Digital Business Transformation in Healthcare

Advances, Models, Strategies and Frameworks
Erscheinungsjahr 2027
ISBN: 978-0-443-33408-5
Verlag: Elsevier Science

Buch, Englisch, 250 Seiten, Format (B × H): 191 mm x 235 mm

Digital Business Transformation in Healthcare: Advances, Models, Strategies and Frameworks provides a comprehensive view of digital transformation, outlining challenges and barriers while also 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.

Autoren/Hrsg.

Mutingi, Michael

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie

Inhaltsverzeichnis

Part 1: Concepts, Perspectives and Challenges
1. Introduction
2. Adoption of Emerging Healthcare Technologies
3. Digital Transformation in Healthcare: A SWOT Analysis

PART 2: Healthcare Digital Transformation Readiness and Maturity Models
4. Critical Success Factors for Healthcare Digital Transformation
5. Readiness Models for Healthcare Digital Transformation
6. Maturity Models for Healthcare Digital Transformation

Part 3: Healthcare Digital Transformation Models, Strategies and Frameworks
7. Healthcare Digital Transformation Models
8. Healthcare Digital Transformation Strategies

Part 4: Digital Transformation Benefits, Recommendations and Conclusions
9. The Impact of Digital Transformation in Healthcare
10. Conclusions and Further Research

Über Autor(innen)

Mutingi, Michael
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.