Revenue cycle · Revenue integrity / coding audit
MDaudit
MDaudit is a revenue integrity and billing compliance platform for health systems. Audit, coding quality, and denial-related analytics teams use it to find preventable leakage and compliance risk. It is not a full claims clearinghouse by itself.
Strong fit
- Health systems that want billing compliance, coding audits, and denial analysis in one platform
- Billing accuracy teams that track preventable denials and audit findings
- Groups combining audits done before billing and after billing
Weak fit
- Small practices that only need basic eligibility checks
- Buyers who want to outsource billing entirely instead of buying software
- Teams with nobody in charge of coding or compliance
Bottom line
MDaudit is worth using for mid-sized and large providers buying revenue integrity and audit software. It suits teams that will let audit findings change how coders and documentation staff work. Buyers who only need a claims portal or payments platform should look at Waystar.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
MDaudit is a billing accuracy and compliance platform for health systems and large physician groups. It covers audits, risk monitoring, and denial analysis.
Its focus on compliance sits next to claims platforms like Waystar. It does not replace a clearinghouse or a complete claims suite.
Results improve when audit findings and denial predictions change how coders and documentation teams work.
Setup needs data feeds from billing systems and a planned process for auditors. Pricing follows a large-enterprise software model and is not published.
Among the billing tools we review, MDaudit scores in the middle, below Waystar's broader platform.
Waystar suits buyers focused on payments and remittances. AKASA suits buyers who want generative AI to automate billing work queues.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| SmarterDx | 7.6 | 7.2 |
| CodaMetrix | 7.6 | 7.3 |
| Fathom | 7.5 | 7.2 |
| Charta Health | 7.5 | 7.5 |
| MDaudit | 7.4 | 7.1 |
| Arintra | 7.2 | 7.1 |
| Maverick Medical AI | 7.2 | 7.1 |
| Nym | 6.6 | 6.4 |
Pricing
| Item | Detail |
|---|---|
| Model | Cloud software for large organizations, covering billing accuracy, audits, and related modules. |
| What usually drives cost | Number of facilities and providers, modules (pre-bill review, denial prediction, coder tools), and data volume. |
| What to ask before you buy | First-year cost for your facilities, which older Streamline Health products are included, and auditor seats. |
| Published pricing | MDaudit does not publish prices. Expect a custom quote. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get MDaudit to function | |
| Access to billing and coding system data | The analysis needs claims and charge data. |
| Billing accuracy or compliance owners | Findings without owners end up as unread reports. |
| A planned process for auditors | Software does not replace people to do reviews. |
| Agreement on how much to audit before billing and after | Open-ended audits create churn. |
| A way to teach providers about documentation problems | Fixing codes alone does not fix the cause. |
| What will maximize your value | |
| Track preventable denials and what audits find | Those are the numbers CFOs usually ask for. |
| Share findings with documentation and specialty leaders | Billing accuracy takes several teams. |
| Adjust rules to fit your payers | General national rules miss your local problems. |
| Save auditor time for the reviews that matter most | Auditing everything at once makes audits less accurate. |
| Review rules after major coding updates | Out-of-date rules let money slip away again. |
| Deal-breakers | |
| You only need basic eligibility checks. | |
| Nobody owns coding or compliance. | |
| You want to outsource billing, not buy software. | |
| Access to billing system data is blocked. | |
| Leaders expect denials to vanish at once without changing how staff work. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | From signing to kickoff | 3-7 weeks for security review and mapping data |
| 2 | From kickoff to first use | 8-16 weeks until the first audit programs are running |
| 3 | From first use to steady results | 3-6 months of adjusting rules and teaching staff |
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.