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Healthcare Data Integration

Multi-system clinical data integration

Healthcare provider (illustrative)

Illustrative sample, not a client engagement. No results are published because this scenario has no verified outcome.

Challenge

A care delivery organization maintains separate admission, laboratory, and scheduling feeds. Operations staff reconcile the same encounter in more than one system, and downstream reporting arrives too late to be useful during the day.

Solution overview

An integration layer receives the operational feeds, validates required segments, and publishes a consistent encounter record for analytics and workflow tools. Each source keeps its system of record. The new layer documents the mapping rather than hiding it.

Approach

  1. Inventory the source interfaces and the fields each consumer actually uses.
  2. Define a canonical encounter model and the identifiers used to match records.
  3. Validate required fields and route failures to an operations queue.
  4. Publish the curated record to the warehouse and to the applications that need it.

Technologies

  • HL7 v2
  • FHIR
  • SQL
  • Azure Data Factory
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