A community-based, FQHC, multi-specialty healthcare organization in Florida sought to modernize its professional coding and billing operations. With growing patient volumes and expanding services in pediatrics, dental, behavioral health, and specialty care, leadership needed to improve coding productivity, accuracy, and compliance while increasing automated billing capabilities.
To address these challenges, the FQHC partnered with AGS Health to implement computer-assisted professional coding (CAPC) and expand AutoBill automation across several departments. The initiative embedded intelligent coding tools directly into existing provider and coder workflows, improving efficiency and enhancing documentation quality and compliance oversight. Within months of implementation, the organization achieved significant improvements in productivity, automation, and coding accuracy across thousands of encounters.
Challenges
- Limited visibility into coding performance and trends made it difficult to identify root causes of errors or workflow inefficiencies
- Manual coding processes required significant human effort, reducing productivity and delaying billing.
- Inconsistency in provider documentation and templates reduced coding accuracy and automation performance.
- Growing patient volumes increased pressure on coding teams to maintain throughput while protecting compliance and revenue integrity.
Outcomes
- Accelerated coding productivity through automation-enabled workflows
- Expanded billing automation, allowing more encounters to move directly to billing without manual intervention
- Improved documentation quality and compliance through data-driven insights and analytics
- Enabled targeted workflow optimization and provider education using real-time performance visibility
38% Increase in Coding Productivity
Coding teams processed significantly more charts by reducing manual effort and streamlining workflows.
Up to 96% Coding Accuracy
Achieved high accuracy across coding categories (ICD 96%, CPT 95%, E&M 93%, HCPCS 95%) through improved documentation and AI-assisted coding.
Expanded Billing Automation
Increased AutoBill adoption enabled more encounters to move directly to billing—reducing manual review while protecting revenue integrity.
"By combining automated coding technology with data-driven insights and collaborative workflow optimization, we significantly improved coding productivity, strengthened accuracy, and expanded billing automation while maintaining compliance across our clinical departments."
