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024 7 _a10.1007/978-981-97-9555-0
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245 1 0 _aTransforming Healthcare Sector Through Artificial Intelligence and Environmental Sustainability
_h[electronic resource] /
_cedited by Rubee Singh, Wasswa Shafik, David Crowther, Vikas Kumar.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 276 p. 38 illus., 29 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aApproaches to Global Sustainability, Markets, and Governance,
_x2520-8780
505 0 _aAi 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.
520 _aThis 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.
650 0 _aHealth services administration.
_961649
650 0 _aArtificial intelligence.
_958441
650 0 _aBiomedical engineering.
650 0 _aSustainability.
_957661
650 1 4 _aHealth Care Management.
_967006
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aMedical and Health Technologies.
650 2 4 _aSustainability.
_957661
700 1 _aSingh, Rubee.
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700 1 _aShafik, Wasswa.
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700 1 _aCrowther, David.
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700 1 _aKumar, Vikas.
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710 2 _aSpringerLink (Online service)
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830 0 _aApproaches to Global Sustainability, Markets, and Governance,
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856 4 0 _uhttps://doi.org/10.1007/978-981-97-9555-0
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