CHANDRA SEKHARA REDDY ADAPA

LabCorp Patient MDM Integrated with AI/ML – SUCCESS STORY

Abstract:

How LabCorp's National Office of Quality transformed its patient request management system by integrating Master Data Management with Artificial Intelligence and Machine Learning technologies. Facing overwhelming escalation volumes that strained resources and challenged quality standards, LabCorp implemented a strategic solution that addressed fundamental data management challenges while leveraging advanced analytics. The implementation created a unified data foundation through MDM, which was then enhanced with AI/ML capabilities across three domains: predictive analytics, automated large-dataset analysis, and resource optimization. The organization carefully navigated critical implementation considerations, including interoperability, change management, data privacy, and governance adaptation. The transformation yielded substantial benefits in process efficiency, cost effectiveness, compliance excellence, cultural transformation, and patient satisfaction, positioning LabCorp as a leader in healthcare quality management innovation.

Profile:

Chandra Sekhara Reddy Adapa is an accomplished MDM Architect with over 16 years of experience delivering enterprise-grade Master Data Management solutions across industries. He brings deep expertise in IBM MDM, Informatica MDM, and Teradata MDM, with a proven track record of enhancing data quality, governance, and operational efficiency for Fortune 500 clients such as LabCorp, Barclays, PepsiCo, Verizon, Intel, EA Sports, and Target. A certified expert in IBM and Teradata MDM, Chandra has led high-impact projects that significantly reduced data duplication and improved reporting accuracy. He is also a published researcher and recognized thought leader in data management, known for driving cross-functional collaboration, regulatory compliance, and data innovation.