Boost Self-Pay Collections With Health Data Analytics

One of the biggest challenges facing hospital financial executives is formulating a self-pay revenue cycle strategy. This is particularly true given the far-reaching effects of the Affordable Care Act. The self-pay patient population has changed. Although fewer patients are now uninsured, high deductibles and other out-of-pocket expenses leave hospitals with rising self-pay receivables.

In this webinar, MedeAnalytics will show how data insight and predictive modeling can determine the propensity to pay, identify charity care, establish a financial counseling workflow, and prioritize collections efforts. Patient data including payment history, federal poverty level, Medicaid eligibility, credit score, and more combine to give hospitals the power to improve collections and reduce the cost to collect.

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