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Transformative Technologies in Healthcare - Advancing Patient-Centered Care

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About the Book

This book explores the transformative impact of emerging technologies, including the Internet of Things (IoT), wearable devices, artificial intelligence (AI), telemedicine, and remote monitoring systems, on advancing patient-centered care. This book addresses the central question: How can these technologies improve clinical outcomes, enhance healthcare delivery, and empower patients? In an era where digital innovations are reshaping healthcare—from diagnosis and treatment to preventive care and chronic disease management—this book also critically examines the security, privacy, and ethical challenges associated with their adoption. Wearable devices and IoT-enabled systems have become integral to modern healthcare, enabling continuous monitoring of vital signs, activity levels, and other health metrics. These tools facilitate early detection of health issues, support personalized care, and allow healthcare providers to monitor patients remotely. By integrating data from wearables and IoT devices with electronic health records (EHRs), healthcare professionals can gain a holistic view of patient health, leading to more informed decision-making and improved outcomes.

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This book is designed for a broad audience, including postgraduates, researchers, and advanced undergraduates in disciplines such as computer science (with a focus on healthcare informatics), biomedical engineering, data science, and medical ethics. It also serves as a valuable resource for medical practitioners, healthcare IT professionals, hospital administrators, clinical data analysts, AI developers, cybersecurity experts, and product managers in healthcare technology. Structured to provide a comprehensive overview of transformative technologies in healthcare, this book highlights their potential while addressing ethical, legal, and societal implications. Chapters explore critical issues such as patient data collection, storage, and utilization, as well as the biases embedded in AI and IoT systems that may perpetuate healthcare disparities. By examining the benefits and limitations of these technologies in global health systems, this book equips healthcare providers, patients, and stakeholders with a deeper understanding of their opportunities and challenges.

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Ultimately, Transformative Technologies in Healthcare aims to bridge the gap between innovation and patient-centered care, offering insights into how IoT, wearables, AI, and other digital tools can drive equitable, secure, and effective healthcare solutions for the future.

List of Topics

  • Introduction to Transformative Technologies in Healthcare

    • Evolution of digital healthcare innovations

    • The role of emerging technologies in patient-centered care

    • The shift from traditional to technology-driven healthcare models

    • Challenges in integrating digital health solutions

  •  The Internet of Things (IoT) in Healthcare

    • Overview of IoT-enabled healthcare systems

    • IoT sensors for real-time health monitoring

    • Interoperability and connectivity challenges in IoT healthcare networks

    • Future trends in IoT-based healthcare applications

  • Wearable Health Devices and Their Clinical Impact

    • Types of wearable devices for health monitoring

    • The role of wearables in chronic disease management

    • Wearable technology for mental health and stress management

    • Limitations and challenges in wearable healthcare solutions

  • Artificial Intelligence in Healthcare: Opportunities and Challenges

    • AI-powered diagnostics and predictive analytics

    • AI-driven personalized medicine and treatment plans

    • Challenges in AI model training, bias, and fairness

    • Regulatory and ethical concerns in AI adoption

  • Remote Patient Monitoring and Telemedicine

    • Advances in telehealth and virtual consultations

    • Benefits of remote monitoring for chronic diseases

    • Challenges in telemedicine infrastructure and access

    • Telehealth in rural and underserved areas

  • Big Data and Analytics in Healthcare

    • Role of big data in clinical decision-making

    • Integration of wearable and IoT data with EHR systems

    • Predictive analytics for early disease detection

    • Data-driven personalized treatment plans

  • Cybersecurity in Digital Healthcare Systems

    • Common threats to healthcare IT security

    • Best practices for securing IoT and wearable device networks

    • Protecting electronic health records (EHRs) from cyberattacks

    • Future directions in healthcare cybersecurity research

  • Privacy and Ethical Considerations in Healthcare Technology

    • Data privacy regulations and compliance (HIPAA, GDPR)

    • Ethical concerns in AI and IoT-based healthcare solutions

    • Informed consent in digital health interventions

    • Balancing patient data access and security

  • Blockchain for Secure Healthcare Data Management

    • Introduction to blockchain technology in healthcare

    • Use of blockchain for securing patient records and transactions

    • Smart contracts for healthcare data sharing

    • Challenges and limitations of blockchain adoption in healthcare

  • Digital Therapeutics and Smart Healthcare Interventions

    • Definition and applications of digital therapeutics

    • AI-driven behavioral health interventions

    • Role of digital therapeutics in mental health management

    • Regulatory considerations for digital therapeutics

  • Robotics and Automation in Healthcare

    • Surgical robots and robotic-assisted procedures

    • AI-powered rehabilitation and assistive robots

    • Role of automation in hospital management

    • Ethical considerations of robotics in patient care

  • Edge Computing and Cloud Computing for Healthcare Applications

    • Cloud-based healthcare data storage and sharing

    • Edge computing for real-time health monitoring

    • Security challenges in cloud and edge computing for healthcare

    • Future innovations in healthcare computing infrastructure

  • 13. Smart Hospitals and Connected Healthcare Ecosystems

    • Characteristics of smart hospitals

    • IoT-enabled hospital management systems

    • AI-driven workflow optimization in healthcare facilities

    • Challenges in building connected healthcare ecosystems

  • The Role of Digital Twins in Healthcare

    • Understanding digital twin technology

    • Applications of digital twins in personalized medicine

    • Digital twin models for surgical simulations

    • Challenges and limitations of digital twin adoption in healthcare

  • Augmented Reality (AR) and Virtual Reality (VR) in Healthcare

    • AR-assisted surgeries and medical training

    • VR applications in mental health therapy and rehabilitation

    • The role of AR/VR in patient education

    • Challenges in scaling AR/VR adoption in healthcare

  • Addressing Healthcare Disparities Through Technology

    • The digital divide and its impact on healthcare equity

    • AI bias and algorithmic fairness in healthcare

    • Strategies for making digital health solutions more accessible

    • Case studies on technology-driven healthcare inclusivity

  • Regulatory Frameworks for Digital Healthcare Innovations

    • Overview of international healthcare regulations (FDA, EMA, WHO)

    • Compliance challenges for AI, IoT, and wearables in healthcare

    • Legal risks and responsibilities in digital healthcare

    • Future trends in regulatory policies for health tech

  • Ethical AI and Responsible Innovation in Healthcare

    • Fairness and accountability in AI-driven healthcare systems

    • Ethical considerations in data collection and patient monitoring

    • Responsible AI development for medical applications

    • Case studies on ethical AI implementations in healthcare

  • Future Directions and Emerging Trends in Healthcare Technology

    • The next wave of AI-driven healthcare innovations

    • The future of decentralized healthcare and home-based care

    • Emerging technologies in pandemic response and crisis management

    • Predictions for healthcare technology advancements over the next decade

  • Conclusion and Policy Recommendations

    • Key takeaways on transformative healthcare technologies

    • Policy recommendations for ensuring equitable and secure digital health solutions

    • The role of interdisciplinary collaboration in healthcare innovation

    • Final thoughts on the future of patient-centered digital healthcare

Submission Guidelines

  • All papers must be original and not simultaneously submitted to another book, journal, or conference.

  • Submit an initial proposal, including the title of the chapter and the abstract of the proposed chapter. The deadline for submission of the initial proposal (500 words) is March 30, 2025.

  • Submit your proposal through the following link:

https://forms.office.com/r/cghKVtcJZi?origin=lprLink

                                     

  • The full chapter is due by June 30, 2025.

  • The length of the chapter should be 5,000-6,000 words.

  • The paper should be formatted according to the template provided, and the chapter should use the numbered style of references. 

Chapter Template

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  • Feel free to email us if you have questions or want feedback on your proposed research question: philip_eappen@cbu.ca

  • You may also contact us via professional social media at:


               https://www.linkedin.com/in/drphilipeappen/

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               https://www.linkedin.com/in/drvajjhala/

Important Dates

Proposal Submission Deadline:   March 30, 2025
Full Chapter Submission:             June 30, 2025
Review Results Returned:            August 30, 2025
Final Chapter Submission:           September 30, 2025

Editors

Dr. Philip Eappen, BSN, MBA, and PhD Healthcare Management

Assistant Professor, Healthcare Management
Cape Breton University,

Sydney,  Canada 
Email: philip_eappen@cbu.ca   

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Assoc. Prof. Narasimha Rao Vajjhala

Chair, Computer Science Department,​

American University in Bulgaria,

Blagoevgrad, Bulgaria

Email: nrao@aubg.edu

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Dr. Virginia Gunn
Assistant Professor, School of Nursing
Cape Breton University,

Sydney,  Canada 

Email: virginia_gunn@cbu.ca

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Assoc. Prof. Dimitrios Zikos

Ph.D. Health Informatics, M.Sc., B.S. Nursing, 

Associate Professor 

Texas Tech University, 

2500 Broadway W, Lubbock, TX 79409, United States

Email: dzikos@ttuhsc.edu

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© 2023 by Assoc. Prof. Narasimha Rao Vajjhala

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