Patient data joined, not moved
Three record systems, one clinical view, and no copy of patient data leaving its original store.
- Client
- Thackray Health
- Sector
- Healthcare
- Engagement
- Integration
- Duration
- 10 months
Why they called us
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The problem we were handed
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What was actually going wrong
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How we worked
The sequence we followed, and why each stage had to come before the next.
Map what the system actually does
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Agree what must not break
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Move one slice, in production
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Repeat until the old system is idle
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Turn it off, with the client's hand on the switch
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What we built
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One record of truth per domain
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A translation layer, not a rewrite
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Observability from day one
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Rollback at every step
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Reading the diagram
- The source system, left running throughout.
- The translation layer that reads from it.
- The new service, taking one slice of traffic at a time.
- The shared datastore both sides write to during migration.
The system in full
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Reading the diagram
- The source system, left running throughout.
- The translation layer that reads from it.
- The new service, taking one slice of traffic at a time.
- The shared datastore both sides write to during migration.
What changed
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9
Times faster retrieval
Median time to assemble a full patient record.
0
Records copied
Every system remained the owner of its own data.
3
Systems federated
Two clinical, one administrative.
41%
Fewer duplicate requests
Clinicians stopped re-asking for records they could not find.
Before and after
Measured on the same terms, twelve months apart.
Record retrieval
9xfaster
Systems a clinician opens
2 fewerper lookup
Governance exceptions raised
allresolved
The answer we expected was a data warehouse. They talked us out of it in the first fortnight and the information governance team have never once objected since.
Rhiannon BevanChief Clinical Information Officer, Thackray HealthOther case studies
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