Clinical Data Conversion & Legacy Data Archive
What converts, what archives, what sunsets — with validation that catches the errors clinicians would otherwise find.
Clinical data conversion is one of the most consequential workstreams in any Epic implementation, acquisition, or system consolidation. Get it right and clinicians walk into go-live day with the history they need to care for patients. Get it wrong and you spend the next three years reconciling gaps, fighting audit findings, and apologizing to users.
The work we do
- Data conversion strategy and scope definition: what converts, what archives, what sunsets
- Source system discovery and analysis across EHRs, departmental systems, document repositories, and interface engines
- Mapping design between legacy data structures and Epic's data model, with clinical informatics alignment
- Conversion development coordination, ETL workstream management, vendor oversight
- Validation strategy: record counts, clinical content integrity, discrete data accuracy, workflow-relevant completeness
- Legacy archive design: read-only access for clinicians, retention compliance, integration with current EHR for context
- Go-live support, post-live reconciliation, and long-tail data cleanup planning
How we run the engagement
Clinical data conversion is one of the riskiest and most visible workstreams in any Epic project. A phased structure with clear gates is what keeps it on track. Here is how we run it end-to-end.
Strategy & Scope Definition
Source system discovery across EHRs, departmental systems, document repositories, and interface engines. Scoping decisions on what converts, what archives, and what sunsets. Clinical informatics, legal, and compliance alignment on retention and access.
Mapping & Conversion Development
Mapping design between legacy data structures and Epic's data model. Conversion and ETL development coordination. Vendor oversight where conversion tooling is partner-built. Legacy archive design for read-only clinician access and retention compliance.
Validation & Mock Conversions
Multiple mock conversion cycles. Validation against record counts, clinical content integrity, discrete data accuracy, and workflow-relevant completeness. Clinician review of converted data in context to catch errors that only show up at the point of care.
Clinician & Operational Readiness
Training on how converted data appears in the workflow and how to access the legacy archive when historical context is needed. Coordination with the broader Epic training effort so conversion nuances are reflected in training materials.
Final Conversion & Cutover
Final conversion run against the cutover plan. Command-center support with conversion-specific triage. Clear escalation paths for data-related clinical issues. Real-time status on conversion completeness and any gaps requiring workaround.
Reconciliation & Support Transition
Post-live reconciliation, long-tail data cleanup planning, and handoff to internal support. Documented conversion records for audit defensibility. Clear ownership model for the legacy archive going forward.
Communication, Reporting & Team Collaboration
Running across every phase: executive-grade status reporting, disciplined meeting cadences, and transparent issue and risk tracking. Active collaboration between our PMs, the implementation PMO, informaticists, clinical leadership, and conversion vendors — so the right decisions get made at the right time and the project never drifts quietly off track.
Why legacy archive matters more than most organizations realize
The temptation in any conversion is to convert everything — as if the old system can simply disappear once the new one is live. It doesn't work that way. Retention obligations outlive systems. Old encounters remain medically and legally relevant for years. Some data isn't worth the cost and risk of converting, but has to remain accessible.
A well-designed legacy archive solves for all of that. Clinicians get read-only access to historical records when they need them. Legal and compliance get a defensible retention solution. IT gets out from under the cost of maintaining a retired production system. And the active EHR stays clean, fast, and current.
Where this comes up
Epic go-lives. Hospital mergers and acquisitions where two EHRs have to consolidate. Divestitures where data has to split along facility lines. Legacy system retirements where the clinical need for access outlives the contract. System consolidations where multiple specialty EHRs are being rolled up into an enterprise platform.
How engagements typically start
We usually begin with a conversion and archive strategy phase: source inventory, scoping decisions, mapping framework, retention model, risk register. The output is a plan that clinical leadership, legal, and IT can all sign off on — with clear boundaries around what's in scope, what's out of scope, and what gets escalated for a decision.
Need experienced hands on clinical data conversion?
Whether you're in the middle of an Epic build, planning an acquisition, or wrestling with a stalled conversion, we can help.