.png)
By Julien Dubuis, Chief Commercial Officer
October 3, 2025
Key Takeaway: Health systems face a critical infrastructure decision as coder shortages worsen and payer audits intensify. This article examines three technology capabilities that enable autonomous medical coding to deliver strategic advantages: immediate scalability to handle volume without hiring, specialty flexibility to expand coverage across service lines, and workforce optimization to redeploy coding teams.
Revenue cycle leaders across the United States face a fundamental question about their revenue cycle infrastructure:
Can traditional manual coding operations support my organization's strategic objectives over the next decade?
The workforce reality is getting worse. According to an AHIMA survey, 66% of health information professionals report persistent staffing shortages, with the widely-cited 30% shortage of medical coders projected to worsen through 2029 (1). Meanwhile, reimbursement models shift toward value-based care requiring more sophisticated documentation and coding precision as patient populations age with multiple comorbidities.
Organizations that modernize their coding infrastructure now position themselves for sustainable growth, while those maintaining manual processes face escalating operational constraints that limit strategic flexibility. Understanding what advantages modern infrastructure provides helps leaders make informed decisions about their revenue cycle investments.
Your coding infrastructure does more than improve daily operations. It determines what your organization can accomplish strategically. Modern coding infrastructure enables three strategic advantages:
Consider what happens during acquisitions: organizations with manual coding operations must choose between delaying integration to build coding capacity or accepting 6-12 months of coding inconsistency and compliance risk across legacy systems. Organizations with scalable autonomous coding infrastructure integrate facilities in weeks rather than quarters.
These advantages become more valuable as health systems merge and payers increase audit activity. According to KLAS Research, autonomous coding is top of mind for revenue cycle departments looking to ease coder staffing constraints and improve operational efficiency. This growing interest raises an important question: what technology enables this level of scalability and flexibility?
Autonomous medical coding solutions fundamentally differ from traditional manual coding and are a significant improvement upon other technology such as Computer-Assisted Coding (CAC). While CAC platforms suggest codes that require human validation, autonomous solutions assign codes to patient encounters and route them to billing with zero human intervention.
This fundamental difference creates three technology capabilities that address the infrastructure challenges outlined above:
These capabilities directly address the workforce pressures driving strategic urgency. The U.S. Bureau of Labor Statistics projects only 7% growth for medical records specialists through 2034, with approximately 14,200 annual openings insufficient to close the existing shortage gap (2). The autonomous coding market has grown in response to these pressures, but not all solutions deliver the same strategic value. Understanding how leading organizations translate these capabilities into measurable results provides clarity on implementation success factors.
Nym's autonomous medical coding engine demonstrates how the three technology capabilities of autonomous coding translate into the strategic advantages outlined earlier.
Nym lets organizations handle more encounters and clear coding backlogs without hiring more staff:
Nym allows organizations to expand coding coverage across multiple specialties and service lines without recruiting specialty-specific coders:
Nym allows coding teams to move beyond routine work and focus on complex cases:
Read Inova’s autonomous coding success story
While these outcomes demonstrate significant value, organizations should understand that autonomous coding is a growing market and the technology has its limitations in certain areas.
Autonomous coding solutions excel at high-volume, routine encounters but face constraints that organizations must plan for during implementation. According to KLAS Research, autonomous coding solutions are less adept at handling complex or ambiguous cases, and in these situations, organizations rely on CAC solutions and human resources to meet coding needs (2).
Today, autonomous coding adoption is strongest in radiology and emergency departments because these specialties present easier starting points with less variability, easier coding, and less need for specialist skills or understanding of high-level CPT or ICD code sets (2).
Market maturity is approaching as vendors expand capabilities. Adoption in higher-complexity specialties like inpatient care, surgery, and primary care remains limited, though KLAS Research notes that customers who have found success with their initial deployments express a strong desire to expand to more complex or varied settings. Read the KLAS Segment Insight report.
Organizations making this transition now gain advantages that grow over time through better cash flow, stable staffing, and operational flexibility. The question for health system leadership isn't whether to modernize coding infrastructure. It's whether you'll do it proactively to enable strategic objectives or reactively when manual processes finally break under operational pressure.
Autonomous coding enables immediate scaling across new facilities or service lines without recruiting specialized staff. During acquisitions, organizations deploy consistent coding capabilities across legacy systems within weeks rather than managing months-long integration and retraining processes.
Organizations track both immediate operational metrics (A/R days reduction, DNFB improvement, cost per encounter) and strategic indicators including workforce redeployment success, acquisition integration speed, and cash flow stability. Most organizations see measurable ROI within 3-6 months on operational metrics while building strategic capabilities that compound over years.
Ready to explore how autonomous medical coding can position your health system for long-term competitive advantage? Get in touch with our team.
Julien is Chief Commercial Officer at Nym (CCO), where he leads the sales and marketing teams to drive commercial growth. Julien brings extensive healthcare experience to Nym, having previously served as Vice President of Sales at Clarify Health. In this role, Julien led all of Clarify’s provider-related sales efforts with large health systems and academic medical centers while also overseeing key account expansion. Prior to Clarify, Julien worked as a project leader at The Boston Consulting Group (BCG), where he focused on the intersection of technology and life sciences.
