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Enhancing Claims Processing Efficiency Through Service-Oriented Architecture Prototype

This project aims to investigate performance improvements in claims processing by developing a prototype using caching, threading, and distributed services. The team, led by Jaden, Bruun, Jason Cavett, Justin Glaser, and Erik Raisanen, works closely with sponsor Eric Stephens and advisor Robert Bubacz to optimize processing time, memory and CPU usage. The iterations involve implementing Java Caching System, EJB Specification v2.1, and distributed services for load balancing and machine assignment. The final results provide recommendations for future enhancements and highlight successful team collaboration.

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Enhancing Claims Processing Efficiency Through Service-Oriented Architecture Prototype

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Presentation Transcript

  1. Claims Service-Oriented Architecture Performance Prototype Team Hooloovoo

  2. Team Members Jaden Bruun Jason Cavett Justin Glaser Erik Raisanen Sponsor Eric Stephens Advisor Robert Bubacz Team Information

  3. Project Description • Project Background • Claims Processing • Performance vs. Modifiability • New Solution Required • Investigate Performance • Develop Prototype • Investigate Performance Improvements

  4. Process • Baseline Development • Three Iterations • Caching • Threading • Distributed Services

  5. Metrics • Performance • Processing Time • Memory Usage • CPU Usage • Effort • Man Hours • Function Points

  6. Baseline • Processing Claims • Validate the Claim • Retrieve Claim History • Determine Member Eligibility • Provider Validation

  7. Baseline

  8. Iteration 1: Caching • Java Caching System (JCS) • Aspect-Oriented Programming • Spring Framework • Dynamic vs. Static Caching

  9. Iteration 1: Caching

  10. Iteration 1: Caching

  11. Iteration 1: Caching

  12. Iteration 2: Threading • EJB Specification v2.1 • “The enterprise bean must not attempt to manage threads.” • New Solution • Remove EJBs • Thread per Service

  13. Iteration 2: Threading

  14. Iteration 2: Threading

  15. Iteration 3: Distributed Services • Replication of the Baseline • Load Balancing • Assigns Work to Machines

  16. Iteration 3: Distributed Services

  17. Iteration 3: Distributed Services

  18. Final Results

  19. Recommendations

  20. Project Assessment: Problem Areas • Distractions • Poster Presentation • Threading • Specification Restriction • No Mitigation Plan

  21. Project Assessment: Working Well • Solid Team • Sponsor Communication • Bi-Weekly Conference Call • Working Sessions • Dual Core iMac

  22. The Project’s Future • Service Initiative • Implementation of Core Services • Provider and Product in Production • CSOAPP Saves Excellus Time • 6 Months of Work • Value with Use

  23. Questions

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