Healthcare Data Infrastructure That Makes Your Data Usable
Data pipelines, warehouses, and analytics platforms — built so your teams can make decisions on accurate, current data.
Overview
Healthcare Data Exists. The Problem Is Getting It to Work Together
Most healthcare organizations are sitting on enormous amounts of data — in their EHR, their billing system, their payer feeds, their devices. The problem is that it lives in silos, arrives in incompatible formats, and requires manual effort to turn into anything actionable.
Vervelo builds the data engineering foundation that connects these sources — pipelines that normalize and route data, warehouses that make it queryable, and analytics layers that surface the metrics your teams actually need.
FHIR
Native Models
Data platforms built on FHIR R4 standards for interoperability with EHRs, payers, and partner systems.
HIPAA
By Default
PHI handling, access controls, and audit logging designed into every pipeline and data store.
Real
Time or Batch
Streaming pipelines for live data or scheduled batch jobs — architected for your latency requirements.
Data
Quality Built In
Validation, lineage tracking, and alerting so data issues surface before they reach your analysts.
Core Capabilities
What Data Engineering & Analytics Covers at Vervelo
Data Pipeline Development
Design and build reliable ETL and ELT pipelines that ingest data from EHRs, payer systems, devices, and operational platforms — transforming it into clean, structured datasets your teams can actually use.
Healthcare Data Warehouse Design
Architect a centralized data warehouse or lakehouse built around healthcare data models — patient records, claims, clinical events, and operational metrics — with the structure needed for consistent reporting and analytics.
FHIR Data Platform Development
Build FHIR-native data platforms that normalize clinical data from disparate sources into a standard model, enabling population health analytics, quality measurement, and interoperability reporting.
BI and Reporting Dashboards
Develop operational and executive dashboards that surface the metrics your clinical, financial, and operational teams need — built on clean data pipelines so the numbers are always current and trustworthy.
Population Health Analytics
Build analytics infrastructure for risk stratification, care gap identification, quality measure tracking, and outcomes reporting across your patient population — using data already flowing through your systems.
Data Quality and Governance
Implement data quality checks, lineage tracking, and governance frameworks that keep your data accurate and auditable — so analysts trust what they're looking at and compliance teams can verify what they need.
Use Cases
Common Data Problems We Solve
Clinical and Quality Reporting
Build the data infrastructure behind HEDIS, Stars, and quality measure reporting — normalizing clinical data from your EHR and payer feeds into a consistent model your analytics team can query reliably.
Revenue Cycle Analytics
Aggregate claims, remittance, denial, and billing data into a unified analytics layer — so your RCM team can track collection rates, identify denial patterns, and prioritize work queues without exporting spreadsheets.
Operational Dashboards
Surface scheduling, capacity, staffing, and workflow metrics in real-time dashboards that operations and clinical leadership can use to run the business — not just review it after the fact.
Population Health Infrastructure
Build the data foundation for care management programs — risk scores, care gap tracking, chronic condition registries, and outreach prioritization — on top of data already flowing through your systems.
How We Work
From Raw Source Data to Reliable Analytics
Data platforms that don't get used are a common failure mode. We build incrementally — delivering working, queryable data at each milestone — so your team can validate the output and we can course-correct before the full platform is in place.
Audit and model
We map your current data sources, schemas, and flows — identifying gaps, quality issues, and the highest-value datasets to prioritize. The output is a data model and architecture plan before any build begins.
Build and validate
Pipelines, warehouse layers, and dashboards are built in structured increments with data validation at each stage. You get working, queryable data at every milestone — not a big reveal at the end.
Operationalize and hand off
We deploy monitoring, alerting, and documentation so your data platform runs reliably without constant intervention. Handoff includes training for your analytics team and runbooks for ongoing operations.
Expected Outcomes
What You Get from Data Engineering Done Right
A reliable data foundation your analysts can query without questioning the numbers
Pipelines that handle source system changes without manual intervention
Dashboards that reflect current operational reality — not last week's export
A data platform your team owns, extends, and scales without starting over
Build Your Data Platform
Sitting on healthcare data that isn't driving decisions yet?
We can audit your data landscape, design the pipeline architecture, and build the analytics infrastructure that turns your existing data into something your teams can act on.
Vervelo is a digital-health software partner blending deep clinical insight with world-class engineering to build tailored, secure, interoperable healthcare platforms.
Benefits of custom software solutions
-
You fully own IT consulting and software delivered
-
You get a highly personalized solution
-
Customize and integrate seamlessly
-
On-demand scalability is always possible
