Scaling Digital Healthcare with AI, ML, and IoT

Scaling Digital Healthcare with AI, ML, and IoT

Healthcare Tech Outlook | Saturday, December 15, 2018

As the latest technological trends continue to spread throughout the global healthcare industry, the healthcare organizations offer a range of new innovative solutions to enhance patient care. The emergence of several smart devices in healthcare have created a more effective connection between the doctors and the patients, enabled a real-time data transmission, and better medication and diagnosis. IoT implementations in medical devices are not only used in the diagnostic areas but also in managing the environments for growing the applications in self-monitoring, rather than being available in hospitals alone.

According to a Deloitte’s report, the global annual healthcare spending is expected to reach $8.7 trillion in 2020.

AI and ML technologies have shown great results in complex treatment areas like joint replacement, spinal surgery, and behavioral health, and are promising enough to advance treatment and demonstrate results across a variety of conditions. The main advantage of IoT for patients is convenience and fast access to essential information to prevent emergency conditions. These technological applications make the patient care much easier, and it provides lesser complicated tasks to facilitate it. In this scenario, more patients are ready to take control over the medical device and monitor themselves if the devices are easier to use.

All the current technological applications like AL, ML, IoT, and big data are greatly disrupting the modern healthcare industry, and they provide various solutions that eliminate risks, improve efficiency, and decrease the chances of errors.

Medical image processing technologies like X-ray, MRI, and computed tomography play a great role in diagnostics. With these technologies, the doctors will be able to find disease earlier so that it can be cured sooner than usual.

Machine learning, as a subset of AI, analyzes the patterns of previous data and creates predictions of the basis of those patterns. Today, machine learning technologies are largely adopted by healthcare organizations with a major aim to help medical doctors predict and recognize the diseases and prevent them from growing further. The IoMT (Internet of Medical Things) has an adaptation in the field of healthcare with its high-end technological advancements as well as its smart wearable devices such as ECG monitors.

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