CodeIQ applies intelligence to the coding workflow. It reads clinical documentation — progress notes, operative reports, procedure notes, and ancillary records — and autonomously assigns CPT, ICD-10, and modifier codes based on what the documentation supports. Every assignment is validated against MUE limits, NCCI edits, payer-specific rules, and medical-necessity requirements, so overcoding, undercoding, unbundling risk, and modifier misuse are caught before the claim leaves the practice. Coders review and approve generated code sets rather than building them from scratch, shifting the role from production coding to quality oversight. CodeIQ runs on its own, or as the coding stage inside RevenueIQ.
Inside CodeIQ
Every capability below exists because a practice asked for it. Nothing here is a roadmap item.
Reads the whole encounter
Progress notes, operative reports, procedure notes, and ancillary records are read together, so the code set reflects the encounter as documented rather than a single template line.
Codes assigned from the documentation
CPT, ICD-10, and modifier codes are assigned from what the documentation supports, each one tied to the sentence that justifies it. Nothing is inferred from the schedule or the fee ticket.
Validated against every edit
Each code set is checked against MUE limits, NCCI edits, payer-specific rules, and medical-necessity requirements before anyone sees it. Failures are named, not buried in a rejection two weeks later.
Over, under, unbundled, or misused
Overcoding, undercoding, unbundling risk, and modifier misuse are flagged on the encounter with the correction and the rule behind it, so the pattern is fixed at the source.
Coders move to oversight
Coders review and approve generated code sets in a queue sorted by risk. Routine encounters clear quickly; the complex ones get the attention they deserve.
Coding patterns, by provider and specialty
Level-of-service distribution, modifier use, and edit failures are tracked by provider and specialty over time, so education is aimed where the pattern actually is.
A code set, with the sentence behind each code
Every suggested code shows the documentation that supports it and the edits it passed or failed, so the coder approves evidence, not a guess. The example shown here is illustrative, not real patient data.
| Encounter | Documentation read | Drafted codes | Edits | Flag |
|---|---|---|---|---|
| M. Torres · office visit | Progress note, 2 labs | 99214 · E11.65 · I10 | All passed | Ready to approve |
| R. Chen · procedure | Procedure note, path report | 11102 · 11103 ×2 | MUE | Units exceed limit — 1 supported |
| A. Gomez · office visit | Progress note | 99213 · Z00.00 | Undercoded | Note supports 99214 — MDM moderate |
| D. Kapoor · surgery | Operative report, anesthesia record | 29881 · 29877-59 | NCCI | Bundled pair — modifier not supported |
| P. Shah · imaging | Order, radiology report | 73721 · M25.561 | Payer rule | Necessity criteria met — LCD cited |
- Supported11102 — tangential biopsy, first lesion"Shave biopsy of 0.6 cm lesion, left forearm"
- Reduce to ×111103 ×2 — each additional lesionNote documents one additional lesion, right shoulder
- SupportedD48.5 — neoplasm of uncertain behaviorPathology pending; matches documented intent
- RemoveModifier 59Not required — no NCCI pair present after correction
| Provider | 99213 | 99214 | 99215 | Edit failures |
|---|---|---|---|---|
| Dr. Reyes | 38% | 51% | 11% | 2 |
| Dr. Patel | 71% | 26% | 3% | 9 |
| Dr. Nwosu | 44% | 47% | 9% | 1 |
Illustrative example · not real patient data
From the schedule to the signed record
Documentation is read
The encounter is read once it is signed: notes, reports, and the ancillary records attached to it.
Codes are drafted and validated
CPT, ICD-10, and modifiers are assigned and run through MUE, NCCI, payer, and medical-necessity checks.
A coder approves
The code set arrives with its evidence and its edit results. A coder accepts, adjusts, or sends it back for documentation.
The pattern improves
Edit failures and level-of-service drift are reported by provider, so the same error stops recurring.
Facts, not promises.
These are properties of how CodeIQ is built — not projected savings. Results in your practice depend on your payers, your panel, and your documentation.
CPT, ICD-10, and modifiers drafted as one set from the same documentation
MUE limits, NCCI edits, payer-specific rules, and medical necessity
A coder approves each set; nothing is released autonomously
Organizations that run on CodeIQ
A good fit when…
- Revenue cycle companies and coding teams automating production coding
- Organizations trying to understand and correct their coding patterns
- Groups where coding backlog is holding claims and cash
See CodeIQ on your own workflow.
Tell us what your organization is fighting — open care gaps, documentation, denials, coverage — and we will walk you through the part of the platform that closes it.