Never Lose Access to Legacy Data
Cloud-native archiver that keeps historical healthcare data accessible forever
Intely provides a HIPAA-compliant, cloud-native archive for healthcare systems, VBC/MSO organizations, and provider groups that need to store and access historical data from decommissioned systems.
Who Archiving is For
Consolidate & Archive All Historical Data
Preserve clinical, financial, and operational records from any legacy EHR, PM, or ERP system in one secure archive. All data stays structured, queryable, and ready for downstream use.
Search, View, and Access Records Seamlessly
Quickly search, filter, and export historical records across all domains. Clinicians can also access archived data directly within their active EMR via SMART on FHIR, with full patient context preserved.
Meet Compliance, Audits, & Legal Requirements
Support audits, legal requests, quality programs, and regulatory reporting with secure, fully traceable access to historical records.
Power Analytics & Maintain Organizational Separation
Route archived data into analytics platforms or workflows, and use Sub-Orgs to keep facilities, practices, or clients cleanly separated within one unified archive environment.
Common Use Cases
Outcomes & Benefits
Immediate Cost Savings
Retire outdated systems and eliminate the overhead of maintaining legacy infrastructure.
Improved Compliance
Structured data, auditability, and controlled access simplify responses to regulatory and legal requirements.
Clinician-Friendly Access
Clinicians can open archived records inside their active EMR through SMART on FHIR context sharing, preserving patient context with no workflow disruption.
Centralized Visibility
All archived datasets are unified in one place, enabling reporting, operations, and data governance across the organization.
Cloud-Native Scalability
Support long-term retention, analytics workloads, and future AI use cases without capacity limitations.
Accelerate Data Migration
Streamline transitions during EHR conversions by safely offloading historical data and reducing go-live complexity.
Delivery Models
Frequently Asked Questions
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