Self-Pay Analytics
Intelligent Segmentation of All Self-Pay Patient Balances
MedeAnalytics delivers
healthcare performance management solutions that
improve
financial, operational and clinical outcomes,
with compelling return on investment
and rapid time-to-value.
Learn more about:
Self-Pay Analytics enables healthcare providers to intelligently segment and prioritize all self-pay patient accounts, including both uninsured and
self-pay after insurance. Leveraging third-party demographic, financial and credit data, combined with detailed historical information from the patient accounting system(s), MedeAnalytics enables healthcare providers to understand the collectibility of each patient account, segment out patients who qualify for charity, resolve demographic errors and ensure that Medicaid eligibility is never missed.
Self-Pay Analytics is delivered on a web analytics platform and supported on a daily basis by experienced client service teams to ensure rapid and sustainable results. With Self-Pay Analytics, clients have consistently experienced measurable improvements in self-pay collection rates, reduced bad debt, increased Medicaid revenue, decreased return mail and lessened agency fees.
How do healthcare providers use Self-Pay Analytics?
- Segment all self-pay accounts based on collection risk and “propensity to pay”
- Identify low income patients who qualify for charity care or financial assistance
- Compare payer and employer performance based on self-pay collection risk
- Identify and reduce demographic errors that result in return mail and denials
- Screen all self-pay patient accounts for current and potential Medicaid eligibility
** HFMA staff and volunteers determined that this product has met specific criteria developed under the HFMA Peer Review Process. HFMA does not endorse or guaranty the use of this product.
The MedeAnalytics Approach to Self-Pay Analytics
- Suite of clinical, financial and operational solutions for hospital management
- Strategic executive scorecards, personalized dashboards and dynamic analysis
- Healthcare advisory services, data analysis, hospital benchmarking and best practices
- Rapid configuration and ongoing healthcare support services
- Transformation of disparate data silos into a web-based, collaborative intelligence platform
- Software-as-a-Service delivery model requires no hardware, no software and no IT support
Provider Case Studies
Aurora Healthcare Found $1,200,000 in Misallocated Revenue
Read the Aurora case study >>
MedeAnalytics White Paper
Performance Management:
A Strategic Imperative in the Current
Healthcare Economy
Download white paper >>
Webinar Series
The RAC Offensive: Lessons Learned from Orlando Health
View webinar >>


