The 60-second answer
A medical practice's bank statements lie. Not maliciously — they just understate the truth. Insurance payers reimburse 30 to 90 days after the encounter, contractual write-offs eat 30–60% of gross charges before anything hits the deposit, and denials siphon another 5–15% silently into the AR aging report.
A bank-statement-only MCA underwriter sees the net deposit and prices a generic medical factor (typically 1.32–1.42 for a healthy practice). An EHR/PMS-aware underwriter sees the gross charges, the contractual adjustment percentage, the days-in-AR by payer, and the clean-claim rate — and can price a healthy practice down to 1.20–1.28, or correctly price a struggling one up to 1.45–1.55.
For most medical practices, EHR/PMS data is a meaningful pricing lever. The question is which funders read it, what they see, and whether your data tells a story that helps or hurts.
EHR vs PMS: the data funders actually want
EHR (electronic health record) systems store clinical data — chart notes, problem lists, medications, imaging, lab results. Funders don't want any of this.
PMS (practice management system) data is what they care about: scheduling, charges, payments, AR aging, payer mix, claim status, and denial reasons. Most modern systems combine both (Athenahealth, eClinicalWorks, NextGen, Kareo, Epic Community Connect, Cerner Millennium, DrChrono) — the funder just needs read access to the PMS reports.
The integration is usually a read-only API token or a scheduled report export (CSV or PDF). HIPAA-compliant funders execute a Business Associate Agreement (BAA) if any PHI could flow through; most strip PHI at the PMS layer and only ingest aggregated financial fields.
The seven PMS metrics an EHR-aware underwriter pulls
- Gross charges per month (trailing 6 months). The pre-adjustment production number. Smooths out lumpy reimbursement timing.
- Contractual adjustment percentage. The difference between billed charges and allowed amounts. A primary-care practice typically writes off 35–50%; a specialty surgical practice 20–35%; a Medicaid-heavy clinic 50–65%. Outside the norm in either direction triggers manual review.
- Days in AR (overall and by payer). Under 35 days is excellent. 35–50 days is normal. 50–75 days indicates collection friction. Over 75 days is a major red flag.
- Payer mix. Percentage of revenue from commercial PPO/HMO, Medicare, Medicaid, workers' comp, self-pay, and other. Mix shifts the risk profile dramatically.
- Clean claim rate. Percentage of claims paid on first submission. Above 92% is excellent. Below 85% indicates billing-team problems that will hurt cash flow.
- Denial rate by reason code. Concentration of denials in specific CARC codes can signal coding issues, credentialing gaps, or payer contract problems.
- Encounter volume trend. New patient vs established patient counts month over month. Funders use this to model forward revenue more accurately than bank deposits allow.
How EHR data flows through each major system
Epic
Most large hospital systems and academic practices. Direct API integrations for MCAs essentially don't exist — Epic doesn't expose financial APIs to third-party funders. What funders can get: month-end AR reports (Wisdom or Resolute reports) exported as PDF or CSV, plus your practice's own financial statements. If you're on Epic, expect to export reports rather than authorize live access.
Cerner (Oracle Health)
Similar story — limited third-party integration. Most Cerner-based practices submit financial reports manually. A few funders have built scrapers for Cerner's PowerChart financial dashboard, but coverage is limited.
Athenahealth
The most MCA-integration-friendly EHR. Athena's API supports read-only access to financial reports including aged AR, payer mix, and production by provider. Several healthcare-vertical MCAs (Healthcare Finance Direct, BHG, a handful of specialty lenders) have built direct ingestion pipelines.
eClinicalWorks
Mid-market and smaller practices. API-accessible financial reports through eClinicalWorks eBO (electronic business office) module. Coverage with funders is growing but still smaller than Athena.
NextGen, Kareo (Tebra), DrChrono, AdvancedMD
Smaller-practice systems with varying API maturity. Kareo (now Tebra) has the strongest third-party reporting integration; DrChrono and AdvancedMD are catching up. Many funders will accept CSV exports from any of these as a starting point.
Payer mix and how funders price for it
Payer mix is the most underweighted variable in bank-statement-only MCA underwriting. Same monthly deposits can come from very different payer compositions:
- Commercial PPO/HMO heavy (60%+). Fast payment (15–30 days), high clean-claim rates, predictable cash flow. Funders see this as A-paper healthcare and price accordingly (1.18–1.28).
- Medicare heavy (50%+). Reliable, slightly slower (25–40 days), lower denial rate. B-paper healthcare (1.24–1.32).
- Medicaid heavy (40%+). Slow payment (45–90 days), high denial rates, state-specific reimbursement risk. C-paper healthcare (1.34–1.46).
- Workers' comp heavy. Slow payment but high reimbursement rates; litigation risk on disputed claims. Variable pricing — depends on state.
- Self-pay heavy (cosmetic, concierge). Fast cash but volume volatility. Often best-priced if backed by strong card processor volume.
A practice that bank statements suggest is doing $200K/month in deposits could be a 1.22-factor deal or a 1.45-factor deal depending on what those deposits are made of. EHR data is what lets the underwriter tell the difference.
Where EHR data hurts your file
- AR aging climbing. If 30+ day AR has grown 20% over the trailing quarter, sophisticated underwriters read it as a billing operations problem and price higher.
- Clean claim rate dropping. A move from 94% to 87% over six months signals a billing team turnover or a coding issue. Real cash impact, prices for it.
- Payer concentration risk. If one commercial payer accounts for 40%+ of revenue and that contract is up for renewal, the funder will discount accordingly.
- Encounter volume declining. Two consecutive months of dropping new patient counts is a leading indicator the funder will catch even when deposits look fine.
- Compliance flags. A practice on a CMS Recovery Audit Contractor (RAC) audit, a payer takeback in process, or a credentialing lapse will surface in PMS data even if not yet hitting deposits.
The healthcare MCA decision workflow
- Pull a 6-month PMS summary. Charges, adjustments, payments, AR aging by payer, payer mix, clean claim rate. One page.
- Compare your numbers to typical benchmarks for your specialty. A primary care practice with 90-day AR is in trouble; a hospital-based specialty practice at 90 days may be normal.
- Route accordingly. Strong PMS data + clean books → healthcare-vertical MCAs that read EHR/PMS data (BHG, Healthcare Finance Direct, specialty platforms). Strong bank statements but weak EHR data → generic MCAs that won't dig in (Credibly, Forward Financing, Kapitus).
- Time the application. Avoid applying right after a major payer takeback or refund, even though the EHR data may stabilize. The funder will catch the anomaly.
- Sign a BAA if PHI is involved. Most reputable healthcare-vertical funders provide one as standard. If they don't, walk away.
When an MCA actually fits a medical practice
The right use cases for an MCA in a healthcare context:
- Bridging a 60–90 day delay on a major payer contract renewal payment
- Funding a new piece of imaging or surgical equipment when an SBA loan won't close in time
- Covering payroll during a credentialing lag for a new provider
- Acquiring a smaller practice where the seller wants cash and the SBA process is too slow
The wrong use cases — and they're alarmingly common in healthcare — include funding chronic billing department dysfunction, replacing a maxed-out personal credit line that accumulated from prior practice losses, or stacking on top of an existing MCA to keep payroll afloat.
Frequently asked questions
- Do MCA funders actually integrate with my EHR?
- A growing subset do — typically through the practice management (PMS) side rather than clinical EHR. Funders like Bankers Healthcare Group, Healthcare Finance Direct, and a handful of vertical MCAs have built integrations with Athenahealth, eClinicalWorks, NextGen, Kareo, and DrChrono. Larger systems like Epic and Cerner are accessed indirectly through accounts receivable reports.
- What does an EHR-aware funder see that a bank-statement-only funder doesn't?
- Three things: gross charges before contractual write-offs, days in AR by payer, and clean vs denied claim rates. These metrics together give a far more accurate picture of practice health than bank deposits alone. A practice with great deposits and a 90-day AR can be hiding cash-flow trouble that surfaces in the EHR data.
- Will connecting my EHR violate HIPAA?
- No, if done correctly. Funders only request operational and financial data (charges, payments, AR aging by payer) — not protected health information (PHI). The data flows through PMS reports that already aggregate at the encounter/payer level. Make sure the funder signs a Business Associate Agreement (BAA) if any PHI is touched, and verify what fields they're actually pulling.
- Does payer mix affect my MCA pricing?
- Significantly. A practice heavy in Medicaid (slow pay, high denial rate) gets worse pricing than the same revenue size with commercial PPO mix (fast pay, low denial). EHR-aware funders price payer mix directly. Bank-statement funders see only the deposit totals and miss the underlying risk.
- What if my EHR shows declining production?
- Sophisticated underwriters will catch a declining trend even in a single quarter. If your charges are dropping month over month, expect tighter pricing or smaller advance sizing. The right answer isn't to hide the data — it's to wait for two months of recovery before applying, or to route to a less-EHR-aware funder where the bank statements still tell a flat story.