Clarity in a Complex Healthcare Landscape
Illuminate Health is a forward-deployed healthcare data engineering and analytics partner. We help teams turn fragmented claims, clinical, and operational data into a reconciled source of truth and trusted, auditable analytics. All built securely in your environment on Microsoft Fabric, Snowflake, BigQuery, or Databricks.
- Senior-only team
- Trusted, auditable analytics
- PHI stays in your cloud
- No vendor lock-in
Built for Trust
Senior-Only Team
You work directly with experienced partners. Fast ramp, fewer handoffs, and delivery quality you can see from day one.
Trust by Design
Auditable analytics with clear definitions, lineage, and reconciliation so stakeholders trust the numbers and act on them.
Security by Default
We bring our code to your data. Work runs inside your environment with least-privilege access so PHI stays in your systems. Standard BAAs available.
Platform-Native, No Lock-In
We build on Microsoft Fabric, Snowflake, BigQuery, and Databricks using standard tooling so you own what we deliver and can extend it.
Healthcare Domain Expertise
Built by people who’ve worked in healthcare. We align engineering to real decisions in value-based care, population health, risk adjustment, and quality programs.
What We Do
Custom data platforms, analytics enablement, and in-warehouse data products built to be secure, transparent, and adopted.
Custom Data Platform Builds
Design and implementation of modern healthcare data platforms that unify claims, clinical, and operational data into a reconciled source of truth. We build clean pipelines, models, and analytics ready marts so teams can move faster with confidence.
Analytics Enablement & Metric Contracts
Define the metrics that matter, document lineage, and reconcile results back to source systems. We build semantic layers, quality checks, and KPI definitions so stakeholders trust the numbers and can act on them.
In-Warehouse Data Products
Deployable accelerators that run where your data lives with no external SaaS required. From patient matching to benchmarking and data quality, we deliver transparent, warehouse-native products you can own and extend.
Our URL Method for Trusted Healthcare Data
Modern platforms don’t matter if people don’t trust the numbers. Our URL method keeps analytics transparent and actionable at every step: Universe, Reconcile, and Look.
Universe of Data
Every insight depends on the data you’re actually looking at. We define the scope up front: what sources are included, what isn’t, and what questions the analysis can (and cannot) answer.
For example: claims data is great for cost and utilization, but it won’t answer questions about labs unless those clinical feeds are intentionally included.
Reconcile Your Data
After ETL and transformations, we don’t just hope the numbers are right. We prove it. We reconcile key measures back to legacy systems and source-of-truth reports.
We compare counts, dollars, and other critical metrics so teams can see that “before” and “after” totals match expectations. That reconciliation is what builds trust in a new platform.
Look at the Data
Analyst review is where results get validated. We sanity check outputs, investigate outliers, and pressure-test measures against what’s typical for similar populations.
Automated checks catch structure issues, but human eyes find what rules miss so stakeholders trust what the data is saying.
Together, the Universe–Reconcile–Look approach ensures the solutions we deliver are not only powerful, but also trusted by the people who use them.
In-Warehouse Data Products
Deployable accelerators that run directly in your data warehouse. No external SaaS required and no data leaving your environment.
In-Warehouse EMPI / Patient Matching
Enterprise Master Patient Index (EMPI) logic implemented as SQL, Python, and warehouse-native compute. Designed for Microsoft Fabric, Snowflake, Databricks, and BigQuery.
- No PHI leaves your cloud environment
- Transparent matching rules and tunable thresholds
- Batch and incremental processing options
Benchmarking & Risk Model Pipelines
Benchmarking and risk model pipelines that generate expected values at the member level for cost, utilization, and quality delivered as warehouse-native workflows.
- Member-level expected values for actionable variance analysis
- Configurable to your populations and benefit designs
- Runs directly where your data already lives
Runtime Data Quality Checks
Warehouse-native checks at both the atomic table and analytic mart levels, designed to surface issues before stakeholders see the data.
- Compare volumes and distributions against priors or the last refresh
- Flag anomalies and reconcile key metrics before publishing
- Transparent rules and thresholds you can tune over time
Small Team. Big Impact.
Illuminate Health is a boutique healthcare data engineering and analytics partner for organizations working in value-based care and population health. Our senior-only team brings 20+ years of combined experience across consulting, health tech/software/product, and provider organizations. We build modern, secure, platform-native data platforms and in-warehouse data products inside your environment so outputs reconcile, are transparent, and earn stakeholder adoption.
As a small team, we embed with yours to define the data universe, reconcile results back to source systems, and pressure-test measures in the context of real workflows so the work holds up in contract and performance conversations.
Our default approach is Universe → Reconcile → Look (URL): define scope, prove the numbers, then validate results with human judgment.
Tom Sherwood
Partner
Analytics product development in value-based care
Brad Montierth
Partner
Healthcare data architecture & engineering
“Your platform. Your cloud. Full transparency from ingestion to insight.”
Ready to Illuminate Your Data?
Talk to an expert about your current platform, trust issues, and priorities. We can schedule a consultation or start with a quick data platform assessment.
Security by Architecture
We bring the code to your data, not your data to our code. By operating entirely within your existing cloud environment (Snowflake, Fabric, Databricks, or BigQuery), we do not move PHI to our own infrastructure.
We act as an extension of your team, utilizing your IAM policies, audit logs, and security controls.