Clinical systems · FHIR interoperability for health plans
1upHealth
1upHealth is FHIR interoperability software for health plans that runs the patient access, payer-to-payer, provider access, and prior authorization APIs CMS rules require.
Strong fit
- Health plans and Medicaid agencies working toward the CMS interoperability and prior authorization rule (CMS-0057-F)
- Payers that need patient access, provider access, and payer-to-payer FHIR APIs from one vendor
- Plans that want continuous clinical data for HEDIS and Star ratings work
Weak fit
- Provider groups that want a records network for their own clinicians
- Small practices that need fax and Direct messaging
- Buyers who want an analytics-first population health platform
Bottom line
1upHealth is a Boston company that sells FHIR data software to health plans. Plans use it to run the patient access, provider access, payer-to-payer, and electronic prior authorization APIs that federal CMS rules require, and to bring clinical data into quality programs. It fits payers whose main job is meeting those rules on time.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
1upHealth was founded in 2017 in Boston. Andrew Boyd, a former executive at Virgin Pulse (now Personify Health), became chief executive in October 2024. Its products include 1up Patient Access, Provider Access, Payer-to-Payer Data Exchange, Provider Directory, Formulary, Electronic Prior Authorization, and Clinical Connect, which sends continuous clinical data to plans for HEDIS and Star ratings work.
In the October 2024 announcement, the company said more than 80 healthcare organizations use its platform. The main buyer is a health plan that needs the CMS interoperability and prior authorization APIs on a deadline.
Compare Health Gorilla when a plan also needs QHIN access, and Kno2 when the work is connecting providers and post-acute facilities.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Particle Health | 7.4 | 7.0 |
| Kno2 | 7.3 | 7.3 |
| Zus Health | 7.2 | 7.0 |
| Metriport | 7.2 | 7.2 |
| Redox | 7.1 | 6.8 |
| Health Gorilla | 6.9 | 6.8 |
| 1upHealth | 6.7 | 6.5 |
Pricing
| Item | Detail |
|---|---|
| Model | Enterprise subscription for health plans, usually scoped by covered lives and the APIs and modules required. |
| What usually drives cost | Covered lives, number of CMS-required APIs, prior authorization scope, and clinical data feeds added. |
| What to ask in diligence | Annual price at your covered lives, implementation fees for each API, and what support costs after go-live. |
| Published pricing | No public list price. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get 1upHealth to function | |
| CMS deadline plan | The rule dates drive scope. |
| Claims and clinical data sources mapped | APIs only return what is loaded. |
| Provider directory data cleaned | Bad directory data fails the API. |
| Prior authorization rules digitized | Electronic prior auth needs coded rules. |
| Compliance owner at the plan | Someone has to sign off on each API. |
| What will maximize your value | |
| Load clinical data alongside claims | Quality teams get more from the same build. |
| Test payer-to-payer exchange with real partners | Compliant APIs can still fail to exchange data. |
| Track API usage after go-live | Shows whether members and providers use it. |
| Deal-breakers | |
| Provider-side buyer | |
| No data owner at the plan | |
| Needs analytics-first platform | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Data mapping and loading | 6-10 weeks |
| 2 | API build and testing | 8-12 weeks |
| 3 | Go-live and attestation | 4-6 weeks |
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.