Processes
Manage data collection
How manage data collection are reshaped as AGI capability advances.
ProcessesManage data collection
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Manage data collection sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Manage data collection inherits.
Where Manage data collection sits
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How the work flows
Trigger: A business need for clinical, demographic, or claims data is identified to support insurance operations or regulatory reporting.
- Identify clinical and administrative data requirements
- Configure secure ingestion interfaces for EDI and FHIR standards
- Extract raw data from provider networks and member portals
- Validate data against regulatory and structural rules
- Normalize data into standardized enterprise formats
- Load data into the core administrative processing system
Outcome: Validated and normalized data is securely loaded into the enterprise data warehouse or core administrative system for operational use.
Measured by
Data Ingestion Cycle TimeFirst-Pass Data YieldCost Per Data Record