Healthcare data engineering that builds the HIPAA-compliant data infrastructure powering clinical analytics, population health, and AI — EHR data extraction (Epic, Cerner, Meditech via HL7 FHIR), claims data pipelines, clinical data warehouse design, and the data quality frameworks that ensure clinical data accuracy.
Healthcare data engineering faces challenges no other industry shares: EHR systems that resist data extraction (proprietary formats, limited APIs until FHIR), clinical data standards (HL7 v2, FHIR R4, USCDI, ICD-10, CPT, SNOMED CT) that require specialized mapping, HIPAA compliance on every data flow, and the data quality requirements where an incorrect lab result isn't just a data quality issue — it's a patient safety issue.
Healthcare data engineering requires: EHR integration expertise (Epic Clarity/Caboodle, Cerner HealtheDataLab, FHIR R4 APIs), clinical terminology mapping (ICD-10, CPT, SNOMED, RxNorm), HIPAA-compliant infrastructure (encryption, access controls, audit trails, BAAs), and the data quality frameworks appropriate for clinical data where accuracy is a safety requirement.
Specific applications of Data Engineering in healthcare settings.
Building a clinical data lake that integrates EHR data (Epic, Cerner), claims data, lab results, and patient-reported outcomes into a unified analytical platform — Fabric or Databricks with HIPAA-compliant architecture.
Deliverable: Clinical data lake + EHR pipelines + FHIR integration + governance
Star schema design for healthcare analytics — encounter, diagnosis, procedure, medication, and lab fact tables with patient, provider, and facility dimensions. HEDIS and CMS quality measure calculation logic built into the model.
Deliverable: Clinical warehouse schema + ETL pipelines + quality measure views
HL7 FHIR data exchange with payers, HIEs, and partner organizations — real-time ADT feeds, clinical document exchange (CCDA), and the 21st Century Cures Act compliance that requires patient data access.
Deliverable: FHIR integration engine + API gateway + compliance documentation
Claims data from multiple payers (837/835, ERA/EOB) integrated with clinical data for cost-quality analysis, contract performance tracking, and value-based care analytics.
Deliverable: Claims pipeline + payer data integration + cost-quality linkage
HIPAA-compliant data infrastructure: EHR data extraction pipelines, clinical data warehouse, FHIR integration, data quality framework, PHI encryption and access controls, and BAA documentation for all cloud services.
Full Data Engineering consulting.
All healthcare technology services.
22 industry verticals.
Healthcare data engineering must account for HIPAA privacy/security requirements, EHR integration (HL7 FHIR, USCDI), clinical workflow sensitivity, and the regulatory frameworks (CMS, Joint Commission) that govern healthcare data usage. Every implementation includes HIPAA compliance by design.
All our healthcare implementations are HIPAA-compliant by design. BAAs (Business Associate Agreements) with all cloud providers. PHI encryption at rest and in transit. Access controls with audit trails. Regular security assessments aligned with HIPAA Security Rule.
Yes. Pre-qualified specialists with healthcare domain experience from 200+ delivery partners. 4-stage consulting-led matching. 92% first-match acceptance. Understanding of HIPAA, EHR integration, and clinical workflows.
Healthcare data engineering — EHR integration, clinical data warehouses, FHIR pipelines, and HIPAA-compliant data infrastructure.