PEGA UM Implementation for Federal Eligibility Processing: A Case Study on Compliance Integration

Abstract

Especially in line with the criteria of the Affordable Care Act (ACA) and the Children's Health Insurance Program (CHIP), the use of PEGA for Utilization Management (UM) marks a major development in the modernization of healthcare service access and governance.   This case study investigates how PEGA's Unified Modeling (UM) elements could be applied to automate eligibility determinations and create system foundation compliance into reality.   This exercise was developed on the building of dynamic decision trees able to dynamically adapt to changing government criteria, therefore minimizing hand-off interaction and human error.  Working with engineers, policy analysts, and business analysts, the team guaranteed system logic followed federal compliance criteria using an agile deployment approach.   The paper examines Pega's modular architecture, stressing basic data integration, audit-ready compliance verifications, and the time-based engine of the Pega system.   Particular attention is on how these traits raise qualifying criteria for Medicaid and CHIP applicants, therefore enabling quick processing and enhanced accuracy.   Combining user-centered design with iterative testing, the project approach satisfied end-user needs, including those of caseworkers and policy managers.   Of course, tracked advances in user happiness and policy compliance follow from operational performance.  The Pega system stood out as a scalable, future-ready platform by including compliance logic into processes and allowing dynamic rule modifications free from code deployments.  Against policy complexity, this case study provides public sector organizations striving to implement low-code systems with a reasonable base for administrative flexibility.