⚡ Quick Summary
This study investigates the integration of Internet of Things (IoT) technology with biosensors for the real-time monitoring and early detection of chronic diseases. The findings highlight the potential for personalized healthcare and significant cost reductions in managing these conditions.
🔍 Key Details
- 📊 Focus: Integration of IoT and biosensors in healthcare
- 🧩 Applications: Remote patient monitoring, cardiac health, glucose management, elderly care
- ⚙️ Methodology: Systematic review of literature from 2014 to 2024
- 🏆 Key Findings: Enhanced accuracy, efficiency, and ethical practices in healthcare
🔑 Key Takeaways
- 🌐 IoT-enabled biosensors can transform chronic disease management.
- 💡 Real-time monitoring allows for proactive healthcare interventions.
- 📉 Cost reduction is a significant benefit of this technology.
- 👩⚕️ Personalized care improves patient outcomes and satisfaction.
- 🔍 Ongoing advancements in technology promise to enhance healthcare delivery.
- 🌍 Global challenge: Chronic diseases are a major healthcare burden worldwide.
- 🤖 Future directions include miniaturization and AI-driven analytics.
📚 Background
Chronic diseases, characterized by their prolonged duration and gradual progression, pose a significant challenge to healthcare systems globally. The integration of IoT technology with biosensors offers a promising solution to enhance patient care through real-time monitoring and early detection of these conditions. This convergence aims to address the limitations of traditional healthcare monitoring systems.
🗒️ Study
This comprehensive review analyzed literature from reputable databases, including IEEE Xplore, PubMed, and Elsevier’s ScienceDirect, focusing on studies published between 2014 and 2024. The research aimed to assess the current advancements, challenges, and future directions in the integration of IoT and biosensors for chronic disease management.
📈 Results
The study revealed that the integration of IoT and biosensors facilitates personalized healthcare, enabling early detection and remote management of chronic diseases. Applications such as remote patient monitoring and glucose management were highlighted, showcasing the potential for improved patient outcomes and reduced healthcare costs.
🌍 Impact and Implications
The findings of this research underscore the transformative potential of IoT-enabled biosensors in healthcare. By providing continuous insights into patients’ health, these technologies enable proactive interventions, ultimately advancing precision medicine and improving overall patient care. The implications extend beyond individual health, addressing a global challenge in chronic disease management.
🔮 Conclusion
The integration of IoT-enabled biosensors represents a significant breakthrough in addressing the challenges posed by chronic diseases. This study highlights their potential to facilitate real-time monitoring, early detection, and personalized care, paving the way for a more proactive and patient-centric healthcare era. Continued advancements in technology will further enhance the accuracy and efficiency of these systems, promising a brighter future for healthcare.
💬 Your comments
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IoT-enabled biosensors for real-time monitoring and early detection of chronic diseases.
Abstract
PURPOSE: The main objective of this study is to examine and highlight the substantial impact of integrating Internet of Things (IoT) technology and biosensors in the healthcare sector, focusing on their potential to drive substantial advancements and improvements in healthcare. Emphasis is placed on tackling the global challenge posed by chronic diseases by proposing an all-encompassing healthcare system that facilitates real-time monitoring, early detection, and remote management of these conditions. Chronic diseases, distinguished by their prolonged duration and gradual progression, have emerged as a marked challenge for healthcare systems worldwide. This paper seeks to illustrate how biosensors, with the capability to identify specific biomarkers, can play a pivotal role in delivering personalized patient care, enhancing outcomes, and mitigating healthcare expenses.
METHODS: This review was conducted using a systematic and comprehensive approach to analyze the integration of Internet of Things (IoT) technology with biosensors for real-time monitoring and early detection of chronic diseases. Relevant literature was sourced from reputable databases, including IEEE Xplore, PubMed, and Elsevier's ScienceDirect, focusing on studies published between 2014 and 2024. Keywords such as “IoT in healthcare,” “biosensors for chronic diseases,” and “real-time monitoring systems” guided the selection process. This review included original research articles, review papers, and case studies, which were critically analyzed to assess current advancements, challenges, and future directions in this interdisciplinary field. The findings were synthesized to provide an in-depth understanding of how IoT-enabled biosensors are transforming healthcare, particularly in chronic disease management.
RESULTS: This research explores the integration of IoT and biosensors for real-time monitoring of chronic diseases. The combination offers personalized healthcare, early detection, and cost reduction. Applications include remote patient monitoring, cardiac health, glucose management, and elderly care. Despite challenges, ongoing advancements promise to optimize accuracy, efficiency, and ethical soundness, ushering in a patient-centric healthcare era.
CONCLUSION: The integration of IoT-enabled biosensors approach to addressing global challenges posed by chronic diseases. This study highlights the potential of this convergence in healthcare by facilitating real-time monitoring, early detection, and personalized care. By surpassing limitations of traditional monitoring systems, IoT-enabled biosensors provide continuous insights into patients' health, enabling proactive interventions. Their applications are demonstrated in diverse domains, including remote monitoring, cardiac health, glucose management, and elderly care, showcasing their role in advancing precision medicine and improving patient outcomes. Despite technical hurdles, ongoing advancements in miniaturization, edge computing, and AI-driven analytics aim to enhance accuracy, efficiency, and ethical practices, paving the way for a proactive and patient-centric healthcare era.
Author: [‘Hosain MN’, ‘Kwak YS’, ‘Lee J’, ‘Choi H’, ‘Park J’, ‘Kim J’]
Journal: Phys Act Nutr
Citation: Hosain MN, et al. IoT-enabled biosensors for real-time monitoring and early detection of chronic diseases. IoT-enabled biosensors for real-time monitoring and early detection of chronic diseases. 2024; 28:60-69. doi: 10.20463/pan.2024.0033