Population health & analytics · Analytics platform for value-based care
Ursa Health
Ursa Health is a Nashville, Tennessee, analytics company whose data model, no-code measure builder and Compass AI layer help ACOs and value-based care groups find and act on cost and quality opportunities.
Strong fit
- ACOs and risk-bearing provider groups that want to see and edit how every measure is built
- Value-based care companies whose analysts need claims, clinical and pharmacy data in one model
- Teams that want AI answers they can check against the underlying logic
Weak fit
- Practices that want a ready-made care management app for nurses
- Buyers without an analyst or data lead to own the platform
- Buyers who need a posted price
Bottom line
Ursa Health is a good choice for value-based care organizations that want an open analytics model their own analysts can inspect and change. Its no-code measure building and its Compass AI layer suit teams that distrust black-box metrics. Smaller groups without data staff, or buyers who mainly want care team workflows, should look at fuller population health suites.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Dr. Robin Clarke, Andrew Hackbarth and Steve Hackbarth founded Ursa Health in Nashville, Tennessee, after Clarke and Andrew Hackbarth spent years building the analytics behind UCLA Health's accountable care organization. Clarke, a primary care physician, is chief executive.
The base of the platform is the Ursa Data Model, which brings claims, clinical, pharmacy, eligibility and operational data into one documented structure. In Ursa Studio, analysts build and change measures without code, and every measure shows how it was defined, which filters apply and where the data came from.
Compass is the AI layer on top. It looks across a population for cost and quality patterns worth acting on, answers questions in plain language and shows the query behind each answer so analysts can check it. Ursa Solutions turns the findings into programs, such as heart failure medication titration, chronic kidney disease progression and end-of-life care.
Customers include Wellvana, HarmonyCares, agilon health and Atlas Oncology Partners, and Ursa supports ACO REACH participants with CMS claims data loading and reports.
Ursa is a small company and does not post prices or many outcome figures. Its strength is the open model, so buyers need analysts who will use it, and teams that want a finished care management app for nurses will need more.
Arcadia fits larger value-based care organizations that want one data platform for quality, cost and care gaps. Lightbeam Health Solutions fits provider groups that want patient lists, risk views and outreach tracking for care teams.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Ursa Health | 7.5 | 7.4 |
| Arcadia | 7.0 | 6.7 |
| Lightbeam Health Solutions | 6.8 | 6.5 |
Pricing
| Item | Detail |
|---|---|
| Model | Ursa Health sells its platform by annual subscription, with interventions and services priced by contract. |
| What usually drives cost | For Ursa Health, cost depends on covered lives, the number of data sources and contracts to integrate, and whether you add Compass or the intervention programs. |
| What to ask before you buy | Ask Ursa Health for a price per covered life, how long it takes to load your claims and clinical feeds, and what your analysts can change in the data model without its help. |
| Published pricing | Ursa Health does not publish a price list. |
Leadership
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.