Autonomous Medical Coding on Your EHR's Roadmap: What to Ask Before You Wait

Many revenue cycle teams are in Wisconsin this month. Many will come home with autonomous coding somewhere on the roadmap, giving health systems another option as they evaluate how to automate medical coding.

The appeal of waiting for an EHR-native solution is understandable: you already own the system, your coders know the workflow, and one vendor can be easier to defend to a CFO than two.

But a roadmap is a plan, and you can't bill against a plan. Every year of the build is another year of coder overtime, contract labor, and DNFB you carry yourself.

Before deciding to wait for autonomous coding on your EHR roadmap, ask:

1. When will the solution actually be available in production?
2. Which specialties and coding types will it support at launch?
3. What percentage of encounters will require zero human review?
4. Who will maintain CMS, AMA, payer, and organizational coding rules?
5. How much ongoing HIM and IT support will the solution require?
6. Can the coding logic be configured to our organization's coding philosophy?
7. What production results can the vendor demonstrate today?

What are you waiting for with EHR autonomous medical coding?

The coding automation in the system today still routes every encounter to a coder. The roadmap is the promise that one day it won't.

Getting there takes years, and it starts narrow, in a handful of specialties. An engine that codes with zero human intervention is built slowly, by ingesting coding guidelines, learning to read clinical language and documentation, and improving through audit after audit.

Who maintains EHR-native autonomous coding after go-live?

Then the work moves to your side of the table. Coding logic has to be maintained against CMS and AMA updates every year, and configuration has to reflect your coding philosophy rather than a default ruleset. In an EHR-native model, that falls to your HIM and IT teams, with limited vendor guidance on how to make those calls.

None of that shows up in the license. It shows up as coding and IT time, every year, for a product that may still end with a coder reviewing the chart.

EHR native vs. purpose-built autonomous medical coding

*Encounters that the engine is unable to code with high confidence are routed to human coders for manual coding

What is autonomous medical coding?

The term has a precise definition: patient encounters coded in seconds with zero human intervention, sent directly to billing.

Nym's autonomous medical coding engine has done that at scale for years, starting in emergency medicine and since expanding to support urgent care, radiology, outpatient surgery, outpatient visits, and inpatient professional services.

Our proprietary AI-powered Clinical Language Understanding (CLU) technology can read clinical documentation in context. On top of the standard coding ontologies sits a layer of customer-specific rules, so the engine codes to your organization's philosophy rather than one universal interpretation of the guidelines. Nym's team also keeps the engine up to date with the latest coding guidelines from regulatory and payer organizations.

Last, but certainly not least, every code the engine assigns carries a complete audit trail showing the documentation behind it and the guideline that supports it, ready for the auditor or the payer who asks.

The ROI of autonomous coding for health systems

Today, Nym’s engine is trusted by 30+ health systems and large physician groups, handling millions of patient encounters annually across 400+ facilities.

I’ve seen the impact on cost, quality, and operations first hand, and some of the customer proof points that stand out to me are:

• $1.3M+ annual coding cost savings in the emergency department (Inova)
• 97% reduction in radiology professional fee coding-related denials (large health system)
• 70% of all emergency department encounters coded autonomously (Genesis HealthCare System)
• 50% reduction in radiology professional fee charge lag (large health system)
• 10% increase in average revenue per emergency department encounter (Inova)

See how Nym's engine works

Frequently Asked Questions

1. What is autonomous medical coding?

Autonomous medical coding uses AI to code patient encounters and send them directly to billing with zero human intervention.

2. Does autonomous medical coding require human review?

Not for encounters the system can code with high confidence. Encounters it cannot confidently code are routed to human coders for review.

3. Can autonomous medical coding integrate with an EHR?

Yes. Autonomous coding technology can work alongside existing EHR workflows without needing to be built directly into the EHR.

4. What is the difference between AI-assisted and autonomous medical coding?

AI-assisted coding helps coders make coding decisions, but still requires human review. Autonomous medical coding completes eligible encounters without human intervention and sends them directly to billing.

5. Who maintains coding guidelines in an autonomous coding solution?

It depends on the solution. With Nym, CMS, AMA, payer, and other coding guideline updates are maintained by Nym rather than the health system’s HIM or IT teams.

6. Should a health system wait for autonomous coding from its EHR vendor?

Not necessarily. Health systems should compare the EHR’s timeline, specialty coverage, human review requirements, maintenance burden, and proven results against autonomous coding solutions already in production.