Healthcare Claim Reimbursement Using Apache Spark - Optum's System Transformation

Explore a 49-minute presentation on revolutionizing healthcare claim reimbursement using Apache Spark. Discover how Optum Inc. transformed their Oracle-based system to a Spark-powered solution, significantly improving performance and reducing costs. Learn about the conversion of claim ingestion processes, the design and proof of concept for replacing the 'claim reimbursement' module, and the advantages of using Spark for both batch and streaming processing. Gain insights into writing more efficient, testable code, reducing operational costs through public cloud integration, and enhancing claim processing with machine learning capabilities. Delve into topics such as claim ETL rewrite, design considerations, sample code implementation, cost analysis, Delta Lake adoption, and performance comparisons. Acquire valuable tips and feedback for implementing similar solutions in healthcare claim processing.

Intro
Claim Reimbursement Overview
Why Spark
Claim ETL Rewrite
Gains
Challenges
Design
Sample Code
Results
Cost
Delta lake adoption
Performance Comparison
Tips
Feedback