"Which integration platform should we use?" is one of the most consequential early decisions in a healthcare build, and one of the most under-analyzed. Teams pick based on a sales demo or a logo they recognize, then discover six months in that the platform is optimized for a use case that isn't theirs.
Redox, Health Gorilla, and 1upHealth come up most often. They are not competitors in the simple sense — they're optimized for three different problems. Here's the honest comparison.
What each one actually is
Redox is integration-as-a-service: a single API and a managed engine that connects your app to provider EHRs (Epic, Cerner, Meditech, etc.). Health Gorilla is a clinical data network — a query layer into national health information networks (it's a QHIN under TEFCA) plus labs. 1upHealth is a FHIR-native data platform built around patient access, payer interoperability (CMS rules), and bulk FHIR.
Said in one line each: Redox connects you to a hospital's EHR. Health Gorilla finds a patient's records across the country. 1upHealth gives you and your patients clean FHIR data at scale.
Redox: point-to-point integration, managed
Strength: if your job is "my app needs to read and write data in my customers' EHRs," Redox removes most of the per-site integration pain. One model, one connection process, a network of EHR connections already established.
- Best for: digital health vendors selling into hospitals and clinics that run major EHRs
- Model: data flows between your app and a specific provider's EHR you're integrating with
- Watch for: cost scales with connections and volume; you still depend on each health system enabling the integration
Health Gorilla: the national clinical network
Strength: query for a patient's records across participating networks without a point-to-point integration to each source. As a QHIN, it's positioned for TEFCA-based exchange. Strong on labs and on aggregating a longitudinal record.
- Best for: care coordination, risk adjustment, longitudinal patient history, lab ordering/results
- Model: you query the network for data on a patient, subject to purpose-of-use and consent rules
- Watch for: coverage and data completeness vary by region and source; treaty-of-use/permitted-purpose constraints shape what you can do with the data
1upHealth: FHIR-native data at scale
Strength: if you need clean, normalized FHIR R4 — for patient access apps, CMS payer-interoperability compliance, or analytics over bulk data — 1upHealth is built for that natively rather than bolting FHIR onto a different core.
- Best for: payers meeting CMS interoperability rules, patient-access apps, FHIR-based analytics and data warehousing
- Model: ingest, normalize, and serve FHIR; bulk export ($export) for population-scale data
- Watch for: it's a data platform, not a turnkey EHR write-back tool — match it to data-access use cases
How to choose, by use case
- Selling an app into hospitals that needs to live in their EHR workflow → Redox
- Assembling a longitudinal record or doing care coordination across providers → Health Gorilla
- Meeting CMS payer rules, building patient access, or doing FHIR analytics at scale → 1upHealth
- More than one of the above → expect to use more than one. They compose; they don't substitute.
What none of them solve for you
A platform moves data; it doesn't design your data model, reconcile conflicting records, handle patient matching edge cases, or own your compliance. The integration platform is maybe 40% of an interoperability project. The other 60% — mapping, normalization, error handling, conformance testing, and the workflow around the data — is yours regardless of vendor.
Migration and lock-in
All three are abstractions over standards (HL7v2, C-CDA, FHIR). The more you build against a vendor's proprietary conveniences instead of the underlying FHIR resources, the harder you're locked in. We design the internal data layer against standard FHIR and treat the platform as a swappable adapter. It costs a little more up front and saves a migration later.
A short decision checklist
- Write the exact data flow as one sentence: who needs what data, from where, to do what?
- Is the source a specific provider's EHR (Redox), a national network (Health Gorilla), or normalized FHIR at scale (1upHealth)?
- Will volume and connection count make the pricing model painful at 3× your current scale?
- Are you building against standard FHIR resources, or against vendor conveniences you can't port?
If you want a second opinion against your specific use case, that's a good first thing to put in front of us — we've shipped 60+ healthcare integrations across all three and the standards underneath them.