Maximize Self Pay Collections and Community Benefit

Self Pay Analytics is a comprehensive business intelligence solution that enables healthcare providers to manage the increasing number of self pay patient accounts. By leveraging third-party data and predictive sciences, Mede enables hospitals to optimize self pay collection strategies, reduce demographic errors, and improve the screening process for charity care and other public assistance programs.

Intelligent Account Segmentation

• Prioritize self pay accounts based on a predictive risk model
• Focus collection resources on low-risk collectible dollars
• Automatically identify low income patients eligible for charity care
• Manage the application process for public assistance programs
• Eliminate demographic errors and identity fraud

Client Results

AR Risk Segmentation Prioritize self pay accounts based on a customized predictive model that estimates each patient’s propensity to pay; focus collection resources on low-risk collectible dollars. Charity and Eligibility Screening Automatically screen every self pay patient for Charity Care, Medicaid, Commercial Insurance, and other government programs to ensure maximum reimbursement and reduce bad debt. Financial Counseling Management Create and track electronic applications for multiple programs based on customized eligibility logic. Analyze all financial counseling activity and monitor community benefit. Patient Identity Verification Identify and correct registration errors and demographic variances prior to billing. Eliminate identity fraud and mistyped addresses at the point-of-service. The Mede Business Intelligence Platform Self Pay Analytics is part of a full suite of healthcare analytic solutions delivered on the Mede business intelligence platform. By aggregating disparate data systems and providing web-based analytics to business decision-makers, Mede provides a comprehensive solution for business performance management.