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Legacy EHR Data Consolidation Service (Managed Integration)

A specialized systems integration firm that physically embeds 2-3 data engineers on-site at VA hospitals/regional medical centers for 6-12 months to map, extract, and unify patient data from fragmented legacy EHR systems (VistA, Cerner, Epic, paper records) into a single normalized data warehouse. The service includes custom ETL pipelines, data quality audits, and handoff training to the client's IT team.

SERVICE

42 weeks • 70% confidence

Value Proposition

Eliminates the 18-24 month procurement cycle and vendor lock-in of traditional consulting firms. Delivers working, integrated data in 6-9 months at 40% lower cost than McKinsey/Deloitte. Client retains full ownership of pipelines and data. Solves the 'nobody knows what we have' problem that blocks all downstream analytics.

Target Audience

VA regional medical centers, state hospital systems, large integrated health networks with 5+ legacy EHR systems

Key Features

  • On-site embedded data engineering team (2-3 FTE)
  • Custom schema mapping for each legacy system's data model
  • Real-time CDC (Change Data Capture) pipelines for active EHR feeds
  • And more, with full implementation detail...

Tech Stack

PostgreSQL or Snowflake (data warehouse) Apache Kafka or AWS DMS (CDC/streaming) Apache Airflow or dbt (ETL orchestration) Python/SQL (transformation logic)
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Original Problem

Healthcare systems struggle to predict and manage patient outcomes at scale with fragmented data

Large government healthcare agencies like the VA face critical challenges in consolidating disparate patient data sources to make accurate clinical predictions and optimize resource allocation. Current solutions fail because they don't integrate legacy systems, real-time data streams, and predictive analytics in a unified platform, forcing agencies to make decisions with incomplete information and resulting in poor patient outcomes and wasted operational costs.

Score: 23.3% • 2 demand signals