A managed healthcare integration platform that normalizes EHR, HIE, claims, and FHIR data into reliable sub-hour clinical event streams.
Added Jun 6, 2026
Last signal 4w ago
Healthcare AI, care delivery, claims, and real-world data teams struggle to connect reliably across Epic, Cerner, Athenahealth, HIEs, claims systems, and third-party vendors. The work requires handling flaky EHR APIs?, HL7/FHIR/CCDA variability, clinical terminology mapping, webhooks, compliance, and high reliability targets that currently demand senior integration engineering teams.
Build a SaaS? integration layer with prebuilt connectors for major EHRs, HIEs, claims systems, and bulk export workflows. The platform would validate and normalize FHIR R4/R5, HL7v2, CCDA, claims, and terminology data, then deliver monitored real-time streams, webhooks, and data models with reliability SLAs? and compliance controls.
Healthcare companies are hiring senior engineers and product leaders specifically to solve real-time EHR, FHIR, claims, HIE, and TEFCA integration problems. AI healthcare workflows and value-based care models are increasing demand for fast, reliable clinical data pipelines.
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Showing 1-14 of 14 signals
Architect production-grade data pipelines that integrate clinical data through multiple channels—direct EHR connections (e.g., Epic, Cerner, Athenahealth), health information exchanges (HIEs), health alliance networks, and third-party integration vendors—via FHIR R4 APIs, HL7v2 feeds, CCDA documents, and bulk data exports, while enforcing healthcare standards and clinical terminologies (ICD-10, SNOMED CT, LOINC, RxNorm), targeting sub-hour latency from clinical event to actionable insight and ≥99.9% pipeline reliability
Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability.
Familiarity with healthcare data standards (HL7, FHIR) and EHR/claims integrations.
Experience working with EHR/EMR systems (Epic, Oracle Health, Meditech), health information exchanges, and TEFCA or QHIN data exchange workflows
Architect production-grade data pipelines that integrate clinical data through multiple channels—direct EHR connections (e.g., Epic, Cerner, Athenahealth), health information exchanges (HIEs), health alliance networks, and third-party integration vendors—via FHIR R4 APIs, HL7v2 feeds, CCDA documents, and bulk data exports, while enforcing healthcare standards and clinical terminologies (ICD-10, SNOMED CT, LOINC, RxNorm), targeting sub-hour latency from clinical event to actionable insight and ≥99.9% pipeline reliability
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