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IoMT is the new buzz word in the healthcare sector. Healthcare IT teams are looking for cost-effective and safe ways to meet their expectations and capabilities.
FREMONT, CA: The Internet of Medical Things (IoMT) is the expansion of the Internet of Things (IoT) into health care. In the case of many modern healthcare organizations, IoMT has become a necessary instrument, and more is being expected from it. IT teams intend to find new ways of introducing this innovation in 2020 in order to meet clinical demands and maintain budget and security at the same time.
The severity of IoMT device protection in the medical industry, IoMT devices' interconnectivity renders them highly vulnerable to breaches. As wireless medical devices, they are used to transmit crucial patient data to the facility via external networks.
This kind of engagement only speeds up the hacking potential and compromises the privacy of patients with the records at that facility.
Aware of the scale of these security deficiencies, healthcare IT teams have begun to explore more proactive concepts for the safety of their devices and patients from the very first day of IoMT implementation.
Some employ strong inventory and network monitoring solutions to better deal with their network security. Analysts receive a thorough overview of their network through cognitive analytics, which enables them to detect and respond to threats quickly.
Some adopt a multi-faceted approach through the use of multiple endpoint management solutions.
IoMT and AI will become more intertwined
Using the information provided by IoMT gadgets, AI improves the efficiency of care and reduces overall cost.
While AI is still in its initial stages, its implementation has already proven to be useful in allowing patient data to be calculated, measured in real-time, and analyzed remotely. This method was recently tested by researchers at the University of Waterloo, Ontario, Canada. The study that monitored the heart rate, breathing, and speed of healthy men in their twenties compared the readings of the shirts to their laboratory responses. Researchers have concluded that AI can effectively predict the patient's poor health accurately.
As AI continues to evolve and instances like these continue to grow, no wonder IoMT and AI will get closer together shortly, rendering the daily use of AI in the healthcare a reality.
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