Article | July 2, 2014

Self-Pay: Determining Optimal Care Before The Visit Even Happens

Source: MedeAnalytics

By Tom Schaal, Senior Product Manager, Hospital Revenue Cycle Solutions at MedeAnalytics

The Affordable Care Act (ACA) has opened the doors to many new challenges for healthcare organizations, among them is the changed self-pay landscape. While self-pay – defined by both uninsured and self-pay after insurance – has always been a part of the healthcare ecosystem, the shift from uninsured to the high deductibles of many ACA plans has brought self-pay management issues to the surface.

High-deductibles and copayments will leave many patients feeling the burden of out-of-pocket expenses. In just over a decade, the average deductible jumped from $247 to $1,135. Anyone enrolling for bronze level ACA coverage is looking at a $5,081 deductible for individual coverage and the deductible doubles for families. So where does this leave providers? It will ultimately force hospitals to rethink their registration, eligibility, charity screening and collection strategies. Hospitals will need to become proactive when it comes to managing their self-pay risk.

Administrators need to utilize data and predictive analytics to make decisions at the point of registration. Admins can look at a patient’s healthcare credit score and other data points to determine the needs of each patient. Sometimes that information isn’t detailed enough and an organization needs to leverage advanced technologies to build a sophisticated patient profile.  

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