Digital transformation has emerged as a critical driver of innovation and performance improvement withinhealthcare systems worldwide. The integration of advanced technologies such as artificial intelligence (AI),digital research tools, simulation-based training systems, and innovative medical devices has significantlyaltered healthcare delivery, decision-making processes, and organizational operations. However, the successfulimplementation of digital transformation initiatives depends not only on technological advancements but also oneffective governance structures, adequate economic resources, and strategic change management practices. Thisstudy examines the role of corporate governance, artificial intelligence, economic factors, and changemanagement in facilitating digital transformation within healthcare organizations. Using a narrative literaturereview approach, the study synthesizes evidence from recent scholarly publications addressing healthcareinnovation, organizational performance, health financing, technology adoption, and digital healthcare systems.The findings indicate that strong governance mechanisms promote accountability, strategic alignment, andtechnology adoption, while artificial intelligence enhances clinical decision-making, operational efficiency, andpredictive capabilities. Economic factors, including healthcare expenditure and financial sustainability,significantly influence the capacity of healthcare institutions to adopt and maintain digital innovations.Furthermore, effective change management practices are essential for overcoming organizational resistance andensuring successful technology integration. The review highlights the interconnected nature of governance,technology, economics, and organizational adaptation in shaping healthcare transformation outcomes. The studyconcludes that a holistic approach combining robust governance frameworks, sustainable financial investment,AI driven innovation, and proactive change management is necessary to maximize the benefits of digitaltransformation in healthcare. Future research should explore long term implementation outcomes and emergingtechnological developments across diverse healthcare settings.