Tag Archives: data analytics

What health care execs can learn from Billy Beane

“We are in the midst of a generational business model transformation. It takes a strong man or woman to stand up in front of an organization and say we are going in a different direction.” Health care consultant Ted Schwab, formerly of Oliver Wyman, is quoted in the Optum eBook Moneyball, emphasizing the importance of […]
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3 categories of non-clinical factors lead to readmissions

Failure to follow up with a physician or follow a medication regimen can cause a recently released patient to end up right back in the hospital. But there are other, non-clinical factors that also lead to readmissions. The causes can be grouped into three main categories: Patients’ medical literacy According to the National Network of Libraries […]
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In healthcare, real time isn’t always soon enough

Analytics platforms that provide insights immediately after data is collected can help physicians and care managers make the most of their time with patients. Real-time data integration allows care teams to engage patients closer to the point of care and make decisions on next steps. But in some cases even data accessible in real time […]
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Providers use analytics to better manage their populations and reduce costs

Health care in the United States today is on an unsustainable financial path. Estimates of waste are staggering: Each year, The New York Times reports, $55 billion dollars is thrown away on missed prevention opportunities; $130 billion dollars is lost on inefficient service delivery; and $210 billion dollars goes to the delivery of unnecessary care. […]
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Four steps to population health management: Step four— Expand chronic disease management to the full attributed population

In our last blog post, we talked about high-acuity patients, such as those with chronic conditions, who are at high risk for admissions and readmissions. These patients, who drive a disproportionate amount of health care costs, need to be closely monitored post-discharge and targeted for intervention to keep them on the road to recovery. Using […]
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Four steps to population health management: Step three — Invest in in-home intervention

In our last blog, we discussed the importance of helping patients make seamless transitions to their homes or another care facility following their stay in the hospital. Through care management programs supported by data analytics, providers can identify and help patients who need a little extra help — and prevent costly re-admissions. The next step […]
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Data analytics optimize providers’ management of value-based contracts

Providers who manage value-based contracts are looking for ways to improve clinical outcomes and reduce costs. And they’re doing this by acquiring care management strategies and an ability to build better predictive risk models for high-risk populations. With a just small sliver of the U.S. population accounting for a bulk of health care costs, provider […]
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