The signature mechanic
The E/M level shows its work. The safety alert shows its source.
Two things every coding tool gets wrong: it asserts an E/M level without the medical-decision-making derivation, and it fires drug alerts you can't see the basis for. rev.health derives the 2021 MDM grid in the open — problems, data, risk — and every CDS Hooks card names its rule, its evidence, and offers a structured override.
Because the medication list is global across every practice the patient visits, the interaction check sees the drug another clinic prescribed last month — the difference between a useful warning and a noisy one. Override rates are tracked per rule, per version, and a rule that exceeds its threshold enters automatic review.
The problem
Revenue and time leak at the coding boundary.
E/M downcoding from missed MDM elements is routine. HCC capture is uneven, so risk-adjusted contracts underpay. Bolt-on coding tools sit outside the chart and add reconciliation work. And legacy drug-checking pop-ups are tuned so coarsely that clinicians override nearly every alert — eroding the safety value of all of them.
Coding and CDS as one surface
The module listens to the encounter as it is built — scribe text, problem-list edits, vitals, labs, orders — and returns coded suggestions: ICD-10-CM, CPT, HCPCS, an E/M level proposal with MDM-based rationale, and HCC capture hints. Every suggestion carries an evidence link (“suggested because: 'chest pain on exertion radiating to the left arm' in HPI”). Accept, edit, or reject — the disposition is logged.
Whole-patient CDS, not single-org CDS
Because clinical data in rev.health is global across every practice the patient visits, the CDS engine sees the full medication list, problem list, allergy list, and care plans — not one org's silhouette of the patient. That's the difference between a useful warning and a noisy one: rule precision goes up, alert fatigue comes down, and override rates are tracked per rule, per version, with automatic review when they climb.
Key capabilities
Clinician-in-the-loop, evidence-linked, auditable.
Real-time coding assistant
Ranked ICD-10-CM and CPT candidates emitted while the note is written, each pinned to the transcript moment or chart fact that triggered it.
E/M with MDM rationale
A defensible E/M proposal at signing — problems, data reviewed, risk — with the downcode option and its rationale shown alongside. You choose; the audit trail remembers.
HCC capture hints
Conditions documented in prior years that map to HCC categories surface for re-documentation. Nothing is auto-coded; the clinician confirms or dismisses.
CDS Hooks 2.0 safety checks
Drug-drug, drug-allergy, drug-disease, and dose-range checks at chart-open, problem-add, and order-sign — rendered in under 400 ms with rule ID, source evidence, and one-click structured override.
Primary-care order sets
Add “Type 2 diabetes” to the problem list and the matching order bundle offers itself: HbA1c q90d, annual eye exam, foot exam, microalbumin. Apply, edit, or skip.
CY2026 AI-augmented CPT
The first AMA AI-augmented CPT codes require documentation of AI involvement. rev.health detects when an AI result underpins a billable element and proposes the right variant with auditor-ready language.
DSI transparency by default
Every AI suggestion carries an in-context “why”: model name, version, training-data summary, performance metrics, known limitations — the HTI-1 §170.315(b)(11) fields, not a buried docs page.
Versioned, override-aware rules
Rules that exceed configured override thresholds enter a managed review state automatically. Alert fatigue is an engineering metric here, not a fact of life.
Structured override reasons
Overrides capture structured reasons (“patient already taking, well-tolerated”) that feed rule tuning — no free-text-only prompts shouting into the void.
Workflow
From spoken word to defensible code.
The scribe writes; the coder listens
As the structured A/P forms, ranked diagnosis and procedure candidates appear with their evidence links.
Safety checks fire at order-sign
The new prescription is cross-checked against the patient's global med list — including the one another practice prescribed last month.
E/M proposed at signing
99214 with the MDM math shown, 99213 offered as the downcode with its own rationale. The clinician picks; the choice and the basis are logged.
HCC hints close the year
The diabetes-with-CKD documented last September resurfaces for annual re-documentation before the risk-adjustment window closes.
Codes flow to the claim
Accepted codes feed the RCM scrubber directly — the same data, no re-keying, no retrospective coding pass.
Who benefits
Accurate codes proposed inside the chart with evidence, an E/M level they can defend, and alerts that fire only when they should.
A full audit trail of every suggestion accepted, edited, or rejected — and a one-screen queue of encounters needing a coder touch before scrubbing.
HCC capture at parity with risk-adjusted contracts and an E/M distribution that matches case-mix without upcoding exposure.
Versioned rules, override-reason analytics, and model-card transparency for every AI-driven suggestion.
Performance targets
The numbers this module is built to hit.
| Metric | Target |
|---|---|
| Coding suggestion acceptance rate | ≥ 70% |
| HCC capture rate vs. prior-year baseline | ≥ 90% |
| E/M downcode rate (audit-traceable) | ≤ 5% |
| CDS alert override rate per rule | ≤ 60% — above triggers automatic rule review |
| Order-sign to CDS card render | ≤ 400 ms p95 |
| Drug-drug / drug-allergy true-positive rate | ≥ 95% on labeled test sets — release-gating |
Standards & code systems
The terminologies and the transparency rules.
CDS fires at three hook points — chart-open, problem-add, and order-sign — with rule provenance and a model card surfaced in-context. The CY2026 AMA AI-augmented CPT codes require documentation of AI involvement; rev.health detects when an AI result underpins a billable element and proposes the right variant with auditor-ready language.
Connected modules
Between the note and the claim.
Clinical Documentation
Emits the encounter content the coding service consumes, evidence links included.
Module 01 →eRx & EPCS
Orders fire the order-sign hook; the global medication list powers interaction checks.
Module 05 →Revenue Cycle
Accepted codes are the input to claim scrubbing and 837P generation.
Module 07 →Defensible codes, captured in the room.
Evidence-linked coding and CDS that clinicians actually trust.
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