International Journal on Science and Technology

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Transforming Quality Management with AI/ML and MDM Integration: A LabCorp Case Study

Author(s) Chandra Sekhara Reddy Adapa
Country United States
Abstract This case outlines 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.
Keywords Healthcare Quality Transformation, Master Data Management, Artificial Intelligence Integration, Patient Experience Enhancement, Regulatory Compliance Automation
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-28
Cite This Transforming Quality Management with AI/ML and MDM Integration: A LabCorp Case Study - Chandra Sekhara Reddy Adapa - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2959
DOI https://doi.org/10.71097/IJSAT.v16.i1.2959
Short DOI https://doi.org/g896fb
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