05015nam a22006015i 4500 978-981-97-9555-0 DE-He213 20251030114932.0 cr nn 008mamaa 250122s2024 si | s |||| 0|eng d 9789819795550 978-981-97-9555-0 10.1007/978-981-97-9555-0 doi RA971-971.85 KCQ bicssc BUS070170 bisacsh KCVJ thema Transforming Healthcare Sector Through Artificial Intelligence and Environmental Sustainability [electronic resource] / edited by Rubee Singh, Wasswa Shafik, David Crowther, Vikas Kumar. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 276 p. 38 illus., 29 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Approaches to Global Sustainability, Markets, and Governance, 2520-8780 Ai Integrated Healthcare and Environmental Sustainability -- Assessing the Impact of Artificial Intelligence on Healthcare Sector for Enhancing Sustainability -- Exploring the intersection of Ai Healthcare and Environmental Sustainability Future Trends and Challenges -- Bridging Human Interface and Technology A Critical Analysis of Artificial Intelligence for Hiring in the healthcare sector -- Artificial Intelligence-driven Technologies for Environmental Sustainability in the Healthcare Industry -- The Influence of Artificial Intelligence on the Healthcare Industry in Relation to Sustainability -- Patient Engagement and Data Security -- Transforming Healthcare through Smart Health Systems Harnessing Technology for Enhanced Patient Care -- Exploring Ethical Aspects and Regulatory Framework for Indias Sustainable Healthcare Sector in the Era of Artificial Intelligence -- Ethical Implications of Artificial Intelligence Ensuring Patient Data Security -- Artificial Intelligence Transparency and Explainability in Sustainable Healthcare. This book explores the intersection of artificial intelligence (AI) and sustainability in healthcare, focusing on how AI technologies are transforming medical practices while promoting environmentally responsible operations. It examines how AI-driven tools like machine learning and data analysis enhance diagnostic accuracy, streamline treatment planning, and personalize patient care by analysing large datasets, including genetic information. Additionally, the book addresses how AI can support sustainable healthcare practices by optimizing resource usage, such as energy consumption in hospitals, and improving supply chain management to reduce environmental impact. Practical case studies demonstrate how these technologies are being implemented to improve patient outcomes and achieve sustainability goals. The book considers the integration of AI into human resource management within healthcare, discussing AI's role in recruitment, performance management, and employee retention aligned with sustainability objectives. Ethical and regulatory issues surrounding AI adoption, such as data privacy and algorithmic transparency, are thoroughly examined, with an emphasis on creating responsible and equitable AI systems. Designed for healthcare professionals and administrators, this book provides practical strategies and real-world examples of AI implementation in sustainable healthcare, offering a balanced view of the opportunities and challenges ahead. Health services administration. 61649 Artificial intelligence. 58441 Biomedical engineering. Sustainability. 57661 Health Care Management. 67006 Artificial Intelligence. 58441 Medical and Health Technologies. Sustainability. 57661 Singh, Rubee. editor. edt http://id.loc.gov/vocabulary/relators/edt 77074 Shafik, Wasswa. editor. edt http://id.loc.gov/vocabulary/relators/edt 90463 Crowther, David. editor. edt http://id.loc.gov/vocabulary/relators/edt 57273 Kumar, Vikas. editor. edt http://id.loc.gov/vocabulary/relators/edt 66374 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819795543 Printed edition: 9789819795567 Printed edition: 9789819795574 Approaches to Global Sustainability, Markets, and Governance, 2520-8780 82183 https://doi.org/10.1007/978-981-97-9555-0 ZDB-2-BUM ZDB-2-SXBM 66525 66525