Customer Success Story State of Michigan : MAGI Case Study Beth Long, CGI Don Kosy, Oracle Consulting

MAGI Overview 2 MAGI Project Goal Comply with new CMS Medicaid regulations as required by the Affordable Care Act (ACA) MAGI Challenges Short time to implement Complicated regulations Multiple SOM Departments: coordination and governance Integrate with existing highly complex State systems, utilizing the CMS defined Federal Account Transfer schema Extreme security and reliability requirements for cloud host environment

3 MAGI Vendor Selection Why CGI / Oracle? CGI provided a comprehensive project plan to meet the go- live milestones Oracle provided an e xisting MAGI Eligibility Engine, built to model the Federal regulations Oracle Policy Automation product o English language rules engine o Self-explaining decisions CGI Façade maps the Federal AT schema data to OPA CGI + OPA Team Experience / Skills Bid Competitiveness to Overall Value

MAGI Eligibility Service Architecture 4 Federal AT Schema Packet

MAGI Execution Methodology Fully track the CGI project plan Iterate OPA activities, Overlap design/build/test cycles Adaptation not Creation Agile scope control based on program entity framework Thorough State & Federal UAT integration prior to go-live 1/14 5 MAGI Success Factors

CGI – SOM Collaboration Functioned as a Partner - not as a vendor Demonstrated clear separation of responsibilities Executive level support Risk Management Promoted a governance model for issue and risk management 6 MAGI Success Factors

During bid development Alliance history Oracle OPA solution seen as best fit and value for SOM During execution Partnership relationship rather than prime/sub Oracle team OPA expertise CGI project management and methodologies CGI hosting solution and capabilities Clear separation of responsibilities 7 MAGI Success Factors CGI – Oracle Collaboration

MAGI eligibility engine experts Gap-based design experts Oracle Policy Automation product experts Iterative parallel ruleset development PM Level Support OCS Policy Automation best practices 8 MAGI Success Factors Oracle Consulting’s Role

9 MAGI Success Factors Pre-built MAGI Eligibility Rulebase

10 MAGI Success Factors Gap-based Design Requirements Plan GAPAssessment Construct

11 MAGI Success Factors RTM - Driven

Implementing rules uses the actual language of the requirements Built-in regression tester finds bugs before SIT/UAT Can build rulebase in parallel with Façade, call it as a web service Decision reports = audit trail back to regulations and facts of the case 12 MAGI Success Factors Oracle Policy Automation Platform

13 MAGI Success Factors Iterative Parallel Development Process Requirements Design Configuration Regression Test Integration Design Requirements Configuration Regression Test Regression Test Integration Week 0 Week 1 Week 5 Don Ed Rafa Mike

14 MAGI Success Factors PM Level Support

Embedded Requirement References 15 MAGI Success Factors OCS Best Practices

16 MAGI Success Factors Decision Reports

17 MAGI Challenges & Solutions Meeting the Project Deadlines ChallengeSolution Delivery deadline during bid less than 6 months away Leverage a pre-built rulebase of Federal MAGI regulations Very short ramp-up after bid awarded – first integration test in 6 th week Parallel development of Façade completely separate from Rulebase Planned for 6 months, compressed to 4 Use an iterative parallel rule development process

18 MAGI Challenges & Solutions Tracking & Tracing Complex Requirements ChallengeSolution Traceability of results to requirements Embedded requirement references Traceability of results to causesDecision reports Use same rules for same requirements across different programs Pre-built rulebase eligibility framework

MAGI has implemented 4 quarterly releases over 2014 including implementation of: 5 required MAGI Medicaid/Chip programs & 2 state options Presumptive eligibility determinations for under 19 and pregnant women State Medicaid Expansion program “Healthy Michigan Plan” Integration with existing State of Michigan Medicaid and CHIP case management systems 19 MAGI Go-Live!

20

Lessons Learned What worked well Closing Comments 21 MI MAGI Customer Success

22 Lessons Learned You Need a DTM and an RTM The devil is in the data Need a "multi-lingual" data dictionary Need a schema-based data-validator Need a data council representing all producer and consumer stakeholders Need a “data czar” to oversee and enforce data integrity

23 What Worked Well Leveraging a Pre-Built Rulebase This was the biggest win: Adaptation not Creation Could skip the design, configuration, and regression test for 80% of the requirements in release 1 Could understand and implement State requirements even when vague or incomplete OPA upgrades were no problem Baseline OCS has been extended to include Federal SNAP, TANF, and traditional Medicaid eligibility

24 What Worked Well Dedicated Team(work) Rafa Ed Anisia Don Mike

Lessons Learned What worked well Closing Comments 25 MI MAGI Customer Success

26 Questions & Answers