Machine learning as core in automated processes in the healthcare industry
Artificial intelligence, together with machine learning, is a field which is being introduced in the healthcare industry, since technology researchers are cooperating to develop the present situation. The algorithms used by computers allow us to gather an enormous volume of data in a quicker and more meticulous way than medical professionals do. The information can be exploited to uncover patterns and forecasting in order to improve diagnoses, planning treatments and ameliorate public health systems.
Since there has been an actual impact in the enhancement of the healthcare system, and as a result, in so many people’s lives and money saving, the introduction of AI and machine learning has proved to be very efficient. Therefore, there have been increased investments for AI and machine learning in the healthcare industry. Leader companies such as Microsoft, as well as many start-ups and minor organizations have embarked on the creation of their own AI healthcare projects.
Another advantage, already mentioned, is money saving. According to some statistics and reports, there is an estimation of approximately 100 billion pounds of money saving each year when clinical trials and research are improved thanks to the enhanced tools and insight that ease the choices of physicians, insurers and regulators.
The algorithms that machine learning uses work better when they have big amounts of data. In a field like the healthcare industry there is plenty of data that can be exploited to make the best use of it. Various processes such as storage systems, privacy and property concerns can help data sharing amongst people. There is also an enormous quantity of information that is not exposed to analysis and that could provide valuable data for all the players in healthcare organizations.