Medical Claims Denial Management Automation
Most healthcare teams know they need AI. Fewer understand how to build the closed-loop agentic workflows that actually recover denied revenue and stop denials at the source. I help healthcare operations stop the one-at-a-time denial grind that never reaches root cause, and ship systems that survive real users.
Auto-resolved
Backlog
−210
Avg. cycle
9 days
- +24%
- Denial recovery rate on representative engagements
- 90%
- Denials auto-classified by CARC/RARC
- 15 min
- Saved per appeal letter vs. manual drafting
The gap most leaders feel but can’t quite name
Companies in healthcare know AI can create leverage. What they often experience instead is another tool that creates more work, dashboards no one trusts, or pilots that never scale. The difference is rarely the model. It is the agentic architecture: reliable loops that monitor data, analyze patterns, surface true exceptions, and route decisions so humans only handle what requires judgment.
Denial management is where healthcare practices lose money and never get around to fixing it. Denials come back from the payer with a CARC reason code, get thrown in a work queue, get reworked one at a time, and the same denials come back next week on the next batch of claims. Root cause is never reached because the manual rework consumes every available hour.
I am Zack Shields, and I build denial management automation that classifies every denial by CARC and RARC code, routes it to the right owner, drafts a payer-specific appeal letter with supporting clinical documentation, and surfaces the root-cause patterns driving your write-offs. The routine path runs itself so your team works the exceptions that genuinely need judgment.
Every engagement is HIPAA-aligned: BAAs with every vendor, encryption at rest, role-based access, full audit logging, no PHI in third-party LLM training paths. Metrics on this page are representative outcomes, not promises for any specific clinic.
Why denial management never gets ahead
The average denied claim goes through five steps: receive the 835 with the denial reason, open the claim, identify the denial code, decide what to do, and execute. Each step is a manual touch. A billing team handling 200 denials a week is doing 1,000 manual touches a week on work that is mostly the same handful of root causes.
Root cause never surfaces because nobody has time to aggregate the denials into patterns. The team is too busy reworking the current queue to look at the trend. So the same coding error, the same missing modifier, the same prior-auth miss keeps producing denials week after week.
Appeals are the worst version of this. Each appeal is a 20 to 40 minute letter drafted from scratch, even though 80% of appeals for a given denial reason follow the same structure. The billing team drafts the same letter over and over, with diminishing patience for the work.
What denial management automation does
A closed loop that handles the routine path so humans handle the exceptions:
- 01
Automated CARC/RARC Classification
Every incoming denial gets parsed from the 835, classified by CARC (Claim Adjustment Reason Code) and RARC (Remittance Advice Remark Code), and routed to the team member who owns that denial type.
- 02
Payer-Specific Appeal Drafting
For denials worth appealing, the system generates a payer-specific appeal letter with the claim details, denial reason, supporting clinical documentation, and the relevant policy citation. Reviewed and sent in minutes, not 30 minutes.
- 03
Root-Cause Analytics
Aggregates denials by code, provider, coder, payer, and service line to surface the 3 to 5 patterns driving the majority of write-offs. So you fix the source, not just the symptom.
- 04
EDI 835/837 Parsing
Clean ingestion of the 835 (payment and denial) and matching back to the 837 (original claim). No more manual cross-referencing to figure out which claim a denial belongs to.
A technical look at denial management automation
CARC and RARC: the language of denials
Every denial comes with a CARC (Claim Adjustment Reason Code) explaining why the claim was adjusted or denied. Common examples: CO-50 (non-covered service), CO-197 (prior authorization absent), CO-22 (COB issue), CO-16 (missing information), CO-97 (bundled service).
RARC (Remittance Advice Remark Code) adds context. The combination of CARC and RARC tells you exactly what happened. Classifying on these codes instead of free-text descriptions gives you clean routing, clean analytics, and a real root-cause picture.
EDI 835 and 837: the data layer
The 837 is the claim you submit. The 835 is the remittance advice the payer sends back. Matching them is the foundation of denial management, because you cannot manage a denial if you do not know which claim it belongs to.
The automation ingests the 835, parses the LQ (LQ01 = reason code), CAS (claim adjustment segment), and AMT (amount) sections, and matches back to the original 837. From there, every downstream workflow (classification, routing, appeal drafting) composes cleanly.
Appeal drafting with self-hosted LLMs
Appeal letters follow payer-specific templates: address block, claim details, denial reason, basis for appeal, supporting documentation, request for reconsideration. 80% of the letter is templated; 20% is case-specific.
A self-hosted LLM (Llama 3, Mistral) drafts the case-specific portion from the claim and denial data, with the supporting clinical documentation attached. PHI stays inside your environment. The billing team reviews and sends in minutes instead of drafting from scratch in 30.
What changes when denial management runs as a loop
Recovery rate rises
More denials get appealed because the drafting work shrinks from 30 minutes to a review. Representative engagements see 20%+ lifts in denial recovery.
Denial rate falls
When root-cause analytics surface the recurring patterns, the source gets fixed. The same modifier error, the same prior-auth miss, stops producing weekly denials.
Billing team focuses on judgment work
Staff stops being classification-and-drafting labor and starts doing the work that actually requires a human: complex appeals, payer escalation, contract disputes.
Trends become visible
The denial dashboard finally tells the truth. Leadership sees the real denial trend by payer, provider, and code, instead of anecdotal reports from the billing queue.
How a denial management engagement runs
Scoped to your clearinghouse, your EHR, and your current denial mix:
- 011
Denial Pattern Audit
I sit with your billing lead, pull 90 days of denial data, identify the top 10 CARC codes driving your write-offs, and document the current manual workflow.
- 022
First Loop Shipped
We ship automated classification and routing for the top denial codes in 3 to 4 weeks. The billing team starts working exceptions instead of every denial.
- 033
Appeals & Root-Cause Layer
We add payer-specific appeal drafting for the appealable codes and the root-cause analytics dashboard. Each phase measured on recovery rate and denial trend.
- 044
Handoff & Documentation
Your team gets runbooks and training to operate and extend the system. Optional retainer for payer policy changes and quarterly analytics refresh.
Why practices choose me for denial management automation
Denial management is not a chatbot problem. It is an integration problem that touches your clearinghouse, your EHR, your payer portals, and your appeal workflow. That integration work is what I do, and it is where most denial projects fail.
HIPAA-aligned from day one, with BAAs throughout, encryption at rest, role-based access, and full audit logging. PHI never enters a third-party LLM training path. Models are deployed privately so the data stays inside your environment.
What you get
- Ships the first denial loop in 3 to 4 weeks
- Classifies by CARC and RARC, not generic categories
- Payer-specific appeal letters, not one-size-fits-all
- Root-cause analytics so you fix the source, not just the symptom
- HIPAA-aligned architecture with BAAs throughout
Tools I use on denial management engagements
Stacked for clean ingestion, fast routing, and PHI-safe drafting.
n8n or custom Python
Orchestration layer tying clearinghouse, EHR, payer portals, and appeal workflow
Change Healthcare / Avility / Waystar APIs
EDI 835 ingestion and 837 resubmission
Self-hosted LLM (Llama 3 / Mistral)
Payer-specific appeal drafting with PHI kept private
RAG over payer policy docs
Cite the specific policy the appeal is based on
Epic App Orchard / Cerner Code / Athenahealth API
Native EHR integration for claim status and documentation
Postgres + analytics dashboard
Denial data warehouse with CARC/RARC analytics and root-cause views
Manual denial work vs. automated denial management
Honest side-by-side based on a mid-size clinic with 150 to 300 denials per week.
Aspect
DIY / off-the-shelf
Working with me
Classification
Manual code lookup per denial; inconsistent routing
Auto-classified by CARC/RARC; routed to owner by code type
Appeal drafting
20 to 40 minutes per letter from scratch
Generated from payer-specific templates; reviewed in minutes
Root-cause visibility
Anecdotal; nobody has time to aggregate
Live dashboard by code, provider, coder, payer, service line
835/837 matching
Manual cross-reference to find the source claim
Automated matching on claim ID, patient, date, CPT
Recovery rate
Plateaus around 50 to 60% of appealable denials
20%+ lift on representative engagements
Denial rate trend
Flat or rising; root cause not fixed
Falling as source patterns get addressed
Frequently asked questions.
How do you classify denials?
Every denial comes in on the 835 with a CARC (Claim Adjustment Reason Code) and RARC (Remittance Advice Remark Code). The automation parses those codes, classifies the denial, and routes it to the owner of that denial type. No manual classification step.
Do the appeal letters actually work?
Yes, because they are payer-specific and citation-backed. Each appeal cites the relevant payer policy and includes the supporting clinical documentation. The billing team reviews and sends, rather than drafting from scratch.
What about denials that should not be appealed?
The system applies rules-based triage. Some denials (CO-50 non-covered services, CO-252 duplicate claims) should not be appealed and get routed to write-off review instead. Appeal effort goes where it pays off.
How is PHI handled?
PHI stays inside your infrastructure or a HIPAA-aligned environment with BAAs in place. Appeal drafting runs on a self-hosted or private LLM so PHI never enters third-party training paths. Full audit logging throughout.
Does this integrate with our clearinghouse?
Yes. I ingest 835s from Change Healthcare, Avility, Waystar, Trizetto, and most major clearinghouses, plus direct payer 835s where available. The integration adapts to your stack.
About your consultant.
I am Zack Shields. I build agentic systems for mid-market and enterprise teams in hospitality, travel, healthcare, and finance. Closed-loop workflows that monitor data, surface true exceptions, route decisions, and act so your team only handles what requires judgment.
My background is operations first, technology second: real estate operations, hospitality systems, short-term rental workflows, sales operations, dashboards, RAG tools, API integrations, and team training. That mix matters because the hard part is rarely the model. The hard part is designing a system people trust enough to use. One that survives real users, edge cases, and daily reality.
When you work with me, you get an operator-builder hybrid who can map the workflow, design the agentic loop, build the system, test the edge cases, document the process, and support adoption after launch.
Related healthcare automation pages
Revenue Cycle Management Automation
The broader RCM engagement this denial work plugs into.
Read moreInsurance Verification Automation
Prevent the avoidable coverage denials before they happen.
Read morePrior Authorization Automation
Prevent CO-197 denials by automating prior-auth submission.
Read moreAI Automation for Healthcare Practices
The broader healthcare automation overview page.
Read more
Getting started is simple.
The first step is a no-obligation 30-minute workflow review. We map your actual workflows, identify high-leverage agentic opportunities, and give you an honest picture of fit. No pitch.
- 01
Book your call
Schedule a focused conversation about the workflow you want to improve.
- 02
Share your challenges
Walk through the systems, users, exceptions, and reporting gaps that shape the work.
- 03
Get your roadmap
Leave with practical next steps for discovery, pilot scope, or implementation.
Ready to recover more denials and fix the root cause?
Book a free 30-minute denial management review. Bring your top 10 CARC codes and 90 days of denial data. You will leave with a candid take on what is automatable and what is driving your write-offs.
- Free
- Cost
- 30 min
- Length
- None
- Pressure