.png)
Article Highlights
-
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 you wait, ask what ships at launch, which specialties it covers, how many encounters truly require zero human review, and who maintains the coding rules after go-live.
- Purpose-built autonomous medical coding is live now. Nym's engine codes patient encounters in seconds with zero human intervention, direct to billing, at 30+ health systems and large physician groups.
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:
- When will the solution actually be available in production?
- Which specialties and coding types will it support at launch?
- What percentage of encounters will require zero human review?
- Who will maintain CMS, AMA, payer, and organizational coding rules?
- How much ongoing HIM and IT support will the solution require?
- Can the coding logic be configured to our organization's coding philosophy?
- 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
|
EHR-native autonomous coding |
Nym |
|
|
Timeline |
Multi-year build |
Live now |
|
Specialty coverage |
Limited and may expand over time |
Multi-specialty |
|
Human intervention |
Validation expected, especially in complex specialties |
Zero human intervention, direct to billing; automation rates vary by specialty* |
|
Coding guideline compliance (CMS and AMA) |
Ongoing operational support from your team |
Maintained by Nym |
|
Customer-specific coding rules |
Limited |
Supported |
|
Auditability |
Unclear |
Complete audit trail |
|
Application maintenance |
Falls almost entirely on your team |
Nym's compliance and support teams |
|
Production experience |
In development |
30+ large health systems, 20+ on your EHR |
*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)
Frequently Asked Questions
Should a health system wait for autonomous medical coding from its EHR vendor?
Whether to wait for EHR-native autonomous medical coding depends on what the EHR vendor commits to at launch. Ask when the capability enters production, which specialties and code types launch with it, what share of encounters will require zero human review, and who maintains CMS, AMA, and payer coding rules.
What is the difference between computer-assisted coding, AI-assisted coding, and autonomous medical coding?
Computer-assisted coding (CAC) suggests codes from clinical documentation, and coders validate every suggestion before billing. AI-assisted coding helps coders make coding decisions but still requires human review. Autonomous medical coding completes eligible patient encounters with zero human intervention, directly to billing.
Does autonomous medical coding require human review?
Autonomous medical coding does not require human review for encounters coded with high confidence. Nym's engine sends those encounters directly to billing with a full audit trail. Encounters below the confidence threshold are routed to human coders, so coding teams handle exceptions rather than volume.
Is autonomous medical coding auditable?
Autonomous medical coding is auditable when the coding engine produces a traceable record for every code assigned. Nym's engine provides an audit trail showing the documentation and coding logic behind each code, supporting audits, payer reviews, and compliance programs. Not every AI coding tool does.
Who maintains coding guideline updates in an autonomous coding solution?
Responsibility for coding guideline updates depends on the vendor. Nym maintains coding guideline updates in Nym's engine, including annual ICD-10-CM and CPT updates and quarterly NCCI ontology updates. Payer policies and organization-specific coding rules are handled through configuration.
Can autonomous medical coding integrate with an EHR?
Autonomous medical coding works alongside existing EHR workflows and does not require a direct EHR integration. Nym's engine retrieves documentation from the EHR, codes the patient encounter, and returns codes to the billing workflow. Nym supports all major EHR and practice management systems, and supports FHIR when applicable.
What is autonomous medical coding?
Autonomous medical coding is technology that codes patient encounters in seconds with zero human intervention and sends them directly to billing. Nym's engine uses Clinical Language Understanding (CLU) to analyze clinical documentation. Encounters that cannot be coded with high confidence are routed to human coders.
