Population health & analytics · Health data intelligence
IMAT Solutions
IMAT Solutions provides health data intelligence and population reporting software for payers, HIEs, and provider networks. It is not an EHR replacement.
Strong fit
- Payers, HIEs, and provider networks that need real-time healthcare data aggregation and quality reporting
- Teams replacing brittle batch data warehouses with a health-data intelligence platform
- Buyers comparing mid-market population health analytics peers rather than enterprise data-platform giants
Weak fit
- Critical-access clinics that only need a lightweight EHR quality dashboard
- Buyers shopping ambient scribes or patient-billing tools with no analytics mandate
- Organizations unwilling to fund data-source onboarding
Bottom line
IMAT Solutions earns a Recommend on our population health and analytics board. The Pleasant Grove, Utah company, led by CEO Ken Barbe, sells health data intelligence and interoperability software for quality reporting and related analytics. Third-party revenue near $13M places it inside the prefer band. Outcomes depend on clean source feeds and governance more than on dashboard screenshots. Implementation is a data project. Score sits under Azara, Persivia, and Trella on category brand breadth and above Lightbeam when a smaller mid-market data platform is the better fit.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
IMAT Solutions is a Pleasant Grove, Utah health data intelligence company led by CEO Ken Barbe. The platform focuses on aggregating clinical and related healthcare data for quality reporting and analytics.
It is population health software, not an EHR. Compare Azara when safety-net DRVS workflows are the buy, Persivia when CareSpace-style pop health suites are in play, and Trella when post-acute analytics dominate the use case.
Score reflects genuine mid-market data-platform fit with ordinary onboarding and pricing-clarity limits.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Azara Healthcare | 7.6 | 7.2 |
| Syra Health | 7.4 | 7.1 |
| Persivia | 7.4 | 7.1 |
| Trella Health | 7.3 | 7.0 |
| IMAT Solutions | 7.0 | 6.7 |
| Olio | 6.9 | 6.7 |
| Elligint Health | 6.9 | 6.6 |
| Relevant Healthcare | 6.8 | 6.6 |
| Lightbeam Health Solutions | 6.8 | 6.5 |
Pricing
| Item | Detail |
|---|---|
| Model | SaaS health data intelligence and population reporting platform; pricing is quote-based by organization size and data volume. |
| What usually drives cost | Member or patient population, data sources, modules, and support. |
| What to ask in diligence | All-in first-year cost including data onboarding and ongoing SaaS at your population size. |
| Published pricing | Public list price: not published; expect enterprise SaaS quotes. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get IMAT Solutions to function | |
| Named analytics owner for quality and care-gap programs | Dashboards without owners do not change care. |
| Source-system inventory (EHR, claims, ADT) documented | Missing feeds recreate blind spots. |
| Baseline quality and care-gap metrics captured | You cannot prove value without a before number. |
| Data-sharing and BAA path cleared | Blocked feeds stall go-live. |
| Clinic workflow owners for outreach lists | Reports without outreach change nothing. |
| What will maximize your value | |
| Track closed care gaps weekly for 90 days | Login counts are not outcomes. |
| Pilot one contract or cohort before enterprise banners | Narrow wins beat empty rollouts. |
| Retire duplicate spreadsheet trackers after parallel month | Dual entry doubles cost. |
| Hold a standing huddle on feed failures | Silent aging hides bad data. |
| Publish a monthly quality digest to clinical leaders | Hidden friction surprises everyone. |
| Deal-breakers | |
| Nobody will own data onboarding or quality workflows. | |
| You refuse the interfaces the platform needs. | |
| You expect an EHR replacement from an analytics tool. | |
| Leadership will not act on care-gap lists. | |
| Legal blocks the required data path. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Scope & baseline | 2-4 weeks - Metrics, sources, contracts. |
| 2 | Configure | 6-14 weeks - Feeds, models, validations. |
| 3 | Pilot | 1-2 months - One cohort; outreach playbook. |
| 4 | Scale | 2-6 months - Add contracts; retire shadow files. |
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 actually 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.