โข <2 Hours Appeals
โข 98% Data Accuracy
โข 70+ Hours Saved
Overview
A health system struggled with slow, error-prone denial and appeal processing driven by manual data handling and fragmented tracking. These inefficiencies delayed recovery and increased compliance risk. GeBBS implemented an RPA-driven Denials & Appeals Automation solution to accelerate turnaround and improve accuracy.
Opportunities & Challenges
The organizationโs manual appeal workflows resulted in:
โข 24โ48 hours spent per appeal
โข 12% data error rate
โข Manual tracking gaps and rework
โข Formatting and submission inconsistencies
โข High staff effort across appeals processing
Solution
Automated Denial Validation & Appeal Submission
GeBBS deployed RPA automation to:
โข Identify denial reasons and required documentation
โข Validate appeal data and supporting records
โข Prepare and submit appeals automatically
โข Track appeal status with complete audit logs
Outcomes
โข Processing Time: Reduced to under 2 hours
โข Accuracy: Improved to over 98%
โข Labor Savings: 70+ staff hours saved weekly
โข Traceability: 100% job number capture
โข Recovery: Faster and more consistent appeal outcomes
Key Takeaways
โข Faster appeals improve revenue recovery.
โข Automation reduces compliance and audit risk.
โข End-to-end tracking strengthens governance.
Conclusion
GeBBSโ Denials & Appeals Automation significantly accelerated recovery timelines while improving accuracy, traceability, and compliance across back-end workflows.
Client Testimonial
โOur appeals process is now fast, accurate, and fully traceable. What once took days now takes hours.โ
โ Revenue Integrity Manager
