Scale revenue cycle capacity without scaling complexity.
Every growth event, an acquisition, a new service line, a payer surge, arrives with the same invoice: more people, more training, more systems. We help healthcare providers scale with technology instead: RevAmp automation plus certified practitioners absorb the added volume on the platforms you already run, and quality gets watched hardest exactly when counts climb.
7 of top 20
U.S. health systems served
80%
Appeal success Rate
28M+
A/R claims managed each year
Build capacity that keeps performance stable as demand changes.
Healthcare revenue cycle scale is not just more automation or more staff. It requires accurate inputs, standardized workflows, targeted technology, and clear ownership across hospitals, physician enterprises, ambulatory networks, and specialty settings. We help you reduce manual exceptions, focus people on work that needs judgment, and govern performance across functions without forcing every operation into a single model.
Expand capacity without multiplying manual work
Standardize performance across sites and functions
Keep technology, workflow, and ownership connected
Growth strains four muscles. Technology carries the load.
Front-office, mid-office, and back-office revenue cycle support engineered for elasticity: automation where work repeats, specialists where it doesn't, surge coverage for the seasons and the acquisitions, and coding capacity available the week you need it, all without replacing a single system.
Automate the work that repeats
- Payment Posting and Reconciliation
- Computer-Assisted and AI-Enabled Coding
- Claims Editing and Clean-Claim Validation
- Claim Submission and Clearinghouse Support
Connect operations and technology
- Underpayment Recovery and Payer Variance Resolution
- Denials Management and Appeals
- Accounts Receivable Follow-Up
- RevAmp
Absorb surges without a hiring cycle
- Extended Business Office and Co-Managed Operations
- Patient Communication
- Scheduling and Registration
Add coding capacity on demand
- Medical Coding
- Clinical Documentation Integrity (CDI)
- Coding Audits and Quality Assurance
- Risk Adjustment and HCC Coding
Standardize the work. Reduce exceptions. Direct effort where it matters.
Reduce manual work before it reaches a queue
Validation, rules, and workflow controls address repeatable defects early, so teams spend less time on avoidable corrections and duplicate touches.
Standardize work across growing operations
Common definitions, routing, and quality controls support consistency across hospitals, physician enterprises, ambulatory sites, and specialty workflows.
Focus practitioners on decisions that need judgment
Work is prioritized by financial significance, filing risk, complexity, and likelihood of resolution instead of broad age or activity targets.
Turn performance data into corrective action
Workflow, exception, quality, and financial signals connect to an accountable owner, root cause, action, and validation.
One operating model. Three pillars. Every engagement.
Practitioner-led
Revenue cycle specialists define where rules, automation, and human judgment belong.
- Functional expertise across access, coding, billing, denials, and A/R
- Workflow design grounded in provider and payer realities
- Named accountability for quality, exceptions, and financial performance
Technology-powered
Technology validates, routes, prioritizes, and surfaces work across the revenue cycle.
- Rules and controls that reduce avoidable exceptions
- Work prioritization based on risk, value, and resolution effort
- Connected visibility into volume, quality, rework, and outcomes
Operationally-governed
Performance is managed through shared definitions, ownership, and corrective action.
- Governance tied to operating and financial KPIs
- Root-cause review for recurring defects and workflow friction
- Closed-loop action that validates whether changes improve performance
Our Vision
Open accountability: Taking responsibility without taking control.
Technology-enabled revenue cycle services should strengthen your operating model, not create a black box. You retain visibility into workflows, exceptions, service levels, ownership, and agreed KPIs. We connect practitioner expertise, technology, and governance so you can expand capacity modularly, across selected functions or the broader revenue cycle, while keeping decisions grounded in your data and priorities.
Automation rate
Share of eligible work completed through defined automation
Exception rate
Share of transactions routed for manual review or correction
First-pass resolution
Work completed correctly without repeat handling
Manual touches
Human interventions required to complete a transaction
Cost to collect
Operating cost required to convert earned revenue into cash
Why Us
What sets our scale-with-technology practice apart.
Hiring your way through growth buys the same bottleneck in a larger size. First-Pass Performance grows the throughput itself, making each account need fewer touches at any volume.
Rework-Powered Cleanup Machine
Our First-Pass Performance
Technology strategy
Tools are added to isolated pain points without redesigning the workflow.
Technology is applied to defined decisions, controls, and performance goals.
Exception handling
Automation moves defects into new queues for teams to resolve later.
Validation rules and upstream controls reduce avoidable manual exceptions.
Resource deployment
Staff work broad inventories by age or activity target.
Work is prioritized by value, risk, effort, and likelihood of resolution.
Workflow ownership
Defects move between functions with limited visibility into their source.
Each recurring defect connects to a source workflow, owner, and corrective action.
Performance governance
Departments report tool activity while operational and financial impact stays fragmented.
One view connects volume, automation, quality, rework, ownership, 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
See where technology can remove work, not just move it.
Schedule a 30-minute working session with our revenue cycle lead. Bring one workflow pressure point, such as growing inventory, manual validation, disconnected queues, recurring denials, coding variation, or limited performance visibility. We will map where work enters, where exceptions multiply, which decisions require practitioner judgment, and where technology and governance can improve capacity.
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.