A comprehensive review published in the journal Sci concludes that the Internet of Medical Things (IoMT) is rapidly transforming healthcare delivery, diagnostics, and management, with implications for hospitals, patients, policymakers, and technology developers alike.
The study, conducted by researchers at Edge Hill University, examines the current state, architecture, applications, and challenges of IoMT technologies and argues that their integration is redefining modern healthcare infrastructure.
IoMT devices are often classified into three categories: wearable, implantable, and stationary. Devices such as smartwatches, biosensors, and implantable monitors are now routinely used to track blood pressure, glucose levels, heart rate, and more.
The health data generated by these devices can be processed through cloud computing and artificial intelligence platforms to support diagnostics, treatment decisions, and patient management. The researchers found that the use of cloud platforms, including AWS HealthLake and Google Cloud Healthcare API, has enabled the storage and analysis of large volumes of patient data. These services support interoperability, data-driven insights, and integration with electronic health records, making personalized treatment and long-term health trend analysis possible.
In practical terms, the study highlights how IoMT is already embedded in modern healthcare settings. Hospitals are increasingly using robotic systems to assist doctors and nurses, automate medication delivery, and support surgeries with precision tools.
Remote monitoring devices now allow for real-time observation of patients with chronic conditions, reducing hospital visits and enabling proactive care. In assistive living environments, IoMT platforms are designed to support elderly individuals by detecting falls, reminding them of medications, and alerting caregivers in emergencies.
【MORE】