Industries / Healthcare
We build HIPAA-compliant data pipelines, warehouses, and cloud infrastructure for multi-site hospital networks, clinical operations teams, and healthcare IT departments.
The problem
EHR systems, billing platforms, lab information systems, and scheduling tools were never designed to share data. Finance and clinical operations end up working from different numbers, reconciling spreadsheets instead of making decisions.
The weekly operational report takes days to produce manually. By the time it reaches leadership, the data is stale. Staffing decisions, supply chain orders, and quality metrics are all based on numbers that no longer reflect reality.
HIPAA compliance adds a layer of complexity that most general-purpose data engineering teams are not equipped for. PHI handling, audit logging, encryption at rest and in transit, and access controls are not optional.
Production ELT pipelines connecting Epic, Cerner, and other EHR systems via FHIR R4 APIs and legacy HL7 feeds into a unified data warehouse. Rate limit handling, schema drift detection, and PHI controls built in from day one.
AWS, GCP, or Azure environments built for compliance audits. Encryption at rest and in transit, CloudTrail logging across all regions, least-privilege IAM, VPC segmentation, and documented evidence for every control.
Unified data marts serving finance, clinical operations, and quality teams from the same source of truth. Dashboards that refresh in hours, not days. Self-service analytics your team can extend without engineering support.
Every engagement ends with your team running the system. Documented failure modes, incident playbooks, monitoring dashboards, and a 90-day support window so nothing breaks after we leave.
Case Study
Reporting lag reduced from four days to four hours. Finance and clinical operations running from the same source of truth for the first time.
Read case study →Case Study
Passed compliance audit three months after handover. 31 compliance gaps identified and remediated. Full Terraform handover to client IT team.
Read case study →Data Infrastructure
Cloud Engineering
Data Infrastructure
Data Infrastructure
A typical healthcare data infrastructure project includes EHR integration pipelines (connecting Epic, Cerner, or other systems via FHIR APIs and HL7 feeds), a HIPAA-compliant cloud data warehouse, a dbt transformation layer for clinical and financial reporting, and monitoring with runbooks for your team to operate independently. Engagements run 10 to 16 weeks and end with a full handover including 90 days of post-launch support.
HIPAA compliance is built into every layer: encryption at rest and in transit using customer-managed KMS keys, PHI scrubbing at the pipeline boundary before data touches logging or alerting, column-level security in the data warehouse, CloudTrail audit logging across all regions, least-privilege IAM roles per workload, and VPC segmentation isolating PHI storage. Every control produces audit evidence your compliance team can present to auditors.
Yes. We build pipelines using Epic FHIR R4 APIs, Cerner Millennium APIs, and legacy HL7v2 feeds. Most hospital networks run a mix of modern and legacy systems. Our pipelines normalise data from all sources into a common schema in the warehouse, so downstream reporting works the same regardless of the source system version.
In our experience, a well-scoped EHR data integration project at a multi-site hospital network produces a payback period of 12 to 18 months. The business case includes analyst time savings (typically 30 to 50 hours per week of manual reconciliation eliminated), faster operational decision cycles, audit risk reduction, and the organisational benefit of finance and clinical teams working from the same source of truth.