Healthcare organizations connect to an average of 16+ disparate systems — EHRs, billing, telehealth, labs, patient engagement platforms. Each speaks different protocols (HL7, FHIR, X12 EDI) with vendor-specific implementations. Manual workarounds fill the gaps.
The healthcare data ecosystem was never designed for interoperability. Three structural problems make integration harder here than in any other industry.
Healthcare systems communicate via HL7v2, FHIR R4, X12 EDI, and proprietary REST APIs. Even two systems both claiming "FHIR support" implement it differently. No horizontal iPaaS handles these protocols.
HIPAA, HITECH, and state-level privacy laws require BAAs, audit trails, and encryption for any system touching PHI. Generic automation platforms like Zapier cannot sign BAAs and are structurally incompatible with healthcare workflows.
Switching EHR vendors or adding a new telehealth platform means rebuilding integrations from scratch. Each connection is a custom, brittle point-to-point link maintained by scarce health IT staff.
A purpose-built integration platform that understands healthcare data, protocols, and compliance requirements.
Our seven-agent AI swarm built 318 live connectors — including Epic, Cerner, Athenahealth, Teladoc, LabCorp, and DrChrono. It analyzed endpoints, detected authentication methods, generated OpenAPI specs, mapped fields to a canonical health data model, and produced production-ready connectors in ~10 minutes each.
One API call handles auth application, schema translation, circuit breaking, and rate limiting across all connected systems. Your platform talks to OneHazel; we translate to each vendor's protocol and format.
Patient records, encounters, claims, lab results, prescriptions — normalized into a unified schema regardless of which system produced them. Swap vendors without rewriting your application.
Trigger automated actions when a lab result arrives, a claim status changes, or a patient misses an appointment. Chain operations across vendors — no custom code required.
318 live connectors across the full healthcare technology stack — including Epic, Cerner, Athenahealth, Teladoc, LabCorp, and DrChrono. New connectors built in ~10 minutes.
The difference between building healthcare integrations the old way and using an AI-powered integration layer.
Each vendor requires custom code for auth, endpoints, error handling, and data mapping.
API changes, deprecations, and version upgrades require continuous attention.
Different schemas per vendor means custom ETL pipelines and constant data wrangling.
Each connection is a brittle point-to-point link that breaks when vendors change.
Provide a URL to the vendor's API documentation. The seven-agent pipeline handles the rest.
Your code talks to OneHazel; we translate to each vendor's protocol and format.
All vendor data normalized to canonical schemas. One format for patients, claims, and results.
Canonical schema means your application never knows the difference.
OneHazel has 318 live connectors across the healthcare stack, live today. Our AI agent pipeline built each one in ~10 minutes, mapped to a canonical health data model, giving you one unified API for your entire stack.