Reduce cost to collect. Remove the rework behind every dollar.
Cost to collect rises when avoidable defects create repeated touches across access, coding, billing, denials, payment posting, A/R, and patient balances. We move accuracy upstream, prioritize work by financial value and effort, and govern the full cost of rework so your teams spend less time correcting the cycle and more time resolving the accounts that matter.
28M+
A/R claims processed annually
7 of top 20
U.S. health systems served
7M+
Prior authorizations processed annually
Lower operating cost without weakening revenue performance.
Healthcare revenue cycle cost to collect reflects the people, technology, vendor, and overhead effort required to convert earned revenue into payment. It grows when preventable errors generate edits, queries, denials, appeals, follow-up, handoffs, and repeat patient contact. We connect front-office, mid-office, and back-office work so defects are prevented earlier, exceptions are routed intelligently, and labor is focused where it can change the financial result.
Reduce avoidable touches and handoffs
Direct capacity to the work that matters
Make the full cost of rework visible
Cost hides in four habits. We break each one.
Lower cost to collect comes from preventing defects, completing work accurately, routing exceptions well, and managing inventory by value rather than volume. These service levers reduce repeat touches across the cycle while protecting reimbursement, compliance, and patient experience.
Prevent avoidable front-end rework
- Scheduling and Registration
- Patient Access Management
- Eligibility and Benefits Verification
- Registration QA and Demographic Accuracy
- Prior Authorization
Complete mid-cycle work accurately
- Medical Coding
- Coding Audits and Quality Assurance
- Clinical Documentation Integrity (CDI)
- Charge Capture Optimization
Release cleaner claims and payments
- Claims Editing and Clean-Claim Validation
- Claim Submission and Clearinghouse Support
- Payment Posting and Reconciliation
- Credit Balance Review
Focus recovery effort where it pays
- Accounts Receivable Follow-Up
- Denials Management and Appeals
- Underpayment Recovery and Payer Variance Resolution
- Complex AR Recovery
- Extended Business Office and Co-Managed Operations
Prevent, simplify, prioritize, and govern. Less work for every dollar collected.
Fewer preventable touches
Improve registration, coverage, authorization, documentation, coding, and claim accuracy so fewer accounts return as edits, queries, denials, or correction work.
Better use of specialist capacity
Route exceptions to the right role with the information needed to resolve them, reducing queue transfers, duplicate review, and low-value manual effort.
Smarter inventory prioritization
Organize A/R, denials, and underpayments by financial significance, filing risk, effort, and recovery likelihood rather than age or volume alone.
Visible cost and productivity
Connect labor, transaction volume, rework, quality, and financial outcomes so leaders can see where operating effort creates value and where it does not.
One operating model. Three pillars. Every engagement.
Practitioner-led
Specialists who understand the effort behind access, coding, billing, denials, A/R, and patient financial workflows.
- Functional experts matched to each workflow and exception type
- Payer, specialty, and care-setting knowledge that reduces avoidable handoffs
- A named engagement lead who connects productivity to financial performance
Technology-powered
Workflow intelligence that validates work, routes exceptions, and prioritizes effort.
- Rules that stop preventable defects before they create downstream tasks
- Worklists ordered by value, urgency, effort, and likelihood of resolution
- Dashboards connecting volume, touches, quality, cost, and outcome
Operationally-governed
Open Accountability that makes capacity, rework, ownership, and corrective action visible.
- Governance reviews tied to cost, quality, and financial KPIs
- Root-cause analysis on repeat work and high-effort exception categories
- Closed-loop corrective action that moves fixes back to the source workflow
Our Vision
Open accountability: Taking responsibility without taking control.
A lower cost to collect should not depend on hidden labor, reduced service, or a black-box productivity claim. You retain visibility into scope, volume, staffing, quality, rework, unit cost, and financial outcomes. We align definitions with your teams, report what is changing and why, and use recurring defects to strengthen First-Pass Performance.
Cost to Collect
Revenue cycle operating cost as a share of revenue collected
Touches per Account
Manual actions required to move an account toward resolution
First-Pass Resolution
Work completed without avoidable correction, return, or repeat handling
Productivity
Completed work measured with quality and financial context
Rework Rate
Share of work repeated because an upstream or prior step failed
Why Us
What sets our cost-to-collect practice apart.
Traditional cost programs remove capacity while leaving the defects and handoffs intact. First-Pass Performance reduces the work itself, directs people to higher-value exceptions, and makes the cost and consequence of rework visible.
Rework-Powered Cleanup Machine
Our First-Pass Performance
Exception handling
Every edit, denial, and follow-up adds another task for an already stretched team.
Validation rules and upstream controls reduce the exceptions requiring manual intervention.
Resource deployment
Staff work broad inventories based on age or activity targets, regardless of effort or financial value.
Work is prioritized by financial significance, resolution effort, filing risk, and likelihood of recovery.
Work effort
Teams correct avoidable defects, repeat touches, and move accounts between queues.
Workflows are designed to complete the account accurately at the earliest practical point.
Workflow ownership
Work moves between functions with limited visibility into who created the defect or who should correct it.
Each defect is connected to its source workflow, accountable owner, and corrective action.
Cost governance
Departments report staffing and productivity, while the full cost of rework remains fragmented.
One view connects labor, transaction volume, rework, performance, and financial impact.
Revenue cycle thinking for leaders who need fewer surprises.
Explore Vee Healthtek perspectives on the forces reshaping revenue cycle performance, healthcare operations, technology adoption, and financial resilience.
OBBBA And Revenue Cycle Management: 2027 CFO Guide
The Revenue Cycle Rework Trap
Hospital Price Transparency in 2026
Price the rework hiding in one function's payroll.
Schedule a 30-minute working session with our cost-to-collect practice. Bring one function's volumes, staffing, and denial or rework counts. We will estimate the cost per touch, show which touches should not exist, and size the all-in savings, with the model left behind for your finance team.
Frequently Asked Questions
What does healthcare revenue cycle transformation include?

Healthcare revenue cycle transformation aligns workflows, roles, technology, data, controls, and governance across front-office, mid-office, and back-office functions. The scope should follow the performance problem and may include patient access, coding and documentation, charge integrity, claims, denials, reimbursement, A/R, patient balances, and the management system connecting them.
How is revenue cycle transformation different from outsourcing one function?

A single-function engagement focuses on defined work and service levels. Transformation examines how work moves across functions, where defects enter, how they affect financial and patient outcomes, and who owns corrective action. The two approaches can work together, but transformation requires shared measures and cross-functional governance beyond task completion.
Where should hospitals and health systems begin revenue cycle transformation?

Begin with a measurable business problem and the workflows that influence it. Examples include avoidable denials, reimbursement variance, high cost to collect, delayed billing, patient access friction, or inconsistent performance across sites. Establish baseline definitions, map handoffs and exceptions, identify ownership gaps, and prioritize changes by financial significance and operational feasibility.
Can revenue cycle transformation work with our current technology and teams?

Yes, when the operating model starts with the systems, teams, workflows, and controls already in place. The scope can be modular or cross-functional. Any change to technology, integration, staffing, or workflow should be based on verified requirements and a clear link to the intended performance outcome.
How do you measure revenue cycle transformation?

The scorecard should combine financial, operational, quality, and patient measures tied to the transformation goal. Relevant KPIs may include clean-claim rate, denial rate, days in A/R, DNFB, net collection rate, underpayment recovery, first-pass resolution, manual touches, cost to collect, authorization performance, coding accuracy, and patient balance resolution. Definitions and targets should be agreed using your data.
We've been through failed transformations. Why would this one stick?

Because nothing here depends on momentum or memory. Changes land one function at a time, each gets verified in a KPI you already track, durability gets re-audited quarters later, and the sequence pauses whenever evidence says pause. Programs fail when belief substitutes for measurement; this one is built so belief is never required.
Do we have to replace our EHR or billing systems to modernize?

No, and treat anyone who says otherwise carefully. The rebuild works inside your current platforms, RevAmp adds automation and instrumentation on top, and system decisions you make later inherit cleaner workflows rather than blocking on them. Modernization that starts with a forklift usually ends with just the forklift.
Where does a full revenue cycle rebuild usually start?

Where your data says the money is, which is rarely where the noise is. The working session baselines the cycle end to end, ranks functions by gap and feasibility, and sequences the first two or three moves. Front-door fixes often lead because everything downstream inherits them, but your numbers make that call, and the sequence stays yours to reorder.
How long before results show, and how are they measured?

Each step is scoped to prove itself within a review cycle or two on the KPI it targets, against the day-one baseline, with the worksheet attached. Cumulative payback gets tracked beside program cost from the start, so the question is answered continuously rather than at some distant wrap-up, and a step that cannot show its number does not get to claim success.
What happens when the engagement ends?

That ending is designed on day one. Every redesigned workflow is documented and owned by your team, automation carries runbooks and monitoring your people can operate, governance becomes your habit rather than our meeting, and the KPIs keep score without us. A rebuild that only works while the builder stays is a dependency, and the whole point is to retire that dependency.