TLC Revenue

Built by a healthcare-deal CPA · Claim-level · Fully traceable

Know what every claim will actually collect.

TLC Revenue scores every visit for anticipated collections against your own claim history and recalibrates the forecast weekly as cash posts. Revenue recognition, AR, and forecasting run on one reconciled dataset that refreshes every morning.

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Scored
Every claim carries its own anticipated collections, built from how your claims have actually paid.
Backtested
The model is re-run at weekly cutoffs across years of your history and compared to the cash that arrived.
Traceable
Every number on every page drills to the visit, the payor, and the posting behind it.
Service Date Overview
TLC Revenue Service Date Overview dashboard with KPI cards, monthly trend chart, and category breakdown panels.

The workspace

Three views of your revenue, one reconciled dataset.

Claim-level analytics, reimbursement review, and forecasting are built on the same daily-refreshed data. The close, the forecast, and the board view always agree because they are the same numbers.

Financial Visibility

See where revenue stands every morning.

Service-date and payment views refresh daily across your full claim history. Charges, collections, AR, and visit volumes are current when you open the workspace, and any number on the page drills to the patient-level transaction behind it.

  • Daily refresh of charges, collections, and AR across the full claim history
  • Service-date and payment-date views of the same reconciled data
  • Drill from the top line to the individual transaction in two clicks
Reimbursement Intelligence

Know what each payor owes you, and what they actually paid.

Payor, plan, and contract mappings are built against your own claim history and stay current as your billing changes. Under-payments surface while the claim is still young enough to work, before they age quietly inside aggregated AR.

  • AR aging, denials, and recovery patterns segmented by payor and provider
  • Remaining collectibility estimated for every aged claim
  • Contract variance flagged in the period it posts
Forecasting & Risk

A forecast you can check, held to Financial Due Diligence standards.

Every claim is scored for anticipated collections against development curves built from your own history. Then the model is tested the way a diligence team would test it: re-run at weekly cutoffs across years of your claim history and compared to the cash that actually arrived.

Weekly Every claim is re-scored as new cash posts, and the model is calibrated against your own collection history.
  • Anticipated collections per claim, recalibrated weekly against actuals
  • Risk concentration across CPT, payor, location, and provider
  • Expected refunds scored alongside expected collections

Who it's for

Two users, one source of truth.

Controllers need the books closed cleanly. Executives and sponsors need to know what is driving the number. Both work from the same claim-level dataset.

Controllers & Finance Teams

How do we close the books in days without giving up claim-level rigor?

What we show you.

A claim-level revenue recognition workflow with a transparent mapping layer underneath. Every dollar booked traces to a specific visit, a specific payor, and a specific posting, and the month-over-month change decomposes into the individual claims that moved it.

What changes for you.

  • Day-1 close instead of Day-15 or later
  • Manual revenue estimates and patient-by-patient lookups come off the month-end checklist
  • The GL, the EMR, and AR aging reconcile to one story
  • Under-payments and contract variance surface in the period they occur
Executives, PE Operators & Sponsors

Where is revenue actually coming from, and is its quality holding up?

What we show you.

Asset-level visibility into the drivers behind each dollar: provider, location, payor, contract, and CPT. Anticipated collections are scored per claim against curves built from the company's own history, so the forecast is grounded in what your claims have actually paid.

What changes for you.

  • See the drivers behind the headline number before diligence does
  • Claim-level depth on demand, refreshed daily
  • Reimbursement deterioration shows up within weeks, while it is still fixable
  • One shared view across the operator and the sponsor at the board meeting

How it runs

How TLC actually runs.

Three steps. Your data flows in on day one, the system enriches and validates it, and the workspace is live the same week.

  1. 01 Ingest

    Connect your data without an integration project.

    We connect directly to your EMR to pull a daily extract of charges, payments, adjustments, and AR. Mappings for payors, providers, locations, and CPT codes are built against your actual historical data rather than a generic template.

    • Direct extract from EMR and GL, refreshed every morning
    • Full lineage from every source row to every transformation
    • Dedicated single-tenant AWS environment, encrypted in transit and at rest
  2. 02 Enrichment

    Methodology designed by a healthcare-deal CPA, applied automatically.

    Mappings are enriched against your full claim history, and totals are reconciled to the GL and the bank statement. Anomalies, duplicates, and contract variance surface before launch. The methodology was designed by a CPA with more than a decade of healthcare transaction experience, and it runs on every refresh.

    • EMR-agnostic views built from enriched mappings
    • Totals per EMR reconciled to the GL and the bank statement
    • Anomalies, duplicates, and contract variance surfaced before launch
  3. 03 Living workspace

    A workspace that refreshes every morning.

    Once live, the workspace refreshes each morning with the prior day's activity. Forecasts recalculate as cash is collected, contract variance is flagged as it posts, and your team works inside the same dashboard the board sees.

    • Daily refresh of charges, payments, AR, and forecasts
    • Contract variance flagged the day it posts
    • Forecast recalibrated weekly against your own collection history

Why now

The market has changed. Most reporting has not caught up.

Healthcare services has shifted from a buy-and-flip market to an operate-and-improve one. Four changes make claim-level revenue quality the place that improvement now lives.

Operators win on operations.

Holding periods are extending and exit multiples no longer carry the return. Sponsors clear their hurdle by expanding margin through real operational improvement, and at today's spreads that improvement lives in revenue quality more than revenue volume.

Provider margins are getting squeezed from both sides.

Labor costs are rising while payor behavior tightens. The dollars hiding inside misposted contracts, stale mappings, and aged AR used to be a rounding error. At today's margins they are the difference between a healthy quarter and a covenant conversation.

AI products promise lift. Few show their work.

The provider market is full of black-box tools promising collections lift. Finance leaders and capital partners keep converging on the same question: can you show your work? A transparent, claim-level methodology that is tested against your own history answers it.

Claim-level revenue visibility is becoming standard in healthcare diligence.

Buyers, lenders, and boards increasingly expect a claim-level view of how revenue is earned and recognized. Operators who can produce that view on demand negotiate from strength. Operators who cannot spend the process explaining variances.

Get in touch

Talk to the founder about your business.

Tell us a bit about your team and we will set up a walkthrough on your own data. Most replies go out within one business day.