By Kacie Geretz, Director of Growth Enablement
March 17, 2025
This guide helps health information management (HIM) leaders understand how autonomous medical coding technology integrates with existing workflows and addresses key challenges facing HIM and coding departments today. The following sections outline coding capabilities, workflow considerations, performance metrics, and organizational impacts.
Autonomous coding technology seamlessly integrates with existing healthcare systems to create more efficient and consistent coding processes. Below is an example of how Nym’s engine seamlessly integrates with customer EHRs to accurately assign codes to patient records and send them directly to billing with zero human intervention. Charts that the engine is unable to code (due to missing information, documentation issues, etc.) are routed to coders for manual coding.
Note: Coding scope and supported code sets may vary by autonomous medical coding vendor
Different medical specialties present unique coding challenges and opportunities for automation based on documentation patterns and case complexity. Understanding specialty-specific automation rates (the percentage of total encounters coded by the autonomous medical coding solution) helps HIM and coding leaders set realistic expectations and identify the highest-impact areas for implementation.
Specialty | Typical Automation Rate |
Emergency Department |
60-70% |
Outpatient Surgery |
50-65% |
Primary Care |
55-75% |
Radiology |
70-85% |
These rate typically increases over time as machine learning algorithms process more data. Autonomous medical coding solutions may route encounters to manual coding teams in certain cases, such as:
Note: Automation metrics represent industry averages and may vary by vendor, implementation approach, and documentation quality.
Autonomous coding solutions deliver measurable benefits that address the core challenges facing HIM and coding departments today. Real-world implementations demonstrate significant improvements in staff satisfaction, workflow efficiency, and financial performance metrics.
Real-World Example: After implementing Nym's autonomous medical coding engine for ED facility coding, Inova, a top health system, eliminated all overtime requirements for ED coders, removed PTO limitations, and promoted four ED coders to higher complexity areas. Read the Inova Case Study.
Real-World Example: After implementing Nym's autonomous coding engine for ED facility coding, Inova eliminated their need for contract coders, reduced annual ED coding costs by $500K, and reduced the revenue sitting in weekly DNFB by 50%. Read the Inova Case Study.
Successful implementation of autonomous coding technology requires thoughtful planning and strategic change management to ensure staff adoption and operational success. Following some of the best practices and asking the questions listed below can prove crucial to achieving optimal results with autonomous coding solutions.
Next Steps: Schedule a discovery call to discuss your specific coding challenges and explore how autonomous coding can transform your department.
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.