Telemedicine and Remote Patient Monitoring
Abstract
Telemedicine and remote patient monitoring (RPM) are revolutionizing modern healthcare by enhancing accessibility, improving patient outcomes, and reducing costs. This chapter explores the transformative potential of these technologies, driven by advancements in wearable devices, Internet of Things (IoT) integration, and artificial intelligence (AI)-powered analytics. It delves into the technological infrastructure enabling telemedicine and RPM, including communication platforms, wearable devices, and data management systems. The chapter examines clinical applications across various specialties, emphasizing their role in chronic disease management, postoperative care, and rural healthcare. Benefits such as improved patient engagement, reduced healthcare costs, and enhanced clinical decision-making are discussed. It also addresses regulatory hurdles, privacy concerns, and technological barriers. The evolving landscape of reimbursement policies and their impact on adoption is explored. Case studies illustrate successful implementations and lessons learned. The chapter concludes by discussing future trends, including AI integration, personalized medicine, and the role of telemedicine and RPM in global health initiatives. We emphasize the importance of evidence-based practice and the need for ongoing research to optimize these technologies&s; use in healthcare delivery. By providing a comprehensive overview, this work aims to inform healthcare providers, policymakers, and researchers about the opportunities and implications of telemedicine and RPM.
Fields of Study & Subjects
Telemedicine and Telehealth Implementation
Mobile Health and mHealth Applications
Artificial Intelligence in Healthcare and Education
Publication details
- Journal / source
- Artificial Intelligence in Smart Healthcare Systems
- Publisher
- CRC Press
- Pages
- 124–134
- Publication date
- 20 February 2026
- Language
- EN
- Document type
- Book chapter