Case Study: How Intelligent Automation Can Improve Healthcare Revenue Cycle Management
By partnering with Fifth Third, a leading healthcare system reduced manual processing and improved revenue cycle workflows with intelligent automation.
Key takeaways:
- Intelligent data automation reduces manual correspondence management and improves revenue cycle efficiency.
- Automated document classification streamlines reconciliation workflows and enhances accuracy.
- Seamless integration with existing healthcare and banking systems improves payment and remittance visibility.
- Innovative analytics and automation support a more scalable, efficient revenue cycle operation.
About the organization
A large regional healthcare system has provided high-quality, cost-effective and patient-focused care to its community for more than a century. As one of the largest providers in its region, the organization supports more than one million outpatient visits each year and relies on healthcare data analytics to help manage complex revenue cycle operations.
The challenge: managing high-volume healthcare correspondence
The organization needed a more efficient approach to healthcare data automation to manage and organize a high volume of patient correspondence and financial transaction data.
The existing process required significant manual effort to sort, classify and index correspondence from commercial and government insurance payers. This created operational inefficiencies and required valuable staff time before teams could begin downstream processing and payment reconciliation activities.
The solution: automating healthcare revenue cycle workflows
Fifth Third partnered with the organization to implement its Big Data Healthcare (BDHC) revenue cycle solutions, designed to improve end-to-end reconciliation and streamline workflows. Because the solutions integrate with existing electronic medical records, clearinghouses, banking platforms and lockbox services, the organization was able to enhance its revenue cycle without disrupting established systems.
Through intelligent data automation, the organization gained:
- Real-time visibility into payment, remittance and correspondence files
- Automated workflows to reduce manual processing and improve efficiency
- Advanced data analytics dashboards that provide reporting and operational insights
The results: a more efficient, scalable revenue cycle
Following implementation, the organization achieved meaningful improvements in its correspondence management processes.
By leveraging BDHC solutions, the organization was able to:
- Reduce manual sorting and indexing efforts
- Improve operational efficiency through automation
- Enhance accuracy in document classification and reconciliation
- Establish a more scalable and sustainable workflow
The solution integrates with existing systems and leverages automation and AI to systematically index and classify documents, supporting a more streamlined and effective revenue cycle process.
Streamline your healthcare revenue cycle with Fifth Third
Discover how Fifth Third’s BDHC solutions can help your healthcare organization streamline processes, reconciliation and correspondence management with intelligent data automation. Learn more at 53.com/BDHC.