LEADER 04260nam  22007455  450 
001 9910999681903321
005 20250421130205.0
010   $a981-9646-67-7
024 7 $a10.1007/978-981-96-4667-8
035   $a(CKB)38537849000041
035   $a(DE-He213)978-981-96-4667-8
035   $a(MiAaPQ)EBC32016973
035   $a(Au-PeEL)EBL32016973
035   $a(OCoLC)1516988597
035   $a(EXLCZ)9938537849000041
100   $a20250421d2025      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAI Adoption in Healthcare Industry 4.0 $eInnovative Business Models and Employability Implications /$fby Mahima Jain, Sanjay Dhir, Shuchi Sinha
205   $a1st ed. 2025.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025.
215   $a1 online resource (XV, 143 p. 18 illus., 17 illus. in color.) 
225 1 $aFlexible Systems Management,$x2199-8507
311 08$a981-9646-66-9 
327   $aChapter 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.
330   $aThis book focuses on the prominent innovative business models and employability implications of artificial intelligence in the healthcare industry 4.0. To do so, it draws upon a rich base of case studies from robotics, virtual assistants, precision medicine, etc., to highlight the possibilities and implications of AI on health care. The book is useful in a variety of ways to the different stakeholders of healthcare sector. It helps medical professionals to understand the impact of the present technologies being adopted and the potential of AI-based technology. The content is of use for the policy makers as it also highlights the managerial and research implications, challenges, opportunities posed by the adoption of AI in healthcare industry 4.0. The rich case study analysis in the area of adoption of AI in healthcare helps generate insights for the academicians and researchers of this field in terms of the parallels drawn between adoptions of AI in healthcare industry 4.0 across the world. It is also useful for management students to understand the key management perspective when healthcare organizations attempt to devise strategies/policies for adoption of AI-driven technologies and processes implementation.
410  0$aFlexible Systems Management,$x2199-8507
606   $aHealth services administration
606   $aArtificial intelligence
606   $aMedical informatics
606   $aBusiness information services
606   $aMachine learning
606   $aBig data
606   $aHealth Care Management
606   $aArtificial Intelligence
606   $aHealth Informatics
606   $aIT in Business
606   $aMachine Learning
606   $aBig Data
615  0$aHealth services administration.
615  0$aArtificial intelligence.
615  0$aMedical informatics.
615  0$aBusiness information services.
615  0$aMachine learning.
615  0$aBig data.
615 14$aHealth Care Management.
615 24$aArtificial Intelligence.
615 24$aHealth Informatics.
615 24$aIT in Business.
615 24$aMachine Learning.
615 24$aBig Data.
676   $a362.1068
700   $aJain$b Mahima$4aut$4http://id.loc.gov/vocabulary/relators/aut$01817237
702   $aDhir$b Sanjay$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aSinha$b Shuchi$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910999681903321
996   $aAI Adoption in Healthcare Industry 4.0$94374811
997   $aUNINA