Revenue cycle · Underpayments, denials & estimates
MD Clarity
MD Clarity is a platform that helps providers get paid in full, with tools for patient estimates, denial workflows, payer underpayment detection, and contract analytics for provider organizations. It is not an end-to-end claims clearinghouse.
Strong fit
- Specialty practices and mid-sized provider groups going after payer underpayments and denials they can appeal
- Teams that also want patient estimates and Good Faith Estimates from the same vendor
- Billing leaders willing to staff the review queues the software creates
Weak fit
- Health systems buying a complete claims clearinghouse and patient payment suite
- Groups with simple contracts and almost no denials
- Buyers who will not work the underpayment lists
Bottom line
MD Clarity is worth considering for mid-sized specialty groups that need underpayment detection, denial workflows, contract visibility, and patient estimates without a large platform. It suits groups that can check peer references in their specialty. Patient collections buyers may prefer Collectly, and audit programs may prefer MDaudit.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
MD Clarity helps provider groups find payer underpayments, manage denials, organize contracts, and produce patient estimates, including Good Faith Estimates.
It does this without a platform the size of Waystar, and it is not a full clearinghouse.
MD Clarity says it has found large total underpayment and denial amounts across its customers. Those totals are not a promise of what your group will recover, so ask for references from peers in your specialty.
Prices are quoted for each customer and may mix software with recovery services.
Among the billing tools we review, MD Clarity scores below Collectly and MDaudit. Its packages mix software and services, and it does not publish prices.
MDaudit suits audit and billing accuracy programs. Collectly suits groups whose main gap is collecting from patients.
Its score will stay where it is until it proves recovery results and has references in each specialty.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Adonis | 7.8 | 7.6 |
| Turquoise Health | 7.8 | 7.4 |
| Enter Health | 7.3 | 7.0 |
| Serif Health | 7.3 | 7.6 |
| SuperDial | 7.2 | 7.0 |
| Sift Healthcare | 7.1 | 6.8 |
| MD Clarity | 6.9 | 6.7 |
| Janus Health | 6.9 | 6.9 |
Pricing
| Item | Detail |
|---|---|
| Model | Software for estimates, denials, underpayments, and contract analysis, sometimes paired with recovery services. Priced by quote. |
| What usually drives cost | Claim and payment volume, which modules you turn on, and whether recovery services are included. |
| What to ask before you buy | Software fees compared with percentage-of-recovery or service fees, and the recovery you can expect for your payer mix. |
| Published pricing | MD Clarity does not publish prices. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get MD Clarity to function | |
| Claims, payment, and contract data you can share | Finding underpayments needs these documents. |
| Billing staff who own the review queues | Lists without owners get ignored. |
| Clear goals: recovering money, accurate estimates, or both | Mixed goals muddle setup. |
| Staff time for appeals and payer follow-up | Software finds the money; people collect it. |
| Your starting underpayment and denial rates by payer | The vendor's totals across customers are not your starting point. |
| What will maximize your value | |
| Track money recovered and estimates completed | A feature demo is not a return. |
| Start with your biggest payers and most common denial reasons | Doing everything at once stalls teams. |
| Price software and recovery services separately in the contract | Combined invoices hide what each part costs. |
| Train staff to look up contract terms | Stored contracts nobody checks help no one. |
| Review wrong underpayment flags every week at first | False alarms wear down trust. |
| Deal-breakers | |
| You mainly need a full clearinghouse suite. | |
| You will not staff reviews or appeals. | |
| Claims and contract data cannot be shared. | |
| You have almost no denials or underpayments. | |
| Leaders expect money to come in without changing how staff work. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | From signing to kickoff | 2-6 weeks for security review and setting up claims or chart data feeds |
| 2 | From kickoff to first use | 6-14 weeks for the first specialty or facility |
| 3 | From first use to steady results | 3-6 months before recovery or coding results level off |
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.