Overcoming Barriers in Healthcare Data Aggregation for Value-Based Care
The aggregation of healthcare data is hampered by issues such as fragmented systems, lack of data quality, and integration issues.
The solutions are single data models, lakehouse architecture, AI-driven curation, and real-time processing.
- Preserves original information
- Progressive improvement through curation
- Fast queries for clinical applications
- Handles structured and unstructured data
The pipeline starts with raw data from source systems. Sophisticated curation processes refine this through multiple stages.
Create a single longitudinal patient record requires advanced curation
The result is a dynamic longitudinal patient record that updates as new information arrives. Raw data becomes actionable through AI analysis.
Author summary: Improving healthcare data aggregation for value-based care.