Digital Business Transformation in Healthcare: Advances, Models, Strategies and Frameworks
Feb 2026 · Academic Press
Ebook
250
Pages
family_home
Eligible
info
infoThis book will become available on February 1, 2026. You will not be charged until it is released.
About this ebook
"Digital Business Transformation in Healthcare: Advances, Models, Strategies and Frameworks" provides a comprehensive view of digital transformation, outlining challenges and barriers while emphasizing critical success factors for healthcare digital transformation. The book introduces healthcare readiness and maturity models, enabling healthcare systems to choose appropriate roadmaps for digital transformation. By utilizing these models, healthcare providers can select effective and sustainable strategies for their digital transformation journey, avoiding the negative impacts of fragmented technology adoption. It is designed for both professionals already immersed in the healthcare industry and those seeking advanced knowledge in digital business transformation within healthcare.• Assesses the key aspects, nature, and dimensions of digital transformation from the healthcare service perspective• Offers readiness and maturity data models specific to the healthcare service industry• Presents the inherent challenges and barriers associated with the adoption of emerging healthcare technologies
About the author
Prof Michael Mutingi is an Associate Professor in Industrial Engineering and Operations Management at the Namibia University of Science and Technology. He is actively involved in the university's Higher Degrees Committee, overseeing quality assurance in postgraduate studies. With a DEng in Engineering Management focused on healthcare operations management from the University of Johannesburg, he also holds MEng and BEng degrees from the National University of Science and Technology, Zimbabwe. Prof Mutingi's research interests span healthcare operations management, digital business transformation, simulation modeling, bio-inspired metaheuristic optimization, multi-criteria decision analysis, and supply chain management. He has played a crucial role in various industry research projects and is a member of professional organizations such as the South African Institute of Industrial Engineering (SAIIE) and the International Association of Engineers (IAENG). Additionally, he has supervised over 60 master's students and 2 PhD students, receiving multiple research awards and publishing extensively, including three books and over 120 articles in reputable international journals and conference proceedings. Notable achievements include best paper awards at international conferences such as the 2013 IEEE International Conference on Industrial Engineering and Engineering Management in Hong Kong and the 2014 World Congress on Engineering and Computer Science in San Francisco.
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