Connected Diagnoses

IoT, Healthcare, and Digital Forensics

Keshav Kaushik, Aryan Chaudhary

• Publisher: Academic Press
• Year: 2026
• Topic: Biological Sciences
• eBook ISBN:
  9780443383007
• Subtopic: Biotechnology
• Index: Biological Sciences

Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. The book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. It advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety. Users will find this to be a comprehensive resource that benefits researchers and practitioners who seek to understand the convergence of medical technology, interconnected devices, and digital forensics. - Presents best practices for the authentication, encryption, and other security protocols to proactively safeguard patient data and healthcare infrastructure - Addresses a critical gap in current literature by offering practical insights and solutions for professionals working at the intersection of IoT, healthcare, and digital forensics - Explains the complexities of interrelated medical technology and clarifies how they affect cybersecurity, digital forensic investigations, and patient care

Table of contents

• Title of Book
• 1 Internet of Things and precision medicine: tailoring treatments to individual patients
• 2 Wearable technology in health care: a privacy-centric perspective
• Chapter 3 Assessing the role of wearable devices and Internet of Things in enhancing remote patient monitoring
• 4 Smart drug delivery through Internet of Things: current progress and future challenges
• 5 Implementing Internet of Things solutions in rural health care education
• 6 Security measures in Internet of Things healthcare devices
• 7 Challenges and solutions in implementing Internet of Things in rural health care
• 8 Authentic secure system in health care
• 9 The role of artificial intelligence in forensic analysis of health care data
• 10 AI-driven forensic analysis in health care: principles, applications, and ethical considerations
• 11 Internet of Things enable wearable sensors for human energy prediction healthcare model
• 12 Deep learning-based smart wearable sensors healthcare model for fitness trackers
• Index