Modern medicine has recently hit an all-time high. Today, the healthcare domain is a high-tech industry, where different medical fields are successfully developing, saving lives of patients with not-yet-curable diseases.
Artificial intelligence, drones and robots are gradually becoming familiar tools in healthcare. Modern technologies are used to diagnose diseases, treat, monitor, transport blood and medications.
It is also difficult to imagine healthcare future without the Internet of Things (IoT).
The Internet of Things is already revolutionising healthcare, pathologies diagnosis and treatment. Healthcare IoT is known as the Internet of Medical Things (IoMT). It’s an array of medical devices and applications, connected to healthcare IT systems through online computer networks. Thereby, medical devices equipped with Wi-Fi allow the machine-to-machine communication.
Adoption rates of IoMT-enabled devices will grow up rapidly worldwide.
Every instant gigabytes of data are generated by IoMT devices and sent to linked cloud platforms, on which captured data can be stored and put to further analysis. To increase operational efficiency, medical staff satisfaction, while enhancing patient safety, healthcare providers now need to refresh their vision of medical data. This means predictive and prescriptive analytics and ultimately artificial intelligence, cognitive computing and machine learning.
Machine learning as a computer science field plays an important role in the IoT technologies.
Using a conjunction of IoMT devices and machine learning is good approach nowadays. When we talk about an IoT product, it mostly implies that the data collected through it will be processed with the help of artificial intelligence. Machine learning today gives us the opportunity to thoroughly analyse thousands of patient files and records. It speeds up time in the lab and access of care to patients.
Doctors are often deluged by signals from charts, test results, and other metrics to keep track of. It is sometimes truly challenging to integrate and follow all these multiple patients data, while making real-time treatment decisions, especially when data is documented inconsistently across hospitals. AI-powered systems help doctors make better medical decisions. In ideal situation, Doctor's only task would be to concentrate on the patient’s problem!
Most probably very soon one of us might have his first interaction with a medical artificial intelligence (AI) system. But it does not mean that patients will be treated by a non-human healthcare worker, or anyway, it won't happen very soon. We are still in early era of adopting the IoMT and artificial intelligence in healthcare.
The central place in the treatment will be occupied by specialists - doctors and medical personnel, as before, but IoMT devices and AI systems will make their work more efficient.