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Healthcare Data & EHR · Epic & Oracle Health · Migration Readiness

Perspectives


Epic and Oracle Health implementations rarely fail in the software. They fail in the operational layer underneath it: the fields, reports, code sets, and workflows nobody documented before the vendor conversation started. These are written from inside that work, not above it.

The Series
Healthcare Data & EHR

Your EHR Migration Will Fail in the Data Layer

Epic and Oracle Health implementations are famous for blowing their budgets. The software is almost never the reason. The records you're migrating were never audited, never structured, and never ready, and you find out after the contract is signed and the timeline is fixed.

"The software almost always works. It's the data you're feeding it that doesn't."

The data problems don't surface when you have leverage. They surface during mapping and validation, after the price is set. The organizations that treat the data as the project, and audit it before they sign, are the ones whose migrations come in near the number they were promised.

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Healthcare Data & EHR

What Epic and Oracle Actually Need From You

Before a conversation with Epic or Oracle Health is productive, there is a specific set of things they need to know about your data, and most organizations walk in unable to answer any of them. The vendor scopes the project from what you tell them, and your description is usually optimistic.

"Readiness is not a document. It's the difference between negotiating from facts and negotiating from hope."

Identity, structure, code sets, interfaces, scope. Five things, all knowable before you walk in. Answered up front in an advisory sprint, the work is bounded. Discovered during a live implementation, the same questions get answered by the most expensive people on the project, under deadline, as change orders.

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Healthcare Data & EHR

Spec-to-Spec: The Only Honest Way to Migrate Clinical Data

There is a phrase that should end the conversation the moment it comes up in a healthcare data project: lift and shift. Bulk-copying clinical records into a new EHR without mapping, transforming, and validating each field is not a migration strategy. At clinical stakes, it is closer to malpractice.

"You don't trust a migration you can't prove. Validation isn't the last step. It's the product."

Every field gets four things before it moves: a mapping, a transformation rule, a validation rule, and an owner. Nothing crosses unexamined. It is more work than lift and shift. It is the only version that produces a record you can stand behind when a clinician opens it.

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Where the Work Starts

Three engagements, laddered.

Each engagement is fixed-fee and scoped to a named outcome before work begins.

Engagement
Scope
Timeline
Operational Data, Reporting & Process Mapping
ScopeAn honest audit of the data, reports, and workflows you are about to migrate, before the contract is signed.
Timeline3–4 weeks
Implementation Translation & Vendor Facilitation
ScopeYour operation described in the terms Epic and Oracle Health actually scope from, with us in the room.
Timeline2–3 weeks
Full Implementation, Adoption & Validation Support
ScopeSpec-to-spec mapping, transformation, validation, and adoption through go-live.
TimelinePhased

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