Subash Lekshmi Velayudhan
Texas McCombs School of Business
McKinney, Texas, United States
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Subash Lekshmi Velayudhan is a Software Development Director with over 22 years of experience in Information Technology, currently pursuing a PG Program in Artificial Intelligence & Machine Learning at The McCombs School of Business at The University of Texas at Austin. As a recognized thought leader in healthcare technology transformation, Subash specializes in implementing AI-driven solutions that optimize payor operations across claims processing, fraud detection, and member engagement.
At NTT DATA, Subash has successfully led multiple high-impact implementations of healthcare payor systems, including HealthRules Payor and Amisys Advance, resulting in significant operational efficiencies for regional health plans. He has established innovative approaches to Test Data Management and Data Governance with a strong focus on compliance and privacy in healthcare systems.
A certified ScrumMaster® since 2014, Subash has driven organizational transformation from traditional waterfall methodologies to agile and DevOps models across multiple healthcare enterprises. His expertise spans the full spectrum of healthcare payer operations including enrollment, premium billing, claims processing, provider management, and EDI transactions across Commercial, Medicare, Medicaid, and Exchange lines of business.
Subash excels at establishing Testing Excellence Centers (TEC) that map testing processes to application dataflow and end-to-end business functions, dramatically improving quality while reducing implementation timelines. His technical expertise encompasses healthcare insurance products, SDLC tools, automation frameworks, and cloud technologies including ADLS, ADF, Snowflake, and Delphix Compliance Engines.
As an early adopter of AI in healthcare operations, Subash brings a unique perspective on the practical implementation challenges and strategic opportunities for healthcare organizations seeking to leverage artificial intelligence for competitive advantage.
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Accelerating Healthcare IT: The Model Office Approach for Standardized Implementations
The Model Office is a strategic approach designed to streamline
healthcare IT implementations. It focuses on developing standardized,
reusable configurations adaptable across diverse healthcare IT
platforms, directly addressing the core challenges of implementation
complexity and high costs. This innovative and structured framework empowers healthcare payers to accelerate system deployments, ensuring consistent quality and adherence to regulatory compliance.
Texas DynamicsCon Regional
AI Applications in Healthcare Insurance: Digital Transformation and Outcomes
Artificial intelligence offers a transformative solution to these challenges, driving operational excellence while maintaining compliance standards. Early adopters demonstrate measurable improvements in efficiency and cost reduction, making AI crucial for competitive advantage. This session includes Technical Architecture Assessment, Algorithm Performance Analysis and Technical Implementation Roadmap
AI Community Days - This session provides deep technical insights for IT leaders and architects implementing AI solutions, enabling informed decisions for robust and scalable deployments.
DynamicsCon Regional: Texas Sessionize Event
Subash Lekshmi Velayudhan
Texas McCombs School of Business
McKinney, Texas, United States
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