Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis
The Internet of Medical Things (IoMT): It is changing the healthcare sector in various ways by coupling the crucial aspects of IoT to monitor and diagnose patients remotely. Existing literature regarding IoMT applications has identified the high security vulnerabilities, unrealized real-world implem...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | ITM Web of Conferences |
| Subjects: | |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_03004.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849735856741416960 |
|---|---|
| author | R Suganya P Sasikala Lavanya Chinthamalla Rashid Syed Zahidur Tiwari Mohit G Vijayakumari |
| author_facet | R Suganya P Sasikala Lavanya Chinthamalla Rashid Syed Zahidur Tiwari Mohit G Vijayakumari |
| author_sort | R Suganya |
| collection | DOAJ |
| description | The Internet of Medical Things (IoMT): It is changing the healthcare sector in various ways by coupling the crucial aspects of IoT to monitor and diagnose patients remotely. Existing literature regarding IoMT applications has identified the high security vulnerabilities, unrealized real-world implementations, poor scalability, and high latency, but there are no proposed solutions to these challenges. It presents a robust Internet of Medical Things (IoMT) architecture which is real-time, secure, scalable, and enables remote health monitoring. By leveraging edge computing, AI, and blockchain-based security, the framework improves data privacy, reduces latency, and increases energy efficiency. In contrast to earlier studies that discuss specific conditions, the current work generalizes IoMT applications for a variety of ailments, enabling personalized healthcare solutions through artificial intelligence (AI)–driven analytics. In addition, the proposed system is designed to be interoperable such that it supports seamless integration across different IoT healthcare devices. Using predictive analytics, this system facilitates early disease detection and preventative healthcare action, fostering better patient outcomes and fewer hospital visits. This study also presents the design of an energy-efficient IoMT network to prolong the lifetime and viability of IoMT devices. In conclusion, this research expands on the future of remote healthcare by providing solutions to the scalability, privacy and real-time decision-making challenges, thereby developing an IoMT system that is robust, future-proof and adaptable to smart healthcare applications. |
| format | Article |
| id | doaj-art-9decc18cb3f34f4689bdb81c5e22b79e |
| institution | DOAJ |
| issn | 2271-2097 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-9decc18cb3f34f4689bdb81c5e22b79e2025-08-20T03:07:27ZengEDP SciencesITM Web of Conferences2271-20972025-01-01760300410.1051/itmconf/20257603004itmconf_icsice2025_03004Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and DiagnosisR Suganya0P Sasikala1Lavanya Chinthamalla2Rashid Syed Zahidur3Tiwari Mohit4G Vijayakumari5Associate Professor, Department of Computer Science and Engineering (Data Science), New Horizon College of EngineeringAssistant Professor, Department of Information Technology, EASA College of Engineering & TechnologyAssistant Professor, Department of CSE, CVR College of EngineeringDepartment of Electronic and Telecommunication Engineering, International Islamic University ChittagongAssistant Professor, Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of EngineeringAssistant Professor, Department of ECE, New Prince Shri Bhavani College of Engineering and TechnologyThe Internet of Medical Things (IoMT): It is changing the healthcare sector in various ways by coupling the crucial aspects of IoT to monitor and diagnose patients remotely. Existing literature regarding IoMT applications has identified the high security vulnerabilities, unrealized real-world implementations, poor scalability, and high latency, but there are no proposed solutions to these challenges. It presents a robust Internet of Medical Things (IoMT) architecture which is real-time, secure, scalable, and enables remote health monitoring. By leveraging edge computing, AI, and blockchain-based security, the framework improves data privacy, reduces latency, and increases energy efficiency. In contrast to earlier studies that discuss specific conditions, the current work generalizes IoMT applications for a variety of ailments, enabling personalized healthcare solutions through artificial intelligence (AI)–driven analytics. In addition, the proposed system is designed to be interoperable such that it supports seamless integration across different IoT healthcare devices. Using predictive analytics, this system facilitates early disease detection and preventative healthcare action, fostering better patient outcomes and fewer hospital visits. This study also presents the design of an energy-efficient IoMT network to prolong the lifetime and viability of IoMT devices. In conclusion, this research expands on the future of remote healthcare by providing solutions to the scalability, privacy and real-time decision-making challenges, thereby developing an IoMT system that is robust, future-proof and adaptable to smart healthcare applications.https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_03004.pdfiomtreal-time health monitoringiot applications in healthcareedge computing in healthcareartificial intelligence in healthcarepredictive analytics in healthcare iot |
| spellingShingle | R Suganya P Sasikala Lavanya Chinthamalla Rashid Syed Zahidur Tiwari Mohit G Vijayakumari Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis ITM Web of Conferences iomt real-time health monitoring iot applications in healthcare edge computing in healthcare artificial intelligence in healthcare predictive analytics in healthcare iot |
| title | Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis |
| title_full | Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis |
| title_fullStr | Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis |
| title_full_unstemmed | Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis |
| title_short | Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis |
| title_sort | internet of medical things integrating iot with healthcare for remote monitoring and diagnosis |
| topic | iomt real-time health monitoring iot applications in healthcare edge computing in healthcare artificial intelligence in healthcare predictive analytics in healthcare iot |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_03004.pdf |
| work_keys_str_mv | AT rsuganya internetofmedicalthingsintegratingiotwithhealthcareforremotemonitoringanddiagnosis AT psasikala internetofmedicalthingsintegratingiotwithhealthcareforremotemonitoringanddiagnosis AT lavanyachinthamalla internetofmedicalthingsintegratingiotwithhealthcareforremotemonitoringanddiagnosis AT rashidsyedzahidur internetofmedicalthingsintegratingiotwithhealthcareforremotemonitoringanddiagnosis AT tiwarimohit internetofmedicalthingsintegratingiotwithhealthcareforremotemonitoringanddiagnosis AT gvijayakumari internetofmedicalthingsintegratingiotwithhealthcareforremotemonitoringanddiagnosis |