Your payer changed the policy. Your team found out from the denial.
Payer medical policy changes, ESA biosimilar mandates, and drug-coverage redirects arrive without warning, and nephrology practices absorb the hit on claims already administered. Ember monitors every payer portal daily, surfaces changes before they cost you, and works every denial before the appeal window closes.
Trusted by specialty groups and health systems
Where nephrology revenue leaks
The revenue gaps Ember was built for
Nephrology practices face revenue pressure from two directions: strategic payer policy changes that arrive without warning, and billing-level coding errors that compound across recurring dialysis and infusion claims. Ember closes both.
01 · Payer policy changes
Drug coverage criteria and biosimilar mandates updated without notice.
Payers routinely issue new preferred drug lists, ESA biosimilar substitution requirements, and step-therapy criteria with hard effective dates. Practices that miss the change administer drugs that will be denied, often at high per-claim dollar amounts. Ember monitors every payer portal daily and surfaces policy changes with the revenue impact quantified against your claims volume and fee schedule.
02 · Medical necessity & auth failures
Auth denials from plan-design nuances your team didn't know about.
Medicare Advantage coverage differs from commercial. A therapy covered under one plan design may not be covered under another. Auth obtained verbally gets denied in writing. Step-therapy documentation is complete but doesn't match the payer's current criteria. Ember flags these gaps before the drug is administered and builds the appeal package when denials occur.
03 · J-code specificity errors
Wrong J-code selection generating systematic underpayment across every drug claim.
ESA and iron biosimilar substitutions, new FDA approvals, and mid-year formulary changes create J-code mismatches that result in denials or underpayments across every claim until the error is caught. Manual billing teams find these through denial patterns, weeks or months late. Ember maintains a continuously updated J-code reference and validates every drug claim before submission.
04 · Dialysis MCP & drug-admin bundling
MCP tier downcoding and add-on sequencing errors on recurring claims.
ESRD monthly capitation drops to a lower-paying tier when face-to-face visits aren't counted correctly, and separately billable drug administration is mis-sequenced against initial, sequential, and concurrent infusion rules. Wastage modifier gaps add another layer of lost revenue. Ember validates every monthly dialysis and multi-drug session against payer rules before the claim submits.
Three engines.
One source of truth.
Ember connects payer policy intelligence, clinical documentation, and contract terms into a single layer that covers nephrology revenue from the front end to adjudication. Daily policy monitoring feeds the coding engine. The coding engine feeds the appeal engine.
01 · Intelligence
Data Engine
Monitors payer portals daily across every state and contract. Ingests claims, fee schedules, and contract terms to model the financial impact of every policy change against your specific book of business.
UHC MA
ESA biosimilar mandate · eff. 60d
Aetna
Step therapy update · J0885
BCBS
Iron coverage criteria revised
Modeled against your fee schedule · multi-state contracts
02 · Audit
Coding Engine
Reviews 100% of nephrology encounters — dialysis MCP tiers, J-code selection, wastage modifiers, add-on sequencing, auth status — against national standards and payer-specific policies. Every flag carries a rule citation.
Switch to biosimilar Q5105 — payer-preferred
UHC formulary · confidence 0.95
03 · Recovery
Appeal Engine
Reads CARC and RARC codes, retrieves dialysis and infusion records from the EHR, references the applicable payer policy and contract terms, drafts the appeal with all supporting attachments, and tracks every claim to adjudication.
Re: Claim #N-20471 · Denial CO-197
Step-therapy criteria are satisfied: prior ESA trial documented per LCD L33632 with auth on file, per contract §5.3…
Monitor upstream.
Recover downstream.
Policy intelligence prevents the strategic hits. Pre-bill audit prevents the coding errors. Automated appeals recover what slips through. All three run continuously, across every payer and every claim.
Payer policy intelligence
Find out about the policy change before it costs you.
Ember monitors every payer portal of interest daily, public sites, gated provider portals, and bulletins, and surfaces changes that affect your drugs, your codes, and your contracts, with the revenue impact quantified.
- 1
Daily portal scraping
Pulls policy updates from public sites and authenticated payer portals across every state and payer of interest. Catches changes within 24 hours of publication.
- 2
Relevance analysis
Filters every change against your drug formulary, dialysis and CPT codes, and payer contracts. Eliminates noise, only surfaces changes that affect your practice.
- 3
Revenue impact modeling
Calculates the dollar impact of each policy change against your claims volume and fee schedule. Changes above your threshold trigger immediate escalation alerts.
- 4
Stakeholder routing
Routes each alert to the right team, payer relations for contract escalation, patient access for patient outreach, RCM for coding-rule updates.
$127k/yr modeled impact across 3 changes
Quantified vs. your fee schedule · detected <24hr
24hr
Time to detection
Daily
Portal monitoring cadence
100%
Payer portals covered
Pre-bill audit + automated appeals
Catch it before the claim leaves. Work the denial before the window closes.
Ember audits every encounter before submission, J-code accuracy, MCP tiers, wastage modifiers, add-on sequencing, auth status, with the exact payer rule cited. When denials occur, the appeal lifecycle runs automatically: retrieval, drafting, packaging, and tracking.
Use biosimilar Q5105
MCP visit count
Auth not on file
Medical necessity
Step-therapy appeal
-57%
Denial rate
100%
Encounters audited
-45%
Cost to collect
The full revenue cycle
From policy alert to adjudication. Covered.
Policy intelligence and pre-bill audit are the workhorses, but Ember protects nephrology revenue at every stage, from the first eligibility check to the last payer response.
Payer Policy Monitoring
Daily scraping of every payer portal, public and gated. Policy changes filtered to your formulary and contracts, with revenue impact quantified before your team has to go looking.
Prior Authorization
Checks auth requirements in real time for every dialysis and infusion drug, generates clinical documentation tied to the applicable medical-necessity criteria, and tracks every active auth to expiration.
AI Medical Coding
Reviews 100% of encounters, dialysis MCP tiers, J-codes, wastage modifiers, and administration codes, against national standards and payer-specific rules before claims submit.
Pre-bill Audit
Catches J-code errors, MCP tier downcoding, wastage documentation gaps, and auth mismatches before they generate denials. Every flag links to the exact payer rule that triggered it.
Denial Management
Full appeal lifecycle for every nephrology denial type, policy change, medical necessity, J-code error, auth failure, and bundling. Automated drafts tracked to adjudication.
Underpayment Recovery
Parses contracts to model what each dialysis and injectable drug claim should pay, then surfaces line-item underpayments on high-cost biologics and weight-based dosing at scale.
Recurring nephrology revenue, protected
-57%
denial rate
24hr
to policy-change detection
-45%
cost to collect
100%
encounters audited
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.
- 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.
See what your payers changed last week
Bring us your top five payers and 30 days of denial data. We'll show you what Ember would have caught, and what it would have recovered.