Research & Publications

This doctoral research examines how organizations successfully integrate artificial intelligence technologies with Lean Six Sigma methodologies to achieve sustainable process improvements. The study explores implementation frameworks, change management strategies, and measurable outcomes across multiple industries.

This paper presents a comprehensive framework for implementing machine learning algorithms to optimize clinical workflows and reduce operational inefficiencies in healthcare settings. Case studies demonstrate 30-40% improvement in process cycle times.

An empirical study analyzing critical success factors for digital transformation initiatives through the lens of Lean Six Sigma methodology. Research includes data from 20+ organizations across multiple sectors.

A strategic breakdown of how organizations are moving beyond traditional continuous improvement models and embracing data-driven, self-optimizing systems. Explores the evolution from Lean Six Sigma cycles to AI-enabled continuous intelligence, highlighting real-world implications for decision-making, operational agility, and performance outcomes.

Exploring how artificial intelligence is revolutionizing patient care delivery, from predictive analytics to automated administrative processes.

A comprehensive guide to planning and executing successful cloud migration projects, including risk assessment, architecture design, and change management frameworks.

This research explores how traditional Lean manufacturing principles can be adapted and enhanced through modern automation and AI technologies.

Practical insights on transforming organizational culture to embrace data-driven decision making and continuous improvement.

A practical framework for calculating and demonstrating return on investment for artificial intelligence initiatives, including both tangible and intangible benefits.

Examining how process mining technologies combined with AI can uncover hidden inefficiencies and drive continuous improvement initiatives.