OUR SERVICES

EHR Migration &
Clinical Platform
Integration

Move patient data between systems accurately, securely, and without disrupting care delivery.

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UNDERSTANDING THE CONTEXT

The impact of EHR Migrations

EHR migrations are among the most complex data projects 
in healthcare. They combine sensitive patient data, regulatory 
requirements, clinical semantics, and operational risk.

Light-it helps digital health companies and provider
 organizations migrate EHR data and build clinical integrations 
with auditability, HIPAA alignment, and clinical continuity 
built in from day one.

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Where we apply these solutions

From early-stage digital health startups to established health systems, our solutions are built to fit the complexity of your environment.

EHR Data Migration

e help healthcare organizations move patient data between EHR platforms while preserving clinical meaning, referential integrity, and compliance.

Our migrations go beyond data transfer. We analyze source systems, define semantic mappings, transform data to fit the target model, validate results against operational metrics, and support post-migration stabilization.

Clinical Platform Integrations

Healthcare platforms don't operate in isolation. An EHR connects to, and depends on, a surrounding ecosystem of clinical and operational tools.

We design and build integrations that allow EHRs to exchange data reliably with adjacent systems, following interoperability standards where applicable and building custom connectors where needed.

Legacy System Decommissioning & Data Preservation

Many organizations need to shut down legacy EHR systems but can't lose the data they contain for regulatory, legal, or clinical continuity reasons.

We extract, transform, and archive legacy data into accessible, compliant formats that support ongoing needs without maintaining expensive legacy infrastructure. This often includes building lightweight read-only access layers or migrating historical data into the new primary system with appropriate flagging and segregation.

Data Quality, Validation & Reconciliation

Data quality isn't a final step. It's embedded throughout the migration and integration process.

Our validation work includes record count and field-level completeness checks, cross-entity referential integrity validation, reconciliation against known operational metrics, automated regression testing for downstream compatibility, and duplicate detection and MPI cleanup.

This is also available as a standalone engagement for organizations that need to assess data quality before committing to a migration.

Post-Migration Support & Stabilization

Migrations don't end at cutover. The 30–90 days after go-live are critical.

We provide structured post-migration support to monitor data accuracy in production, identify and remediate edge cases, validate that downstream systems are functioning correctly, and document the migration for audit and compliance purposes.

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The hard questions don't go away on their own.

Let's answer them early, before they cost you budget, time, or momentum.

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THE APPROACH

How we approach
EHR migrations

1. Discovery and data assessment
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We analyze the source EHR's data model, export capabilities, and constraints — identifying gaps and inconsistencies, while mapping all connected systems. Overlooking third-party integrations is one of the most common causes of post-migration disruption: duplicated records, broken workflows, and costly post-go-live fixes.
DELIVERABLES: Data inventory, system dependency map, gap analysis, risk assessment, migration scope document.
2. Mapping and semantic alignment
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EHR migrations seldom follow a one-to-one mapping. We define explicit mappings between source and target systems, including the transformations required to preserve clinical meaning. When FHIR is involved, we align data to the appropriate resources while accounting for real-world deviations.
DELIVERABLES: Field-level mapping documents, transformation rules, semantic alignment decisions log, integration interface specifications.
3. Data quality and validation framework
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We implement validation rules to ensure completeness, consistency, and referential integrity. This includes record counts, field-level checks, cross-entity validation, and reconciliation against operational metrics.
DELIVERABLES: Validation rule set, automated test suite, quality gate criteria.
4. Secure migration and integration execution
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Migrations run through secure, auditable pipelines supporting phased, big-bang, or incremental approaches, with patient demographics always first. Every clinical record depends on accurate patient linkage. Temporary cloud infrastructure is fully decommissioned after completion.
DELIVERABLES: Migration pipelines, integration services, execution logs, audit trails.
5. Post-migration verification and support
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We validate outcomes with clinical and operational stakeholders, confirm downstream systems are functioning correctly, and support remediation of edge cases discovered after go-live.
DELIVERABLES: Verification report, issue log,
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Compliance & 
security by design

Data lineage and traceability 
are treated as first-class requirements, 
not optional extras.

All migration and integration work operates under strict security and compliance 
assumptions:

PHI and PII handled with least-privilege access and encryption at rest and in transit
HIPAA alignment — technical safeguards, administrative controls, BAA compliance
Comprehensive audit logs for every transformation, validation, and migration action
Clinical, operational, and compliance stakeholder sign-off at each phase gate
Full data lineage and traceability from source to target for every record
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CAPABILITY BREAKDOWN

EHR and clinical platforms
we work with

Capability

Enterprise EHRs

Mid-market / Digital Health EHRs

RCM & Billing

Interoperability Standards

Adjacent Systems

Platforms

Epic, Cerner (Oracle Health), Athena, eClinicalWorks, PointClickCare

Healthie, Canvas, Medlum

Candid Health

FHIR, HL7, CCD, SMART on FHIR

Stripe, Salesforce, Intercom, lab systems, patient portals, custom APIs

Frequently Asked
Questions

Learn everything about us and the way we work

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How long does an EHR migration take?

EHR migration timelines depend on data volume, source system complexity, and the number of connected integrations. Most mid-market EHR migrations run 8–20 weeks from discovery to post-migration stabilization. Projects involving legacy decommissioning, multi-site consolidation, or complex integration dependencies typically run longer. Discovery is where scope and timeline get defined.

What data gets migrated vs. archived?

Active data needed for immediate care, billing, and compliance migrates to the production EHR. Legacy historical data that isn't operationally active gets offloaded to a secure, searchable archive. This distinction — between active migration and archival preservation — is defined during the Discovery phase based on clinical and operational requirements.

How do you handle HIPAA compliance during a migration?

All migration and integration work operates with least-privilege access, encryption at rest and in transit, comprehensive audit logging, and full data lineage from source to target. Migration workloads run in isolated cloud environments and temporary processing infrastructure is fully decommissioned after migration. We operate under BAA and align to HIPAA technical and administrative safeguards throughout.

What EHR platforms do you work with?

Yes. Clinical platform integrations are a core part of our offering — as a standalone engagement or as part of a migration project. We've built integrations between EHRs and RCM platforms, billing systems, patient engagement tools, analytics platforms, and custom internal systems.

What happens if issues are discovered after go-live?

The 30–90 days after go-live are where edge cases surface. We provide structured post-migration support to monitor data accuracy, identify and remediate issues, and validate downstream systems. The migration isn't complete until production is stable.

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