Move and unify behavioral-health information with greater control.
Make the data transition an accountable process.
A transition is more than a transfer.
A new EHR or a growing group of clinics can bring incompatible record structures, duplicate identities and years of historical information. A transfer needs explicit decisions about what should move, what should be archived and how completeness will be assessed.
Build around
the actual workflow.
We assess source systems, inventory agreed records, map and transform data, and run trial migrations. Exception handling, reconciliation and post-migration verification support a controlled cutover.
Capabilities matched
to an agreed scope.
- Source-system assessment
- Data inventory
- Data extraction
- Cleaning
- Mapping
- Transformation
- Patient matching
- Duplicate reconciliation
- Migration of agreed records and documents
- Trial migrations
- Validation
- Exception handling
- Cutover planning
- Post-migration verification
- Consolidated reporting datasets
A possible application.
A behavioral-health group acquires several clinics using different systems. An agreed project could map and reconcile the data, support a scoped migration and create a consistent group-level reporting dataset.
Hypothetical workflow illustration. This is not a Salt case study or a claim of measured results.- Better continuity of information
- Fewer reconciliation problems
- More reliable visibility across locations
Not every historical field or document can necessarily be transferred. Scope must establish what will be migrated, archived or handled separately. Downtime, record fidelity and rollback options are assessed before cutover; zero downtime and lossless migration are not assumed.
Discuss this challengeHave a behavioral-health
problem worth exploring?
Not every problem needs technology. But if you have a challenge worth understanding, we’d like to hear about it.
Start the conversation