Where we focus
Snowflake Implementation & Migration
Move legacy warehouses, on-prem systems, and point solutions onto Snowflake's Data Cloud, with cost and consumption management (FinOps) scoped as part of the build.
Interoperability Engineering
FHIR, HL7 v2, X12, and OMOP CDM pipelines that turn EHR, claims, and clearinghouse feeds into governed, query-ready Snowflake models.
Governance, Security & Compliance
HIPAA-aligned architecture from day one: PHI classification, dynamic masking, row-access policies, and audit-ready lineage using Snowflake Horizon.
Clinical & Claims Analytics
Clinical and claims data in one governed model: Patient 360, HEDIS and quality reporting, utilization and cost analytics, and population health dashboards.
Healthcare AI on Snowflake Cortex
Clinical NLP, predictive risk scoring, and generative AI features for patient and HCP-facing products, built on the same governed data layer.
Snowflake FinOps for Healthcare
Set up during the build, then run as a standing service as claims and imaging volumes grow: right-sizing, consumption monitoring, and cost governance.
Why choose Light-it as your Snowflake healthcare consulting partner
Healthcare depth
We work exclusively in healthcare and life sciences. That focus is why an implementation here starts with a PHI classification pass, and why the engineers on your build have already reconciled the same patient across an EHR feed and a claims file before.
Certified Engineers
The engineers staffed on your build hold SnowPro certifications and lead the work themselves, from the first architecture review to the last deployment.
Platform-honest advice
We are also platform-honest. We run a Databricks practice alongside this one, so when Snowflake is the right fit for your workload, we say so, and when it is not, we say that too.
How we work
Audit current data sources (EHR, claims, clearinghouse, internal systems), compliance requirements, and cost baseline. The output: a scoped architecture and timeline for your specific needs.
Data model, PHI classification, masking and access policies, defined before a single pipeline is built.
Pipelines, models, and dashboards shipped in scoped increments. Our engineers work inside your standups, and migrations run without taking clinical systems offline.
Ongoing FinOps, monitoring, and governance maintenance as data sources and volume grow.
Learn how we handle data in every step of the way:
Regulatory baseline
PHI classification and masking
Row-access and role-based policies
Lineage and audit readiness
Secure sharing as a compliance control, not just a convenience
Frequently Asked Questions
Learn everything about us and the way we work
- Snowflake for healthcare is the use of Snowflake's Data Cloud to store, govern, and analyze clinical, claims, and operational data in a single platform built for regulated environments. It supports HIPAA-aligned architectures through features like dynamic data masking, row-access policies, and secure data sharing, which let health systems, payers, and life sciences companies share governed data without copying PHI between environments. Common applications include unifying EHR and claims data into a Patient 360 view, running HEDIS and quality reporting, and powering AI/ML models on governed clinical data.
- It depends on the workload. Snowflake tends to win when governed sharing, BI, and SQL-first analytics are the priority; Databricks tends to win for heavy ML/data-science pipelines. We run both practices and will tell you which one fits before you sign anything.
Yes, under a signed BAA, with PHI classification, masking, and row-access policies built into the architecture from the first data model, not added after a compliance review flags a gap. See Section 6.
We work directly with Epic's Clarity and Caboodle databases, landing them into governed Snowflake models rather than treating the EHR as an unreachable black box.
Most clients keep architectural ownership and bring us in as an embedded pod inside their existing stack and standups, for the healthcare-specific work (HL7, FHIR, OMOP, compliance) that would otherwise take months to hire for.
It depends on your source systems. We give a specific number after the assessment.
AI Strategy & Implementation
What is Snowflake for healthcare?
- Snowflake for healthcare is the use of Snowflake's Data Cloud to store, govern, and analyze clinical, claims, and operational data in a single platform built for regulated environments. It supports HIPAA-aligned architectures through features like dynamic data masking, row-access policies, and secure data sharing, which let health systems, payers, and life sciences companies share governed data without copying PHI between environments. Common applications include unifying EHR and claims data into a Patient 360 view, running HEDIS and quality reporting, and powering AI/ML models on governed clinical data.
Is Snowflake the right platform for a healthcare data team, or should we look at Databricks?
- It depends on the workload. Snowflake tends to win when governed sharing, BI, and SQL-first analytics are the priority; Databricks tends to win for heavy ML/data-science pipelines. We run both practices and will tell you which one fits before you sign anything. (Link to Databricks healthcare page.)
Can Snowflake actually handle PHI and HIPAA compliance?
- Yes, under a signed BAA, with PHI classification, masking, and row-access policies built into the architecture from the first data model, not added after a compliance review flags a gap. See Section 6.
How do you handle Epic data specifically?
- We work directly with Epic's Clarity and Caboodle databases, landing them into governed Snowflake models rather than treating the EHR as an unreachable black box.
We already have an in-house engineering team. Why bring in a partner?
- Most clients keep architectural ownership and bring us in as an embedded pod inside their existing stack and standups, for the healthcare-specific work (HL7, FHIR, OMOP, compliance) that would otherwise take months to hire for.
How long does a Snowflake healthcare implementation take?
- It depends on your source systems. We give a specific number after the assessment.
