MD Clarity vs Sift Healthcare
Two Payment Integrity & Underpayments vendors, side by side. Facts from public sources; judgments are ours.
At a glance
Derived from public facts · a rough scale, not a ranking
| MD Clarity | Sift Healthcare | |
|---|---|---|
| Pricing model | Not published · Custom quote by encounter volume | Not published |
| Speed to go live | Pre-built PM integrations, minimal setup | Data feeds plus worklist or EHR embed |
| Automation model | Software platform · Contract modeling, estimates, underpayment detection | Software platform · ML payments intelligence, embeds in workflows |
| Built for | Mid-size groups, Enterprise systems | Enterprise systems, Billing companies |
| Security posture | SOC 2 Type II, HIPAA | HIPAA |
| Company maturity | 16 yrs (est. 2010) | 9 yrs (est. 2017) |
| Financial backing | Bootstrapped | $40M+ · Series B |
| Named customers | 4 named | 1 named |
| Published results | No public numbers | No public numbers |
| Documented integrations | 3 listed | None documented |
| Third-party validation | None found | None found |
Bottom line
- Pick MD Clarity if you're a physician group or MSO that suspects payers are underpaying contracts and wants sidecar analytics without ripping out your PM system.
- Pick Sift Healthcare if you want predictive denial prevention and underpayment intelligence layered onto the RCM workflows and tools you already run.
MD Clarity
Underpayment detection and patient estimates for provider groups
- Founded
- 2010
- HQ
- Seattle, WA
- Stage
- Bootstrapped
- Raised
- n/a
What it does
- Line-item underpayment detection against contract terms
- Payer contract modeling and rate benchmarking
- Automated patient cost estimates and GFEs
- No Surprises Act compliance
- Denial tracking and categorization
- In-house underpayment recovery services
Where it's strong
- Does both detection and recovery: software surfaces variances and an in-house services team can chase the money, so you are not stitching two vendors together.
- Contract modeling plus estimates in one platform means the same rate engine powers payer accountability and patient transparency.
- Bootstrapped and profitable-minded, so no investor-driven pivots or forced upsells.
What buyers should weigh
- A smaller company (tens of employees), so implementation bandwidth and enterprise support depth are thinner than large RCM vendors.
- Value depends on loading accurate, current payer contracts; groups with messy or unmanaged contracts face real setup work.
- Aimed at physician groups and MSOs; large hospital systems on Epic may find native or enterprise tools a more common path.
Named customers
Radiology Imaging Associates · Community Care Partners · Summit Orthopedics · The Polyclinic
Integrations
Sift Healthcare
Payments AI and analytics for the revenue cycle
- Founded
- 2017
- HQ
- Milwaukee, WI
- Stage
- Series B
- Raised
- $40M+
What it does
- Unifies clinical, authorization, coding, and payment data
- Pre-bill denial prevention recommendations (RevProtect)
- Scores denials by overturnability and expected cash
- Guides UR, CDI, and coding staff in workflow
- Payment forecasting and patient payment intelligence
Where it's strong
- Genuine data science depth: models are trained on unified payments data and delivered inside existing pre-bill workflows rather than another standalone portal.
- Its annual Denials Insights report, now in its fourth year, shows real research muscle on payer behavior trends.
- The Series B led by B Capital in 2024 gives it runway to keep investing in its AI products.
What buyers should weigh
- Few publicly named customers; Hartford HealthCare is the notable reference, so demand more references during diligence.
- Value depends on integrating with your claims and clinical data feeds, which is a meaningful implementation lift.
- It is analytics and intelligence, not outsourced staffing, so you need a revenue cycle team ready to act on its recommendations.
Named customers
Hartford HealthCare
Compare against the rest of Payment Integrity & Underpayments
Deciding between these two?
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