IoMT: Transforming the Healthcare Industry

By: Valentina Gonzalez Bohorquez RIG Intern Researcher


Artificial intelligence (AI) technologies have become a global phenomenon. Research has demonstrated significant growth in digital health, as AI can assist healthcare providers, patients, and staff in many different ways. Clinical teams are shifting the way that they treat patients and diagnose diseases by utilizing Internet of Medical Things (IoMT), which is a variety of applications and medical device systems used in healthcare. By implementing telemedicine, the latest instruments, workflows, and digital tools, patient care and medical administrative processes can be optimized. Furthermore, analyzing the shared data will enable greater visibility and control of healthcare operations. This allows for better-informed decisions that can prevent or resolve issues, enable timely patient care, and deliver more effective health and wellness services.

Patient experience and mobile engagement are considered essential in the emerging healthcare environment. Studies suggest that AI technologies are driving improvements across the healthcare industry. Today, AI can perform as well as humans at disease diagnostics. According to “Global Internet of Medical Things,” it is anticipated that the IoMT market will grow by 30.8 percent annually, reaching $159.1 billion by 2022 and $254.2 billion by 2026. Smart hospitals are using these applications to accelerate the conversion of raw, sensitive data into insights. AI machine learning and deep learning are used to model and simulate a variety of tasks to achieve better outcomes.

IoMT is transforming the healthcare industry through the following divisions:


On-body IoMT includes consumer health wearables such as personal wellness or fitness activity trackers, and smart watches and garments. On the other hand, Clinical-grade wearables include regulated devices and supporting platforms that are generally certified/approved for use by health authorities, such as glucose sensors and Active Protective, which detects falls and deploys hip protection for the elderly (Chandrapal Singh, “the Future Scope of IoT in Healthcare”).


Patients can have access to Telehealth, which is a virtual medical platform where patients manage their conditions and obtain prescriptions or recommended care plans through online consultations. Remote patient monitoring (RPM) is the use of medical devices to transmit a patient’s metrics, such as blood pressure or oxygen saturation, to their doctors. Personal emergency response systems (PERS) can track events, such as a fall or heart attack, to automatically call for help.


IoMT emergency response devices are used by paramedics and first responders to track patient metrics outside non-traditional medical settings like on transit, field hospitals, and kiosks. In addition, such intelligence symptoms can be used in transport of healthcare goods or medical equipment in adequate environmental conditions.


IoMT apps and devices help to lower the cost of medical services, optimize patient outcomes and improve operational efficiency.


As IoMT takes over the healthcare industry, RIG technologies can significantly improve IoMT development. For instance, Dynamic Trust, software that evaluates trust-levels of Agents within heterogeneous networks, can contribute to safeguard shared data in an efficient and secure manner for IoMT purposes. Furthermore, the SmartTech and SmartTech Plus environment will allow AI systems to connect to RIG’s NIMBUS Private Integration Cloud to create an autonomous system. Therefore, establishing Dynamic Trust fundamental 5 levels will greatly strengthen IoMT growth.




Work Cited

“Global Internet of Medical Things (IoMT) Market Size, Share, Analysis & Industry Outlook 2016-2026.” AllTheResearch,

Steger, Andrew. “How the Internet of Medical Things Is Impacting Healthcare.” Technology Solutions That Drive Healthcare, 24 Sept. 2020,