Using analytics to achieve value-based care in rural areas [Special Report]
Analytics has been a driving force behind healthcare transformation by turning big data into "actionable data," promoting precision medicine and providing price transparency.
At the same time, analytics presents a challenge. There's plenty of data--from wearable tech, medical devices, electronic health record systems, insurance claims, government agencies and scores of other sources--but less understanding about how to get the most of that data. This is especially true for small and rural organizations, or those operating in underserved communities.
Increasingly, getting the most of that data stems in part from a need to pursue value-based care. Earlier this year, the Department of Health and Human Services (HHS) announced a fundamental shift in its Medicare payment model. By 2016, HHS will move 30 percent of current fee-for-service payments to providers to alternative payment models such as accountable care organizations or bundled payments. The percentage rises to 50 percent in 2018.
The Obama administration subsequently launched a public-private partnership to help speed the transition to value-based care, recognizing that many payers, providers, employers, state agencies and consumer groups have been working on payment and delivery reform for quite some time and have analytics experience to share.
This FierceHealthPayer special report examines how healthcare organizations, particularly in rural and underserved areas, use analytics to improve care as the industry continues its shift from the fee-for-service reimbursement model.