Data Engineering, Migration & Intelligence

Create reliable information foundations and analytics that help clinical, operational and executive teams act with context.

What this capability covers.

  1. 01ETL/ELT & Data PipelinesOur etl/elt & data pipelines service combines domain discovery, solution design, implementation engineering, verification and managed transition. The approach is selected for the client’s existing technology environment and operating requirements.
  2. 02EHR Data Migration & ReconciliationOur ehr data migration & reconciliation service combines domain discovery, solution design, implementation engineering, verification and managed transition. The approach is selected for the client’s existing technology environment and operating requirements.
  3. 03Clinical FHIR Data PlatformsWe implement FHIR-based services and applications with resource modeling, profiles, API contracts, authorization and validation aligned to the target implementation guide.
  4. 04Data Warehousing & Analytical ModelsOur data warehousing & analytical models service combines domain discovery, solution design, implementation engineering, verification and managed transition. The approach is selected for the client’s existing technology environment and operating requirements.
  5. 05Clinical & Operational DashboardsWe design analytical experiences that link decision-making needs to governed data models, measurable KPIs, drilldowns and usable visualization patterns.
  6. 06Revenue-Cycle IntelligenceWe connect administrative transactions to auditable operational workflows, using validation, status correlation and exception queues to reduce disconnected manual handoffs.
  7. 07Data Quality, Lineage & GovernanceWe establish data-quality controls for completeness, consistency, identity matching, code normalization, provenance and exception remediation.
  8. 08AI-Ready Data FoundationsOur ai-ready data foundations service combines domain discovery, solution design, implementation engineering, verification and managed transition. The approach is selected for the client’s existing technology environment and operating requirements.

Typical deliverables.

  1. 01Discovery and solution architecture
  2. 02Workflow and data models
  3. 03Implementation backlog
  4. 04Secure working modules
  5. 05Integration tests and QA
  6. 06Operations documentation
  7. 07Release support

Solutions it powers.