Virtual Healing

Remote Patient Care and Pain Management
1. Auflage 2027
ISBN: 978-1-041-21688-9
Verlag: Taylor & Francis

Buch, Englisch, 328 Seiten, Format (B × H): 156 mm x 234 mm

This book addresses the transformation of healthcare delivery through virtual care, digital health technologies, artificial intelligence, connected medical systems, and intelligent clinical workflows. It examines how emerging technologies are reshaping the way healthcare professionals deliver continuous, patient-centered, accessible, and data-driven care.

Virtual Care in Clinical Workflows: Transforming Modern Healthcare offers several key advantages that establish it as a valuable reference in the field. It brings together multidisciplinary perspectives on key areas of virtual healthcare, including telemedicine, remote patient monitoring, artificial intelligence and machine learning, the Internet of Medical Things (IoMT), electronic health records, clinical decision support, conversational healthcare systems, digital therapeutics, healthcare data privacy, cybersecurity, accessibility, and ethical considerations, addressing both the technological and clinical dimensions of virtual care. A key strength of the book is its focus on the practical transformation of clinical workflows through emerging technologies, examining the application of AI and machine learning in diagnosis, treatment support, chronic disease management, pain management, nutritional planning, clinical documentation, and patient monitoring, alongside the role of blockchain, software-defined networking, intelligent communication systems, and secure data architectures in enabling reliable and scalable virtual healthcare environments. It further addresses important challenges associated with the adoption of virtual care, including data privacy, cybersecurity, interoperability, accessibility, equity, patient engagement, and the ethical use of artificial intelligence, offering a comprehensive perspective on the opportunities and challenges involved in creating next-generation virtual care ecosystems.

The primary audience for this book is researchers, academics, healthcare professionals, clinicians, health informatics specialists, computer scientists, software and network engineers, and postgraduate students working in healthcare technology and digital health. Secondary markets include professionals involved in telemedicine, medical IoT, artificial intelligence, healthcare cybersecurity, clinical information systems, and digital transformation, as well as readers seeking to understand how emerging technologies can support more connected, intelligent, secure, continuous, and patient-centered healthcare delivery.

Zielgruppe

Postgraduate and Professional Reference

Autoren/Hrsg.

Pandimurugan, Vellaisamy

V., Rajaram

Chinnasamy, A.

Sountharrajan, S.

Jayavel, Amudhavel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Virtuelle Realität, Erweiterte Realität
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft

Inhaltsverzeichnis

Chapter 1 Introduction to virtual healing in patient care Chapter 2 Telemedicine Revolution: Advancing Patient-Centered, Continuous, and Accessible Healthcare Through Technology Chapter 3 Virtual Care in Clinical Workflows: Transforming Modern Healthcare Chapter 4 AI-Powered Treatment for Chronic Pain and Remote Intervention Chapter 5 SELF-LEARNING CONVERSATIONAL AGENT FOR PAIN COPING PSYCHOLOGICAL THERAPY Chapter 6 Virtual Healing in Palliative Care: Enhancing Quality of Life for End-Stage Patients Chapter 7 Intelligent Diet Planning Using AI and ML Algorithms for Diabetes and Nutritional Health Monitoring Chapter 8 Empowering Healthcare: Using AI and Blockchain to Improve Diabetes Care in the UAE and India Chapter 9 NLP-Enhanced Clinical Note Summarization for Automated Discharge Documentation Chapter 10 The Cognitive Network for IoMT: Using SDN to Dynamically Prioritize 5G Data for Real-Time AI Remote Healthcare Monitoring Chapter 11 Wearable Technology and Remote Monitoring in Virtual Healing Chapter 12 Data Privacy And Ethical Consideration For In Virtual Care Chapter 13 Accessibility and Equity in Virtual Healthcare Systems Chapter 14 The Future of Healing: Emerging Trends and What Lies Ahead

Über Autor(innen)

Dr. V. Pandimurugan is an Associate Professor in the Department of Computer Science and Engineering at Acharya University, Uzbekistan. He obtained his Ph.D. in Computer Science & Engineering from Manonmaniam Sundaranar University (MSU), Tirunelveli, in 2019. He earned his B.E. in Electrical and Electronics Engineering (EEE) from Anna University in 2005, followed by an M.E. in Computer Science & Engineering (CSE) in 2008. Dr. Pandimurugan's expertise spans health monitoring, machine learning, networks, security, and IoT.

Dr. V.Rajaram is an Associate Professor in the Department of Networking and Communication, School of Computing, SRM Institute of Science and Technology, Kattankulathur, India. He completed his Doctorate from Anna University, Chennai. His research areas include wireless sensor networks and IoT.

Dr. A. Chinnasamy is an Assistant Professor in the Department of Computer Science and Engineering SRM Institute of Science and Technology. He earned his Ph.D. from Anna University. His primary research interests include IoT, VANETs, machine learning, cyber-physical systems, and network security.

Dr. S. Sountharrajan is the Chairperson of Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Chennai Campus. He holds a Ph.D. in Information and Communication Engineering from Anna University. His expertise spans AI, machine learning, IoT, cloud computing, cybersecurity, and health informatics. He has played key roles in establishing Centers of Excellence and designing interdisciplinary AI curricula.

Dr. Amudhavel Jayavel is a Senior lecturer and researcher in deep learning, specializing in generative adversarial networks (GANs) and computational imaging. He holds a Ph.D. in Computer Science and Engineering from Pondicherry University and has won multiple national-level academic awards. Currently, he serves as a Senior Lecturer at De Montfort University, UK, and was previously a Senior Researcher at the University of Tartu, Estonia. His technical expertise includes TensorFlow, PyTorch, Keras, Python, and advanced image processing techniques.