Fragmented technology silos and the infusion of different types of member/patient data at a large volume stress existing architectures.
Goals and Objectives
Establishing a 360-degree view of usable customers, providers, employees, and brokers for comprehensive understanding of stakeholders
- Big data warehouses, marts, and lakes
- Unstructured AI parsing of notes and texts and policies
- Infusion engines making ETL faster and more efficient
Use Case Summary
A secondary backbone over the enterprise service bus, traditional ETL processing, and SFTP inputs is becoming required to handle the infusion of SDOH, remote, member provided data.