IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device
The Internet of Medical Things (IoMT) is revolutionizing healthcare by integrating smart diagnostic devices with cloud computing and real-time data analytics. The emergence of infectious diseases, including COVID-19, underscores the need for rapid and decentralized diagnostics to facilitate early in...
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MDPI AG
2025-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/14/4426 |
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| author | Min-Gin Kim Byeong-Heon Kil Mun-Ho Ryu Jong-Dae Kim |
| author_facet | Min-Gin Kim Byeong-Heon Kil Mun-Ho Ryu Jong-Dae Kim |
| author_sort | Min-Gin Kim |
| collection | DOAJ |
| description | The Internet of Medical Things (IoMT) is revolutionizing healthcare by integrating smart diagnostic devices with cloud computing and real-time data analytics. The emergence of infectious diseases, including COVID-19, underscores the need for rapid and decentralized diagnostics to facilitate early intervention. Traditional centralized laboratory testing introduces delays, limiting timely medical responses. While point-of-care molecular diagnostic (POC-MD) systems offer an alternative, challenges remain in cost, accessibility, and network inefficiencies. This study proposes an IoMT-based architecture for fully automated POC-MD devices, leveraging WebSockets for optimized communication, enhancing microfluidic cartridge efficiency, and integrating a hardware-based emulator for real-time validation. The system incorporates DNA extraction and real-time polymerase chain reaction functionalities into modular, networked components, improving flexibility and scalability. Although the system itself has not yet undergone clinical validation, it builds upon the core cartridge and detection architecture of a previously validated cartridge-based platform for <i>Chlamydia trachomatis</i> and <i>Neisseria gonorrhoeae</i> (CT/NG). These pathogens were selected due to their global prevalence, high asymptomatic transmission rates, and clinical importance in reproductive health. In a previous clinical study involving 510 patient specimens, the system demonstrated high concordance with a commercial assay with limits of detection below 10 copies/μL, supporting the feasibility of this architecture for point-of-care molecular diagnostics. By addressing existing limitations, this system establishes a new standard for next-generation diagnostics, ensuring rapid, reliable, and accessible disease detection. |
| format | Article |
| id | doaj-art-8696fb86636740d78540540de72b94bd |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-8696fb86636740d78540540de72b94bd2025-08-20T03:56:46ZengMDPI AGSensors1424-82202025-07-012514442610.3390/s25144426IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic DeviceMin-Gin Kim0Byeong-Heon Kil1Mun-Ho Ryu2Jong-Dae Kim3Thermo Fisher Scientific, South San Francisco, CA 90080, USASchool of Software, Hallym University, Chuncheon-si 24252, Republic of KoreaDivision of Biomedical Engineering, Jeonbuk National University, Jeonju 54896, Republic of KoreaSchool of Software, Hallym University, Chuncheon-si 24252, Republic of KoreaThe Internet of Medical Things (IoMT) is revolutionizing healthcare by integrating smart diagnostic devices with cloud computing and real-time data analytics. The emergence of infectious diseases, including COVID-19, underscores the need for rapid and decentralized diagnostics to facilitate early intervention. Traditional centralized laboratory testing introduces delays, limiting timely medical responses. While point-of-care molecular diagnostic (POC-MD) systems offer an alternative, challenges remain in cost, accessibility, and network inefficiencies. This study proposes an IoMT-based architecture for fully automated POC-MD devices, leveraging WebSockets for optimized communication, enhancing microfluidic cartridge efficiency, and integrating a hardware-based emulator for real-time validation. The system incorporates DNA extraction and real-time polymerase chain reaction functionalities into modular, networked components, improving flexibility and scalability. Although the system itself has not yet undergone clinical validation, it builds upon the core cartridge and detection architecture of a previously validated cartridge-based platform for <i>Chlamydia trachomatis</i> and <i>Neisseria gonorrhoeae</i> (CT/NG). These pathogens were selected due to their global prevalence, high asymptomatic transmission rates, and clinical importance in reproductive health. In a previous clinical study involving 510 patient specimens, the system demonstrated high concordance with a commercial assay with limits of detection below 10 copies/μL, supporting the feasibility of this architecture for point-of-care molecular diagnostics. By addressing existing limitations, this system establishes a new standard for next-generation diagnostics, ensuring rapid, reliable, and accessible disease detection.https://www.mdpi.com/1424-8220/25/14/4426Internet of Medical Thingspoint-of-care diagnosticsmolecular diagnosticsreal-time PCRcloud-based architectureWebSockets |
| spellingShingle | Min-Gin Kim Byeong-Heon Kil Mun-Ho Ryu Jong-Dae Kim IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device Sensors Internet of Medical Things point-of-care diagnostics molecular diagnostics real-time PCR cloud-based architecture WebSockets |
| title | IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device |
| title_full | IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device |
| title_fullStr | IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device |
| title_full_unstemmed | IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device |
| title_short | IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device |
| title_sort | iomt architecture for fully automated point of care molecular diagnostic device |
| topic | Internet of Medical Things point-of-care diagnostics molecular diagnostics real-time PCR cloud-based architecture WebSockets |
| url | https://www.mdpi.com/1424-8220/25/14/4426 |
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