By Kacie Geretz, Director of Growth Enablement
June 16, 2025
Key Takeaway: In many large health systems, professional fee and facility coding teams operate independently, each guided by distinct rules, workflows, and objectives. While specialization has clear benefits, it can also create operational silos that drive up costs, slow down the claims process, and lead to increased denials. This article explores these differences, highlights key efficiency, quality, and cost challenges, and explains how autonomous medical coding solutions like Nym’s engine can seamlessly bridge the gap.
Professional Fee (ProFee) medical coding: the process of assigning standardized medical codes to services provided directly by physicians or healthcare practitioners, ensuring accurate and timely reimbursement for professional services rendered.
Facility medical coding: the process of assigning standardized medical codes to healthcare services, procedures, and resources utilized within hospital or institutional settings, ensuring accurate facility-level reimbursement and compliance.
To fully grasp why silos form between ProFee and facility coding, it's crucial to first understand their key differences. These differences have emerged over time due to distinct clinical needs, reimbursement practices, and regulatory requirements.
Organizational Structure & Financial Incentives: ProFee teams often operate within physician groups, while facility coders align with revenue integrity or HIM departments, each with distinct budgets.
Specialized Clinical Knowledge & Training: ProFee coding demands expertise in CPT code nuances, diagnosis pointers, and handling physician queries. Facility coding requires a broader skillset, including proficiency with revenue codes, charge masters, and grouper payment models.
Reimbursement & Regulatory Frameworks: ProFee coders typically use the CMS-1500 claim form, relying on the RVU-based Physician Fee Schedule and facing provider-focused audits. Facility coders, on the other hand, use the UB-04 form, adhere to APC or DRG-based payments, and navigate facility-level compliance and audits.
Scale & Volume Considerations: ProFee coders handle large volumes of shorter patient encounters, such as office visits or inpatient rounding interactions, requiring rapid turnaround. Facility coders deal with fewer, but more complex encounters, like inpatient stays or observation cases, featuring extensive documentation.
While recognizing the core distinctions between ProFee and facility coding is crucial, understanding the practical impacts of these differences is equally important. Separate workflows and systems, initially designed to meet specific coding needs, inadvertently create operational inefficiencies, quality issues, and unnecessary costs. These siloed challenges underscore the importance of seeking unified solutions.
Efficiency Challenges
Duplicative Workflows
Separate coding teams often duplicate tasks like chart retrieval and abstraction, charge reconciliation, and coder and provider clinical documentation education, significantly reducing efficiency.
Quality Challenges
Mismatch Coding
Imagine a scenario where the provider office receives a prior authorization for a routine colonoscopy, but the surgeon makes an additional intervention during the procedure. If either the professional coder or facility coders fail to capture this updated CPT code, the resulting mismatch in claims can trigger denials, rework, and delayed payment
Cost Challenges
Operating two coding teams may mean paying twice for similar software tools (such as coding and editing software, analytics dashboards, and coding reference databases), thereby significantly inflating costs.
Given these efficiency, quality, and cost challenges, a unified approach to coding becomes essential. Autonomous medical coding emerges as a powerful solution, effectively bridging the operational gap created by siloed ProFee and facility coding teams. By consolidating workflows, autonomous medical coding solutions like Nym’s engine significantly streamline processes and enhance overall coding accuracy.
Nym’s Engine Operates in a Unified, Single-Path Workflow
Nym’s autonomous medical coding engine integrates professional and facility coding into a single, seamless workflow. Here’s how it works:
Full Chart Abstraction: The system evaluates each patient encounter comprehensively, adhering to both CPT/HCPCS and APC/DRG coding guidelines.
Simultaneous Code Assignment: Professional and facility codes are generated concurrently, ensuring adherence to documentation requirements and coding guidelines specific to professional and facility guidelines.
Unified Claims Generation: Both CMS-1500 and UB-04 claims are produced from a single, accurate workflow
Downstream Benefits
Eliminated Redundancies: One workflow streamlines coder training, staffing, and reduces duplicated efforts.
Cost Savings: Consolidation of software licenses and related support expenses results in significant cost reductions.
Bottom Line
By unifying professional and facility coding into a comprehensive, autonomous workflow, organizations experience higher coding accuracy, fewer denials, and enhanced revenue cycle performance. Autonomous coding not only simplifies internal operations but also ensures a cohesive narrative to payers, accelerating payment cycles and boosting overall efficiency.
Interested in unifying your coding processes and improving your revenue cycle performance? Discover how Nym’s autonomous medical coding engine can streamline your operations today.
Kacie Geretz, RHIA, CPMA, CPC, CCA is the Director of Growth Enablement at Nym, where she aligns Nym’s product roadmap with the evolving needs of health system partners and serves as the externally-facing expert on Nym’s autonomous medical coding engine. A graduate of The Ohio State University’s Health Information Management program, Kacie brings deep expertise across the revenue cycle—having led revenue integrity programs, built managed care contracting and credentialing infrastructure, and driven denials and A/R process improvement initiatives. She is passionate about advancing healthcare automation and regularly shares insights on coding innovation and RCM transformation.