AI Adoption in Healthcare Industry 4.0

Innovative Business Models and Employability Implications
Erscheinungsjahr 2025
ISBN: 978-981-964666-1
Verlag: Springer Nature Singapore

Buch, Englisch, 143 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 410 g

Reihe: Flexible Systems Management

This book focuses on the prominent innovative business models and employability implications of artificial intelligence in the healthcare industry 4.0. To do so, it draws upon a rich base of case studies from robotics, virtual assistants, precision medicine, etc., to highlight the possibilities and implications of AI on health care. 

The book is useful in a variety of ways to the different stakeholders of healthcare sector. It helps medical professionals to understand the impact of the present technologies being adopted and the potential of AI-based technology. The content is of use for the policy makers as it also highlights the managerial and research implications, challenges, opportunities posed by the adoption of AI in healthcare industry 4.0. The rich case study analysis in the area of adoption of AI in healthcare helps generate insights for the academicians and researchers of this field in terms of the parallels drawn between adoptions of AI in healthcare industry 4.0 across the world. It is also useful for management students to understand the key management perspective when healthcare organizations attempt to devise strategies/policies for adoption of AI-driven technologies and processes implementation.

Zielgruppe

Research

Autoren/Hrsg.

Jain, Mahima

Sinha, Shuchi

Dhir, Sanjay

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Wirtschaftswissenschaften Volkswirtschaftslehre Gesundheitsökonomie
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie

Inhaltsverzeichnis

Chapter 1: Artificial Intelligence and Healthcare Sector.- Chapter 2. Adoption of Artificial Intelligence in Healthcare Industry 4.0.- Chapter 3. Effect of AI on Employability Implications for Healthcare Industry 4.0.- Chapter 4. Effect of AI on Innovative Business Models in Healthcare Industry 4.0.- Chapter 5. Challenges of AI in Healthcare Industry 4.0.- Chapter 6. Opportunities and implications of AI in Healthcare Industry 4.0.- Chapter 7. Real World Examples of AI in Healthcare Industry 4.0.- Chapter 8. Overview and Way Forward for AI in Healthcare Industry 4.0.

Über Autor(innen)

Mahima Jain is a doctoral student in strategic management in the Department of Management Studies at the Indian Institute of Technology Delhi, India. Her research interests include technology management, artificial intelligence, and healthcare. 

Sanjay Dhir is Associate Professor of strategic management in the Department of Management Studies at the Indian Institute of Technology Delhi, India, and a Fellow of the Indian Institute of Management, Lucknow, India. Author of several research papers and co-author/co-editor of three Springer books, he is a core committee member of the Government of India's Unnat Bharat Abhiyan project to improve conditions in rural India. His research interests include strategic management, joint ventures, innovation management, management of change, implementation strategies, and international strategy. 

Shuchi Sinha is Associate Professor at the Department of Management Studies, Indian Institute of Technology Delhi, India. She has taught and researched in the United Kingdom and India. Her research interests include identity work, leadership, workplace spirituality, sense making among others. She has published several research papers in international journals of repute. Currently, she is working on research projects related to employability and future of work.