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What We Deliver

Healthcare leaders do not need more activity. They need better performance - measured as outcomes.

Analytics, IT, Digital Transformation, and Automation Leaders

More revenue cycle throughput, without another integration project.

Every operations request lands in your queue, every vendor adds an access review, and every automation you approve becomes yours to keep alive. We built this engagement for analytics, IT, digital transformation, and automation leaders: work runs inside systems you already govern, automation arrives managed and monitored, and reporting reconciles to your definitions rather than competing for authority.

7 of top 20

U.S. health systems served

32M+

Coding charts processed annually

28M+

A/R claims managed annually

WHY PARTNER

Designed for the people who have to live with the technology.

Analytics, IT, Digital Transformation, and Automation leaders operate across EHRs, clearinghouses, payer connections, data platforms, workflow tools, security controls, and revenue cycle operations. Pilots can look promising while integrations, data quality, exceptions, adoption, and ownership remain unresolved. When technology sits beside the workflow instead of inside it, teams inherit more alerts, dashboards, and manual reconciliation instead of better outcomes. We supply certified operational capacity and the RevAmp platform on top of that foundation, so the revenue cycle gets throughput and intelligence while your architecture and security posture stay intact.

Build for the production environment

Automation that arrives with its own upkeep

Prove value through adoption

WHAT WE DELIVER

Technology-enabled support across the workflows you are transforming.

Front-office, mid-office, and back-office services provide the operating context, practitioners, data, and exceptions required to move automation from concept to production. Access, data, and change management run on your policies from day one.

Front-office

Rules-driven intake work automated first - human effort saved for exceptions.

  • Patient Access Management
  • Eligibility and Benefits Verification
  • Prior Authorization
  • Registration QA and Demographic Accuracy
  • Insurance Discovery and Coverage Discovery
  • Financial Clearance and Counseling
  • Price Transparency and Patient Estimates

Mid-office

AI-assisted coding under governance - throughput without model risk surprises.

  • Medical Coding
  • Clinical Documentation Integrity (CDI)
  • Charge Capture Optimization
  • Revenue Integrity and Leakage Prevention
  • Coding Audits and Quality Assurance
  • Risk Adjustment and HCC Coding
  • Computer-Assisted and AI-Enabled Coding

Back-office

Work sequenced by algorithmic priority - effort tracing to measurable return.

  • Claims Editing and Clean-Claim Validation
  • Denials Management and Appeals
  • Accounts Receivable Follow-Up
  • Complex AR Recovery
  • Underpayment Recovery and Payer Variance Resolution
  • Payment Posting and Reconciliation
  • Extended Business Office and Co-Managed Operations
WHAT WE IMPACT

Four wins for operations. Zero new technical debt for you.

Automation throughput

Claims Editing and Clean-Claim Validation · Computer-Assisted and AI-Enabled Coding - so routine volume moves without human touches and the exceptions arrive labeled for judgment.

Metric integrity

Revenue Integrity and Leakage Prevention · Coding Audits and Quality Assurance · Medical Coding - so the numbers operations reports and the numbers finance books reconcile without a referee.

Time to value

Extended Business Office and Co-Managed Operations · Accounts Receivable Follow-Up - so capacity lands on existing rails and shows value before a build project would have kicked off.

Analytics workload

Underpayment Recovery and Payer Variance Resolution · Complex AR Recovery - so variance hunting, denial analytics, and payer pattern work stop consuming your analysts' calendar.

HOW WE DELIVER

One operating model. Three pillars. Every engagement.

Expertise-led

Operators who respect an access policy as much as a deadline.

  • Certified revenue cycle teams working under your identity controls
  • Automation engineers who own the bots they deploy
  • A named lead fluent in both operations and your change process

Technology-powered

RevAmp reads from your systems and returns prioritization, flags, and proof.

  • Worklist intelligence delivered inside your existing queues
  • Exception handling designed, documented, and monitored
  • Feeds and extracts that land in your warehouse, your format

Operationally-governed

Change-managed like software, governed like a department.

  • Monthly reviews covering outcomes and the tech behind them
  • Automation performance published: coverage, exceptions, drift
  • Access recertified and logged on your review calendar

Our Vision

Open Accountability: Taking responsibility without taking control.

You keep architecture authority, security standards, data governance, systems, access controls, and decision rights. We take responsibility for the workflows, integrations, automation, analytics, and outcomes we agree to own. Rules, exceptions, human review, adoption, incidents, and performance stay visible. Renewal is earned through results, not dependence.

Open accountability - transparent reporting and shared ownership of revenue cycle outcomes

Automation coverage

Share of routine transactions handled without a touch

Exception rate

Automated work kicked back for human handling

Definition parity

Our reporting matched to your warehouse definitions

IT lift

Hours your teams spend supporting the engagement

Access compliance

Provisioning, reviews, and removal on your policy clock

Why Us

Replace pilot accumulation with First-Pass Performance.

When technology is evaluated by launch activity instead of operational outcomes, pilots multiply while users work around them. First-Pass Performance ties each use case to the defect it should prevent, the workflow it changes, the exceptions it creates, and the outcome it must improve.

Rework-Powered Cleanup Machine

Our First-Pass Performance

Use-case selection

Projects begin with a tool or feature looking for a process.

Use cases begin with a defined defect, workflow, user, baseline, and outcome.

Integration

Point solutions add handoffs, files, and reconciliation outside the core workflow.

Integration and data movement are designed with ownership, controls, and exception paths.

Automation

Straight-through rates look strong while manual exception work expands elsewhere.

Automation performance includes eligibility, exceptions, fallback, quality, and downstream impact.

Adoption

Deployment is counted as success even when users work around the new process.

Role-based adoption, feedback, support, and workflow usage are governed alongside outcomes.

Accountability

Technology and operations report activity while outcome ownership stays unclear.

Agreed work has a named owner, shared measures, governance cadence, and visible corrective action.

POINTs OF VIEW

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.

Bring one transformation use case. Leave with a clearer production path.

Use a 30-minute working session to examine one issue such as fragmented data, manual exception work, automation that has stalled, inconsistent analytics, integration risk, weak adoption, or unclear ROI. Bring the workflow, architecture, queue, dashboard, or KPI that concerns you. We will map the operating problem, dependencies, ownership, controls, and measures required for production.

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Frequently Asked Questions

How can technology-enabled revenue cycle support fit into your existing architecture?

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Which revenue cycle workflows can you support with analytics and automation?

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How do you move a revenue cycle automation use case from pilot to production?

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How do you approach AI governance in revenue cycle operations?

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How do you prevent automation from shifting work to another queue?

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How do you work with existing EHR and revenue cycle systems?

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Which analytics and automation KPIs can we govern together?

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What should you bring to an initial working session?

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