The revolution of the use of AI in Healthcare

The use of AI in healthcare

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Photo: Possessed Photography

AI is being used more and more in the field of healthcare all around the world. Although its usage is getting increased, there are still areas in which AI can improve and further develop. In this article, we are going to take a look at the revolution of the use of AI in healthcare. Furthermore, we will examine the new, innovative ways in which AI has been implemented in the healthcare systems of today.

AI through time and what it is

First of all, we should start by defining what the term AI really means and refers to. So, essentially, AI refers to the simulation of human intelligence by machines, specifically computer systems. Therefore, these machines and software have the ability to mimic the human brain in terms of various cognitive functions, decision-making, problem-solving, and overall learning, and growth. Most of the AI relies on machine learning, deep learning, and natural language processing. With natural language processing, we have created a gap that can bridge together human communication and computer understanding. Basically, AI has the ability to extract the meaning from human interaction and apply it to learn and expand as well as increase its effectiveness. This is why AI has been so useful in healthcare systems around the world.

Machine learning essentially teaches a computer how to learn as a human does. On the other hand, deep learning is a focused expansion of machine learning that enables systems to group data and make predictions with greater accuracy. The first usage of AI in healthcare dates back to the 1970s. It was originally applied to biomedical problems. In recent years, the different use of AI in healthcare expanded and is constantly developing. A new healthcare revolution is definitely taking place in our time. The most popular AI technologies implemented in healthcare systems around the world today are exactly the three we have mentioned: machine learning, modern deep learning, and natural language processing. So, let us now take a look at how these implementations of AI have helped healthcare, and what are some of their main advantages and benefits.

The use of AI in healthcare

To begin with, let us take a look at the use of AI in diagnostics in healthcare. When it comes to diagnostics, AI has given healthcare services providers and healthcare professionals the ability to provide more accurate diagnostics for all kinds of diseases. One of the best examples is gene expression. These diagnostic tools can be analyzed using machine learning where abnormalities are detected by an algorithm. Nowadays, AI is also being utilized more and more in biomedical tests and research. So, diagnosis and treatment applications are some of the most common uses of AI in healthcare. In addition to this, AI has a great number of administrative applications as well.

The new, innovative uses of AI in healthcare systems

A natural language processing engine that focuses solely and is built only for healthcare interactions, can help healthcare service providers know and understand their patients and their needs better. A proprietary natural language processing engine built for healthcare interactions can also greatly improve patients' trust and patient-doctor relationships. This kind of engine has the ability to constantly expand and develop. That is one of its strongest advantages. However, it also comes with other benefits as well. AI software learns from its mistakes. Once a mistake has been made or marked, it cannot make the same mistake again. In addition to this, AI has the ability to function 24/7, unlike humans. This gives healthcare services providers a great number of different application uses and options when dealing with patients

AI can also be used in communication with patients. Of course, at first, there were many doubts as to how capable AI would be in having a conversation with patients. However, as mentioned already, when it is built to manage healthcare interactions it has the ability to focus on only that and expand on each interaction. A chatbot, for example, will not be able to communicate with patients any more than give them the basic FAQ kind of dialogue. However, a natural language processing engine in healthcare can learn and expand its communication with patients to new levels. One of the biggest advantages is its ability to create a more personal approach to each patient. As we know, each patient is different and has different needs. Therefore, AI can learn from each separate patient and form a new type of approach during the next interaction, based on what that particular patient likes and does not like.

In combination with various digital tools and platforms, AI can truly enhance the experience of a patient. Using digital tools, and AI, health care service providers can enjoy a wide range of different, quality proactive services that help them and their patients. For example, with the use of AI, confirmation services, that aim to confirm appointments as well as overall scheduling and rescheduling are a lot easier, faster, and more accessible to patients. The relief on the front desk team is huge and since the AI has the ability to function 24/7, there is no need for call centers. Aside from that, a great focus can be put on medical blocks, preventive campaigns , and the overall waiting list to improve the patient's healthcare journey.

AI implementation and revolution in healthcare - Conclusion

As we can see, the implementation of AI in healthcare was slow at first and needed some time to develop. However, nowadays, the use of AI is only increasing. This is of course not only related to healthcare but other branches as well. AI still has many areas in which it can be improved upon. Overall, the main uses of healthcare nowadays facilitate its advantages and show why it is so crucial to the healthcare systems around the world. AI not only makes things easier for healthcare service providers but AI also helps strengthen patient relationships and communication through the usage of numerous digital tools and different applications in healthcare.

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