Every vendor switch in EMS today is brutal, and most agencies know it before they start
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Switch vendors without switching off. Cortex auto-detects exports from legacy EMS, Fire, and HEMS platforms, maps every field with a per-row confidence ring, stages everything in a tenant-isolated vault, and never silently drops a record. Nothing crosses into production until the operator approves the staging report.
Every vendor switch in EMS today is brutal, and most agencies know it before they start
Manual re-entry across thousands of patient records means weeks of staff time and a fresh transcription error on every page
Claim history is left behind because the old system will not export it cleanly, so the AR that is still collectible becomes invisible
ePCR attachments — the signed PCS forms, the rhythm strips, the scanned documents — get lost because they were never structured data
And the migration usually forces a data-downtime window where the agency is running blind
The math is so painful that most migrations are abandoned, and agencies stay locked into a system they have already outgrown
Cortex Migration Whisperer ingests legacy vendor exports automatically, identifies the source schema from the export itself, and maps every field with a per-row confidence ring so the operator sees exactly how certain each decision is. Every record is staged in a tenant-isolated S3 vault before commit — your data is reconciled, not poured straight into production. Nothing crosses into live data until the operator approves the staging report, and every mapping decision is captured in an audit log with who, what, when, and confidence. The switch happens without data downtime and without a single silently dropped record.
vendor and schema identified from CSV, XML, and NEMSIS export headers
every map decision scored with visible certainty and provenance
legacy data staged in an isolated S3 vault, never poured into the model
AWS Glue catalog of every legacy table and column
Textract reads ePCR PDF attachments and signed forms into structure
Bedrock-backed mapping, always operator-supervised
staging tables hold everything until the operator signs off
Step Functions orchestration with full retry and audit log
side-by-side legacy and AdaptixCore comparison before commit
who mapped what, when, and at what confidence, on every decision
No swivel-chair integrations. No spreadsheet exports. One data model, shared across every module.
20 minutes with Joshua on a real tenant-isolated build — the actual operator workflow, no mocked data, no slideware.