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Datashark
Migration console · demo environment

LEGACY ARCHIVE → PACS · HL7 / DICOM PIPELINE

SYNTHETIC DATA ONLY · ZZTEST PATIENTS
NO PHI PRESENT IN THIS DEMO

EXTRACT · flat-file intake

Reading exam manifests exported from the legacy archive. Each CSV row is one study.

rowmrnpatient_namedobmodstudy_dateaccessionimgs
reading manifest… 0/5 rows
Scale · what a real hospital migration looks like

The five studies above are the pipeline in miniature. A typical mid-size hospital produces 60–90k imaging studies a year; migrating a 10-year archive means moving the volume below — which is why throughput, validation and quarantine handling are the entire game. Drag to model your archive:

117.0M
DICOM objects
52.6 TB
est. volume
5.3 mo
duration
10k
quarantine @ 1.5%
Rule of thumb the demo makes visceral: at 4,000/day this archive takes 5.3 months of continuous, validated transfer — and ~10k studies will need the human quarantine worklist you saw in stage 02. Plan for both, or the go-live slips.