make a difference in the care of CHF to reduce not only costs but harm [...]
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