SDT migration
Map accessible data.
Source → mapping → review → validation. SDT does not provide access to restricted source systems.
Migration
Considering a migration?
Start with feasibility.
An optional path, starting with access, cost, and operational readiness. A Semantic Digital Twin (SDT) supports mapping and validation of accessible data.
A governed migration sequence
From source data
to an approved move.
Automation handles repeatable mapping and execution work. Your team reviews meaning, scope, and readiness at the points where judgment matters.
Assess the source
Confirm whether the required data can be accessed, what extraction and interface costs apply, and whether the proposed scope is practical before committing to a move.
Review this stage
- Source-system and interface assessment
- Record scope, quality, and exception review
- An agreed target and ownership model
Map and review
SDT represents the source and target structures. Suggested mappings and ambiguous fields are presented for review.
Review this stage
- Semantic mapping with confidence information
- Clinical and operational expertise focused on exceptions
- Approved mappings retained for reuse
Validate before execution
Run a dry run against the agreed scope and inspect the results before authorizing the migration.
Review this stage
- Data-quality checks and reconciliation
- Recorded review and approval
- Explicit readiness criteria for the transition
Execute and maintain continuity
Run the approved migration with execution checkpoints and visibility into progress. Keep required exchanges operating through SDT runtime.
Review this stage
- Checkpointed execution and recovery controls
- An inspectable history of mappings, approvals, and execution
- A defined cutover for the selected functional area
Your pace. Your scope.
A transition does not
have to be all at once.
A documentation workflow can move before scheduling. A coordination function can operate alongside your existing clinical record. Each step has its own data scope, ownership, and approval criteria.
See the coexistence model →What shapes the transition
- Authorized source-data access, export coverage, and supported interfaces
- Vendor requirements, extraction costs, data quality, history, and custom fields
- Required clinical and operational review
- Downstream dependencies and record ownership
- Validation, staff readiness, and cutover timing
Your next step
Assess the options before committing.
We’ll assess one functional area, the information it needs, and the connections that must remain in place.