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AI adoption in healthcare industry 4...

Jain, Mahima.

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AI adoption in healthcare industry 4.0 = innovative business models and employability implications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI adoption in healthcare industry 4.0/ by Mahima Jain, Sanjay Dhir, Shuchi Sinha.
Reminder of title:	innovative business models and employability implications /
Author:	Jain, Mahima.
other author:	Dhir, Sanjay.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xv, 143 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Medical applications. -
Online resource:	https://doi.org/10.1007/978-981-96-4667-8
ISBN:	9789819646678

AI adoption in healthcare industry 4.0 = innovative business models and employability implications /
Jain, Mahima.

AI adoption in healthcare industry 4.0innovative business models and employability implications /[electronic resource] :by Mahima Jain, Sanjay Dhir, Shuchi Sinha. - Singapore :Springer Nature Singapore :2025. - xv, 143 p. :ill. (chiefly color), digital ;24 cm. - Flexible systems management,2199-8507. - Flexible systems management..

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.

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.

ISBN: 9789819646678

Standard No.: 10.1007/978-981-96-4667-8doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

AI adoption in healthcare industry 4.0 = innovative business models and employability implications /
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520 $a 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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