Devi Manoharan
Senior Software Engineer in Test
Washington, District of Columbia, United States
Actions
My name is Devi Manoharan, and I am an Enterprise Quality Engineering Specialist focused on healthcare claims automation, EDI compliance integration, and payer modernization initiatives. I would like to be considered as a virtual speaker for an upcoming Sessionize conference or webinar.
Links
Area of Expertise
Topics
Reinventing Claims Adjudication with AI, ML, RPA, and Intelligent EDI for High-Velocity, High-Accura
Payer organisations face mounting pressures from rising claim complexity, administrative workload, and limited operational capacity. This session demonstrates how the unified application of artificial intelligence, machine learning, robotic process automation, and next-generation EDI platforms is transforming end-to-end claims processing with measurable gains in accuracy, speed, and efficiency.
Attendees will discover how machine learning models elevate claim classification and greatly enhance anomaly and pattern detection compared to traditional rule-based systems. By identifying coding inconsistencies, routing issues, and high-risk scenarios earlier in the workflow, modern learning techniques significantly reduce manual intervention and administrative burden.
The session also outlines how RPA accelerates repetitive tasks—such as eligibility checks, data validation, and claim routing—enabling reduced turnaround times, lower error rates, and improved throughput. Additionally, it highlights the role of intelligent EDI platforms like Informatica B2B, which automate large-scale X12 transaction parsing, enrichment, mapping, and compliance validation while supporting ongoing regulatory changes.
By integrating AI-driven insights, automation, and intelligent EDI orchestration, payers can shrink pended-claim volumes, enhance adjudication precision, and achieve sustainable operational transformation. This session provides both technical and business leaders with a practical blueprint for modernising claims workflows and confidently scaling for the future.
Compliance-as-Code: The Next Evolution in Automated Claims Quality & EDI Governance
Healthcare payers face constant policy, EDI, and regulatory updates. This session explores how Compliance-as-Code turns HIPAA, CMS, and trading partner rules into automated, testable, version-controlled logic—improving accuracy, reducing audit risk, and accelerating claims processing.
Adaptive Quality Engineering: Modernizing Test Automation for Healthcare Claims Systems
Many large enterprises—especially in healthcare—still rely on static, brittle test automation frameworks that are unable to keep pace with evolving data structures, policy updates, X12 EDI changes, and shifting integration patterns. This session explores Adaptive Quality Engineering, a modern automation methodology that uses risk-based coverage, dynamic assertions, data-driven validation, pipeline intelligence, and event-based triggers to build resilient, scalable test ecosystems. Attendees will learn how to design automation frameworks that self-adjust to schema updates, transformation logic changes, and new regulatory requirements, reducing maintenance effort, defect leakage, and triage overhead. Concepts and examples are transferable across industries handling high-volume transactional data, APIs, ETL pipelines, and distributed microservices.
Devi Manoharan
Senior Software Engineer in Test
Washington, District of Columbia, United States
Links
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top