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Transition to value-based care supported by data analytics
This article is part of the Pulse issue of November 2017, Vol. 5, No. 6
Over the last several years, there has been a significant push by the Department of Health and Human Services to encourage the transition to value-based care. This shift would reward healthcare providers who prioritize improving patients' outcomes. To that end, the federal government has introduced several initiatives around value-based care for Medicare and Medicaid providers. Providers can participate in Merit-Based Incentive Payment Systems and advanced alternative payment models, as well as other pay-for-performance initiatives. Hospital IT leadership is looking to technology to help them support the transition to these new payment models and achieve improved patient outcomes. Key patient indicators The transition to value-based care requires that providers be able to measure and highlight overall improvements in a patient's health. Providers can achieve value-based care by measuring key patient indicators and reducing hospital readmissions and health complications. In general, healthcare professionals agree that providers ...
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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.