Revenue cycle · Underpayments, denials & estimates
MD Clarity
MD Clarity is a revenue cycle platform that helps provider organizations get paid in full, with tools for patient estimates, denial workflows, payer underpayment detection, and contract analytics.
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
- Groups that cannot assign staff to review flagged underpayments
Bottom line
MD Clarity is worth considering for mid-sized specialty groups that need underpayment detection, denial workflows, contract visibility, and patient estimates from one vendor without buying a large platform. It works best when billing staff have time to review the underpayments and denials it flags.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
MD Clarity helps provider groups find payer underpayments, manage denials, organize payer contracts, and produce patient estimates, including Good Faith Estimates. Its main buyers are specialty practices and mid-sized provider groups that want these tools without a platform the size of Waystar. It does not include a full claims clearinghouse.
Prices are quoted for each customer, and a package may combine software with recovery services. MD Clarity says it has found large total underpayment and denial amounts across its customers.
Among the billing tools we review, MD Clarity scores below Collectly and MDaudit. MDaudit suits audit and billing accuracy programs, and Collectly suits groups whose main gap is collecting from patients.
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 |
| Rivet | 6.8 | 7.2 |
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 | No price list is posted on MD Clarity's website. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get MD Clarity to function | |
| Claims, payment, and contract data you can share | MD Clarity needs claims, payment, and contract data to spot underpayments. |
| Billing staff who own the review queues | Flagged underpayments and denials only turn into money when someone reviews them. |
| Clear goals: recovering money, accurate estimates, or both | Knowing whether recovery or estimates comes first decides which modules to set up first. |
| Staff time for appeals and payer follow-up | The software flags money owed, but staff still file the appeals and follow up with payers. |
| Your starting underpayment and denial rates by payer | Your own starting rates are the baseline for measuring what MD Clarity recovers. |
| What will maximize your value | |
| Track money recovered and estimates completed | These two numbers show whether the software is paying for itself. |
| Start with your biggest payers and most common denial reasons | A narrow start lets staff learn the review queues before volume grows. |
| Price software and recovery services separately in the contract | Separate prices show what the software and the recovery service each cost. |
| Train staff to look up contract terms | Contract analytics help only when staff use the terms in appeals and payer calls. |
| Review wrong underpayment flags every week at first | Catching wrong flags early keeps staff confident in the underpayment list. |
| 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.