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How a healthcare data scientist can aid in value-based care
This article is part of the Pulse issue of November 2017, Vol. 5, No. 6
In 2015, Congress made a big change in the way healthcare providers are reimbursed. Instead of the previous fee-for-service model that paid providers for each service performed, reimbursement would now be provided based on the quality of care provided -- a concept known as value-based care. But the transition has been slow, and providers who want to achieve value-based care may not always know where to start. That's where a healthcare data scientist can help. A data scientist analyzes and interprets large amounts of data so that providers can identify trends and potentially improve patient outcomes. Not surprisingly, the healthcare industry adds an interesting twist to this traditional analytics role. One of the main capabilities a data scientist should have is an understanding of the problem that needs solving, said Jordan Mauer, executive vice president of marketing and membership engagement at NovuHealth, a consumer engagement company based in Minneapolis that uses performance analytics and behavior science to create rewards ...
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Features in this issue
As healthcare shifts from fee-for-service to value-based care, health systems and physician groups are using advanced technology to achieve better care at lower cost.
As hospitals begin to make the transition to value-based care, data scientists can help analyze patient trends that will lead to improved outcomes and better quality of care.
As hospitals begin to make the shift to a value-based care model, healthcare data analytics can detect patients with the highest risks and identify disease trends.
Columns in this issue
Improving patient health outcomes through value-based approaches requires skills from physicians, analysis from technology pros and guidance from federal regulators.