Discovery and profiling
Understand source structures, quality, ownership, volumes and constraints.
Implementation and data migration
Transform, assure, match, merge and govern healthcare data through repeatable trial migrations and controlled cutover.
Migration expertise
Healthcare migration requires data-quality repair, accountable matching, document handling, continuous histories and defensible retention decisions.
Understand source structures, quality, ownership, volumes and constraints.
Convert structured data and linked documents into the target model.
Identify and safely merge duplicate people and related records.
Resolve broken links, invalid values and legacy inconsistencies.
Separate active and archived information and apply agreed policy.
Validate completeness, totals, lineage and operational readiness.
Controlled delivery
A dedicated implementation manager coordinates the customer, data owners, incumbent suppliers and delivery team.
Agree scope, mappings, rules, controls and acceptance criteria.
Run repeatable transformations and expose quality exceptions early.
Support clinical, financial and data-owner reconciliation.
Execute the final plan with hypercare and traceable outcomes.
Evidence and assurance
Our team has consolidated seven independent databases, including differently structured legacy datasets, duplicates and historic quality issues.
Talk to our team
Share the number of source systems, approximate volumes, document types and intended timescale. We will outline a proportionate migration and assurance approach.