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Strategic Value of Autonomous Coding | Impact for Health Systems

Written by Julien Dubuis, Chief Commercial Officer | Oct 3, 2025 3:09:08 PM

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.

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Why Does Medical Coding Infrastructure Matter Right Now?

How Coding Infrastructure Creates Competitive Advantage

What Autonomous Coding Delivers

Real World Examples from Nym Customers

Understanding Autonomous Coding Limitations

The Path Forward

FAQ: Common Questions About Autonomous Coding Strategy

Why Does Medical Coding Infrastructure Matter Right Now?

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.

How Coding Infrastructure Creates Competitive Advantage

Your coding infrastructure does more than improve daily operations. It determines what your organization can accomplish strategically. Modern coding infrastructure enables three strategic advantages:

  • Market expansion capacity: Acquire facilities and launch service lines without recruiting specialized staff across multiple markets
  • Financial resilience: Maintain 3-5 fewer days in accounts receivable, reducing borrowing costs and preserving capital for strategic investments
  • Workforce stability: Redeploy experienced coding professionals into higher-complexity specialties or coding-adjacent roles like auditing or clinical documentation improvement

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?

What Autonomous Coding Delivers

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:

  • Immediate scalability: Process volume increases without recruitment delays or training investments, and deploy identical capabilities across multiple facilities simultaneously during acquisitions
  • Specialty flexibility: Support multiple specialties and service lines, including emergency medicine, radiology, outpatient surgery, and ambulatory care
  • Workforce optimization: Redeploy experienced coders to specialties or service lines that may require more specialized expertise

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.

Real World Examples from Nym Customers

Nym's autonomous medical coding engine demonstrates how the three technology capabilities of autonomous coding translate into the strategic advantages outlined earlier.

Immediate Scalability

Nym lets organizations handle more encounters and clear coding backlogs without hiring more staff:

  • Processing speed: Geisinger, a large health system, processes emergency department (ED) encounters in less than 2.5 seconds while maintaining accuracy above industry benchmarks.
  • Backlog elimination: An emergency medicine group eliminated a 10,000-encounter coding backlog in one hour with 98%+ accuracy.
  • Multi-facility deployment: Organizations deploy Nym's engine across multiple facilities simultaneously, establishing consistent coding capabilities without recruiting and training delays.

Specialty Flexibility

Nym allows organizations to expand coding coverage across multiple specialties and service lines without recruiting specialty-specific coders:

  • Multi-specialty automation: After initial success with autonomous medical coding for the ED, Genesis HealthCare System deployed Nym’s engine for outpatient visits - similarly, Geisinger deployed Nym’s engine for radiology following the success of its ED autonomous medical coding initiative

Workforce Optimization

Nym allows coding teams to move beyond routine work and focus on complex cases:

  • Career advancement: Inova health system promoted four ED coders to higher complexity areas
  • Improve work-life balance: Inova eliminated mandatory overtime and limited PTO for medical coders by reducing administrative burden

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.

Understanding Autonomous Coding Limitations

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).

The Path Forward

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.

FAQ: Common Questions About Autonomous Coding Strategy

How does autonomous coding support health system growth strategies?

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.

How do leading health systems measure autonomous coding ROI?

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.

Sources:

    1. American Health Information Management Association (AHIMA). (2023). Health Information Workforce Shortages Persist as AI Shows Promise: AHIMA Survey Reveals. AHIMA/NORC Survey. https://7932134.fs1.hubspotusercontent-na1.net/hubfs/7932134/Whitepapers/Workforce-AI%20Study%20Final.pdf
    2. U.S. Bureau of Labor Statistics. (2024). Occupational Outlook Handbook: Medical Records Specialists. Retrieved from https://www.bls.gov/ooh/healthcare/medical-records-and-health-information-technicians.htm