Introduction
Innovation in Healthcare Technology and Management explores the role of artificial intelligence, mobile health systems, wearable devices, blockchain, and automation to improve healthcare delivery, clinical decision-making, and patient engagement, while addressing challenges such as data security, privacy, and technology adoption.
The book consists of twelve chapters that combine theory with practical applications. It covers mobile health solutions, AI adoption in medicine, wearable technologies, smart medical devices, and automation in patient care. It also examines blockchain for secure healthcare data and presents analytical frameworks, including AI-driven models and decision-support systems. The final chapters highlight real-world implementations such as health apps and predictive systems for patient care.
Key Features
- - Covers AI, mobile health, wearables, blockchain, and automation in healthcare.
- - Combines theoretical concepts with real-world applications.
- - Focus on data security, privacy, and technology adoption.
- - Includes analytical and decision-support frameworks.
- - Emphasises personalised and digital healthcare solutions.
Target Readership :
Researchers, academics, students and professionals in healthcare informatics, computer science, biomedical engineering, and digital health.