AI Adoption in Healthcare Industry 4.0 : Innovative Business Models and Employability Implications
Book Details
Format
Hardback or Cased Book
Book Series
Flexible Systems Management
ISBN-10
9819646669
ISBN-13
9789819646661
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 21st, 2025
Print length
143 Pages
Product Classification:
Health economicsHealth economicsBusiness mathematics & systemsBusiness mathematics and systemsComputer aided manufacture (CAM)Digital and Information technology: general topicsInformation technology: general issuesBusiness applicationsDatabasesDatabases / Data managementArtificial intelligenceArtificial intelligence (AI)
Ksh 23,400.00
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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.
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.
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