A Review of IoT-Enabled Patient Monitoring Systems: Design Challenges and Future Prospects in EEE-Based Healthcare
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Abstract
Background: Internet of Things (IoT) based patient monitoring system in Bangladesh has been expanding rapidly over the past two decades. This article aims to show the future of IoT based patient monitoring system where the maturity level of technology, design challenges, research publications went from nascent stage to a more mature stage along with specific challenging aspects in context of Bangladesh. Methods: For the period from 2000 to 2024, a dataset was compiled using official data from government sources and international journals, for example, CIRT, IEOM Society, DGHS, JUNIV, ResearchGate and The Daily Star. The Number of IoT Deployments, Technology Maturity Level, Design Challenges, Data Security Concerns, Research Publications, Future Prospects, Global Connected IoT Devices (billions), Global IoT Spending/Market Value (USD billions) were included. Relationships were explored by descriptive statistics, trend analysis, and correlation assessment. Results: While data security risks are very high (weak authentication, insecure APIs, supply chain risks, AI-driven attacks), the technological advancement grows mature. Global market value reached USD 714.48 billion, with 18-24.4 billion connected devices surging in 2024, and is expected to grow further. Research work and deployment of IoT were plotted by year and showed an exponentially increasing curve. Despite infrastructure and security challenges in Bangladesh, high demand exists (81.61% cardiovascular patients). Edge computing is now more developed. Conclusion: In rural Bangladesh, 1.43 doctors per 10,000 people are available, creating a strong demand for telemedicine, with 92.42% of patients and 94.80% of expert doctors expressing a desire for such services. IoT based monitoring system are playing a vital role as real-time data collection will detect chronic diseases, improve medication. Integration of Artificial Intelligence, Machine Learning and Edge Computing will analyze the patient’s data, predict diagnostics according to individual treatment plans.
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Publication Details
- Type of Publication:
- Conference Name: 1st National BioMed Health ResearchCon (NBHRC) 2025
- Date of Conference: 28/08/2025 - 28/08/2025
- Venue: Dr. Milon Auditorium, Dhaka Medical College
- Organizer: Dhaka Medical College Research and Academic Club