AI revenue integrity for radiology practices

Modifier-driven edits and TC/26 splits cost radiology groups recoverable revenue on every read.

Radiology billing lives and dies on modifier accuracy. Technical vs. professional component splits, multi-procedure reductions, and advanced imaging auth failures generate systematic underpayments that compound across high-volume reads. Ember catches every one.

57%denial rate reduction
100%encounters reviewed
3 daysto first results

Trusted by specialty groups and health systems

Ozark OrthopaedicsFinancial District Foot & Ankle CenterPeninsula Gastroenterology Medical GroupMVPQuantum RadiologyMoami Hand Center

Where radiology revenue leaks

The denial patterns Ember was built for

High read volumes amplify every coding error. Modifier mistakes and multi-procedure reductions that seem small per claim become systematic underpayment at scale. Ember closes each gap.

01 · TC/26 modifier splits

Improper billing of technical and professional components.

When the reading physician and the facility are billed separately, correct modifier 26 and TC application is critical. Errors generate claim rejections or inappropriate bundling of the professional read into the facility fee. Ember validates every split-billing claim against payer-specific rules before submission.

Mod 26 · Mod TC · 70471 · 71250

02 · Multi-procedure reductions

Systematic underpayment when multiple imaging studies are read in the same session.

Payers apply multi-procedure payment reduction rules to imaging reads, but the rules differ by payer and are frequently misapplied, resulting in underpayment rather than the correct reduction. Ember validates each multi-study claim against the applicable payer rule and identifies underpayments at the line level.

Mod 51 · Mod 59 · 73721 · 74177

03 · Advanced imaging prior auth

Auth failures on CT, MRI, and PET studies ordered by referrers.

Advanced imaging orders arrive with varying levels of documentation supporting medical necessity, and auth obtained by the ordering physician may not satisfy the radiology payer's criteria. Ember validates auth status and clinical documentation before the study is performed, not after the claim is denied.

70553 · 74177 · 78816 · 71250

Three engines.
One source of truth.

Ember connects clinical documentation, payer policy, and contract terms into a single intelligence layer. Built for the read volume and modifier complexity radiology billing requires.

01 · Foundation

Data Engine

Bridges the clinical and the financial. Unifies documentation, coding decisions, payer policy, and contracts across every encounter and provider.

R. Okafor

Read #R-50218

Unified
Documentation
MRI brain w/o contrast
Coding
70551Mod 26G93.9
Payer policy
UHC · Advanced imaging
Contract
Rate §4.2

02 · Audit

Coding Engine

Reviews 100% of encounters against national standards, payer-specific policies, your internal guidelines, and your payer contracts. Every flag carries a rule citation.

Audit#R-50218
74177CT abd/pelvis w/ contrast
Pass
70551Professional read, no Mod 26
Flag

Append modifier 26 — professional component

CMS MPFS · confidence 0.97

03 · Recovery

Appeal Engine

Reads CARC and RARC codes, identifies the applicable LCD/NCD policy and contract terms, drafts the appeal letter, packages documentation, and tracks every claim to adjudication.

Re: Claim #R-50218 · Denial CO-4

The professional component is correctly reported with modifier 26 per MPFS payment policy and contract §4.2

Denial received
Appeal drafted
Submitted · in review
Adjudication pending

Audit upstream.
Appeal downstream.

Two workflows do most of the work for radiology groups. The first prevents denials before they happen. The second recovers the ones that slip through.

Pre-bill audit

Catch the modifier issue before the claim leaves.

Ember reviews every read against coding standards, payer imaging policy, and your contracts. TC/26 splits, multi-procedure reduction calculations, and auth status are validated before submission.

  • 1

    Ingest the encounter

    Pulls radiology reports, codes, and modifiers from your RIS, EHR, and practice management system.

  • 2

    Validate against rules

    Checks TC/26 modifier application, multi-procedure reduction calculations, auth status, and global vs. split billing against each payer's specific rules.

  • 3

    Recommend with citation

    Returns the suggested correction tied to the exact payer policy, LCD/NCD reference, or contract term.

  • 4

    Educate the team

    Coding patterns drive team-level coaching, so modifier accuracy and auth documentation improve across every radiologist and site.

Read review#R-50218
74177CT abd/pelvis w/ contrast
Pass
73721MRI lower extremity
Pass
70551Professional read, no Mod 26
Flag

Append modifier 26 — professional component

CMS MPFS · confidence 0.98

+23%

Clean-claim rate

100%

Encounters reviewed

+5%

Net collection rate

Automated appeals

Pull. Review. Push.

When a denial occurs, Ember identifies the root cause, retrieves radiology reports and ordering-physician notes, references payer imaging policy and contract terms, drafts the appeal, and tracks it through adjudication.

Pull14
CO-4

Modifier missing

CO-197

Auth not on file

Review8
CO-59

MPPR misapplied

Push10
CO-16

TC/26 split

Learn
PAID

Modifier 26 appeal

-57%

Denial rate

-45%

Cost to collect

+9.3%

Net revenue per appt

The full revenue cycle

From eligibility to adjudication. Covered.

Audit and appeals are the workhorses, but Ember protects radiology revenue at every stage of the cycle.

Eligibility Verification

Confirms active coverage and imaging benefit status before the study, and flags coverage gaps before they become billing problems.

Prior Authorization

Validates auth status for advanced imaging orders, checks clinical documentation against payer criteria, and flags gaps before the study is performed.

AI Medical Coding

Reviews 100% of reads, CPT codes, modifiers, and TC/26 splits, against national standards and payer rules before claims submit.

Pre-bill Audit

Predicts and prevents denials before claims go out, catching modifier errors, multi-procedure reduction miscalculations, and auth failures before they generate write-offs.

Denial Management

Full appeal lifecycle for every radiology denial type, modifier dispute, auth failure, medical necessity, and bundling error, tracked to adjudication.

Underpayment Recovery

Parses contracts to model what each imaging claim should pay, then surfaces TC/26 and multi-procedure underpayments at scale.

Modifier-driven revenue, recovered at scale

-57%

denial rate

-45%

cost to collect

100%

reads audited

3 days

to first results

Based on Ember AI benchmarks across customer practices. Results vary by payer mix and specialty.

Frequently asked questions

Everything you need to know about how Ember fits into your revenue cycle.

Yes. Ember AI connects seamlessly with all major EHRs and PMS platforms, including Epic, Oracle Cerner, athenahealth, and eClinicalWorks, as well as payer portals. Our standards-based integrations automate prior authorization, eligibility verification, and claims submission, allowing you to preserve existing infrastructure while modernizing the revenue cycle.
Ember AI deployments are measured in weeks, not months. Most organizations complete pilot launch in under 30 days and scale enterprise-wide within a quarter. We provide a structured onboarding playbook, technical support, and change-management guidance so your teams achieve measurable ROI rapidly with minimal IT lift.
Yes. Ember AI is fully HIPAA and SOC 2 Type II compliant and signs Business Associate Agreements (BAAs) with all covered entities. Protected Health Information (PHI) is encrypted in transit and at rest, supported by role-based access controls, detailed audit logging, and continuous monitoring. Your organization retains complete ownership and control of its data.
Health systems, MSOs, and health plans using Ember AI typically achieve:

- 50-75% reduction in FTE hours
- Faster cash acceleration
- Prevent 55%+ of denials

We provide ROI benchmarks and dashboards so you can track outcomes from day one.
Yes. Ember's coding and scrubbing logic is specialty-aware for radiology, it understands professional/technical (26/TC) splits, contrast and supervision-and-interpretation codes, radiopharmaceutical units, and multiple-procedure reduction rules, and validates documentation against payer medical-necessity criteria before submission.
Yes. Ember checks eligibility, identifies which CT, MRI, PET, and nuclear studies require pre-authorization, gathers the order and clinical documentation from your EHR, and submits through payer and radiology-benefit-manager portals, reducing the authorization denials that hit high-cost imaging.
Yes. Ember validates the billing scenario for every study, global, modifier 26 (professional), or TC (technical), against site of service and rendering provider, so you bill exactly what's owed and avoid the split-billing errors that cause denials and takebacks.
Radiology's volume means even a low denial rate is real revenue. Ember reviews every study automatically, catching undercoding, missed contrast and add-on charges, and MPPR errors at a scale manual review can't match, so revenue doesn't leak one study at a time.
Ember connects to your existing RIS/PACS, EHR/PMS, and payer systems with standards-based integrations, no rip-and-replace. Most teams pilot in days and see measurable ROI before scaling across modalities and sites.

See what your radiology group is leaving on the table

Bring us 30 days of denial data. We'll show you where the revenue is and exactly how Ember would recover it.