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Elsevier

Smart and Sustainable Healthcare Systems

From Algorithms to Patient Outcomes

  • 1st Edition - May 1, 2027
  • Latest edition
  • Editors: Shivi Sharma, Arvind Sharma, Kapil Sharma, Bal S. Virdee
  • Language: English

Smart and Sustainable Healthcare Systems: From Algorithms to Patient Outcomes addresses the transformative evolution in healthcare driven by artificial intelligence, machine learni… Read more

Description

Smart and Sustainable Healthcare Systems: From Algorithms to Patient Outcomes addresses the transformative evolution in healthcare driven by artificial intelligence, machine learning, telemedicine, and digital health technologies. This reference responds to the growing need for sustainable, personalized, and efficient healthcare delivery by bridging technical innovation with clinical application across diverse medical and engineering disciplines. The content spans intelligent decision support systems, IoT and wearable technologies, secure electronic medical records, telemedicine solutions, and automation in diagnostics and treatment. The book includes detailed chapters on AI in clinical pathways, predictive healthcare analytics, brain tumor classification, and sustainable telehealth innovations, complemented by real-world case studies and future outlooks. This reference benefits researchers, healthcare engineers, clinicians, and policymakers by providing in-depth exploration of emerging technologies, challenges, and practical solutions in Healthcare 4.0. It promotes sustainable healthcare practices, ethical AI use, and advances in telemedicine, equipping professionals with knowledge to design and implement intelligent healthcare systems that enhance patient care and resource efficiency.

Key features

  • Emphasizes sustainable and eco-friendly healthcare technologies
  • Explores AI and machine learning integration in clinical and telehealth systems
  • Provides real-world case studies illustrating smart healthcare challenges and solutions
  • Highlights trends and innovations shaping Healthcare 4.0
  • Offers guidance for implementing secure, personalized electronic medical records

Readership

Biomedical Engineering Researchers and Professionals

Table of contents

1. Foundations of Smart, Sustainable and Resilient Healthcare

2. Intelligent Decision Support Systems for Sustainable Healthcare

3. Artificial Intelligence in Clinical Pathways for Healthcare

4. AI and Machine Learning Algorithms for Clinical Decision Support

5. Internet of Medical Things (IoT) and Wearable in Digital-Health

6. Real-Time Intelligent Telehealth Workspace in Patient Monitoring

7. Secure and Personalized EMR Systems

8. Eco friendly innovations and development for sustainable Telehealth

9. Telemedicine and Remote Healthcare Solutions

10. Smart Hospital Infrastructure. IoT, Sensors, and Automation

11. Exploring Telemedicine’s Potential in Sleep Apnea Patient Management. A Novel Opportunity

12. Intelligent and Sustainable Healthcare Systems

13. Integrating Deep Learning Techniques for Accurate Brain Tumor Classification in MRI

14. Data Analytics for Predictive Healthcare

15. Computational Methods for Skin Disease Diagnosis and Prediction

16. Automation in Clinical, Diagnostics and Treatment Processes

17. The Future of Healthcare 4.0. Trends and Innovations

Product details

  • Edition: 1
  • Latest edition
  • Published: May 1, 2027
  • Language: English

About the editors

SS

Shivi Sharma

Dr. Shivi Sharma is an accomplished academician, researcher, and consultant currently serving as Associate Professor of Artificial Intelligence and Machine Learning at RV University, Bangalore. With a Ph.D. in Computer Science and Engineering and over a decade of multifaceted experience across academia, research, and industry, her work bridges the domains of AI, machine learning, natural language processing, and large language model (LLM) optimization. Dr. Sharma’s research focuses on cutting-edge areas such as retrieval-augmented generation (RAG), reinforcement learning, autonomous systems, and predictive analytics. She has published over 30 papers in prestigious SCI and Scopus-indexed journals, contributed to internationally recognized book chapters, and holds multiple patents in AI-driven solutions for healthcare, agriculture, and smart systems. In addition to her academic roles, Dr. Sharma has led AI research initiatives at NeoGenomics Labs (USA) and CDAC Mumbai, contributing to intelligent diagnostic models and public sector digital transformation. She is a frequent speaker at institutions like IIT Bombay and IIT Mandi, a reviewer for reputed journals including Elsevier and Springer, and an invited chair at major AI conferences. A passionate mentor, she has supervised Ph.D., M.Tech, and undergraduate research scholars, and remains dedicated to building scalable, ethical, and socially impactful AI technologies.
Affiliations and expertise
Associate Professor, Department of Computer Science and Engineering, RV University, Bangalore, India

AS

Arvind Sharma

Arvind Sharma is an Associate Professor in Shoolini University, India. His research interests span Cryptography, Computer Networks, Cloud Computing, Internet of Things, and Interdisciplinary research in healthcare.

Affiliations and expertise
Assistant Professor, Shoolini University, Solan (Himachal Pradesh), India

KS

Kapil Sharma

Kapil Sharma is working as Associate Professor in the prestigious All India Institute of Medical Science Bilaspur, and also serving as doctor in General Medicine and Surgery. He has M.D and M.B.B.S. degrees from Government Institutes in India. His research interests are in General Medicine, Internal Medicine, and Smart Healthcare.
Affiliations and expertise
Associate Professor, Department of Medicine, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India

BV

Bal S. Virdee

Prof. Bal S. Virdee holds a BSc (Engineering) Honours in Communication Engineering and an MPhil from Leeds University, UK, along with a PhD from the University of North London. He has served as an academic at both Open University and Leeds University. Before his academic career, he worked as a research and development Electronic Engineer at Teledyne Defence and PYE TVT (Philips) in Cambridge. Throughout his tenure at the university, Prof. Virdee has taken on various roles, including Health and Safety Officer, Postgraduate Tutor, Examination’s Officer, Admission’s Tutor, and Course Leader for MSc/MEng Satellite Communications, BSc Communications Systems, and BSc Electronics. In 2010, he became the Academic Leader for Undergraduate Recruitment. He is also an active member of the ethical committee, the school's research committee, and the research degrees committee, contributing significantly to the academic community.
Affiliations and expertise
Director, Centre for Communications Technology, London Metropolitan University, London Metropolitan University, London, UK