IoMT is the new buzzing word in the healthcare industry. Healthcare IT teams are finding affordable and secure ways to keep up with their demands and capabilities.
FREMONT, CA: The Internet of Medical Things (IoMT) is the extension of the Internet of Things into healthcare. IoMT has become a necessary means for numerous modern healthcare organizations, and more is being anticipated. IT teams are planning to search for new ways to introduce this innovation in 2020, to meet clinical requirements, simultaneously maintaining budget and security.
The seriousness regarding IoMT device security in the healthcare industry
IoMT devices’ interconnectivity makes them extremely susceptible to breaches. Being wireless medical devices, they are being utilized for transmitting important patient data back to the facility through outside networks.
This kind of engagement only accelerates the potential for hacking and compromise patient’s privacy with the records at that facility.
Realizing the scale of these security gaps, healthcare IT teams have started to explore more proactive concepts for protecting their devices as well as patients, starting from the first day of an IoMT roll out.
Some are harnessing strong inventory and network monitoring solutions to handle their network security in a better way. Analysts are being provided by cognitive analytics with an in-depth view of their network, empowering them to detect and respond to threats quickly.
Others are adopting a multilayered approach by deploying various endpoint management solutions.
IoMT and AI will become more entwined
By leveraging the information that IoMT gadgets allocate, AI is increasing the effectiveness of care and reducing overall costs.
Though the adoption ofAII healthcare industry is still at its initial stages, it has already proved itself to be useful in allowing real-time, remote measurement, and analysis of patient data. Researchers from the University of Waterloo in Ontario, Canada, recently tested this approach. The study in which the heart rate, breathing, and acceleration of healthy men in their twenties were monitored, compared the shirt’s readings with their laboratory responses. It was concluded by researchers that AI can indeed make an accurate prediction of the failing health of the patient.
As AI continues to evolve and instances like these keep evolving, no wonder IoMT and AI will soon come closer together, making the daily use of AI in healthcare a reality.