東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

AI adoption in healthcare industry 4...

Jain, Mahima.

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI adoption in healthcare industry 4.0/ by Mahima Jain, Sanjay Dhir, Shuchi Sinha.
其他題名:	innovative business models and employability implications /
作者:	Jain, Mahima.
其他作者:	Dhir, Sanjay.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xv, 143 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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
標題:	Artificial intelligence - Medical applications. -
電子資源:	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 /
LDR:02930nmm a2200337 a 4500 001 2411373
003 DE-He213
005 20250421130205.0
006 m d
007 cr nn 008maaau
008 260204s2025 si s 0 eng d
020 $a 9789819646678 $q (electronic bk.)
020 $a 9789819646661 $q (paper)
024 7 $a 10.1007/978-981-96-4667-8 $2 doi
035 $a 978-981-96-4667-8
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78
072 7 $a KCQ $2 bicssc
072 7 $a BUS070170 $2 bisacsh
072 7 $a KCVJ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b J25 2025
100 1 $a Jain, Mahima. $3 3785851
245 1 0 $a AI adoption in healthcare industry 4.0 $h [electronic resource] : $b innovative business models and employability implications / $c by Mahima Jain, Sanjay Dhir, Shuchi Sinha.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xv, 143 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Flexible systems management, $x 2199-8507
505 0 $a 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.
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.
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 0 $a Industry 4.0. $3 3491401
650 1 4 $a Health Care Management. $3 2054807
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a IT in Business. $3 2114922
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Big Data. $3 3134868
700 1 $a Dhir, Sanjay. $3 3408824
700 1 $a Sinha, Shuchi. $3 3785852
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Flexible systems management. $3 2059166
856 4 0 $u https://doi.org/10.1007/978-981-96-4667-8
950 $a Business and Management (SpringerNature-41169)