The promises and challenges of the implementation of AI in Health in Chile/World

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Artificial intelligence for healthcare systems around the world presents potential solutions to a lot of different problems. However, although there are promises of solving solutions in healthcare, the implementation of AI in health not only in Chile but also around the world comes with many challenges as well. In this article, we are going to take a look at some of the main promises and challenges of the implementation of AI in health systems.

Machine learning and natural language processing AI systems can provide the biggest benefits

To begin with, let's take a look at how exactly AI can help health clinics. There are a few leading AI technologies that are standing out from the rest of the AI systems. AI technologies that use machine learning and natural language processing have the biggest potential and ability to help out health clinics both locally and across the globe.

These two sets of techniques allow AI to essentially mimic and model the way that neurons interact in the brain. By using machine learning and natural language processing(NLP for short) AI can interact with patients and help clinics with numerous administrative tasks. So, has this kind of AI been utilized efficiently? And if so, how did it benefit health clinics and patients? To examine this, we should take a closer look at Patricia a proprietary natural language processing engine built 100% to manage and perform healthcare interactions.

The main promises that come with AI systems in healthcare

The main promise that comes with the use of AI in healthcare is a faster and more efficient flow of patients. In addition to this, AI aims to enable patients a more enjoyable healthcare journey overall. Essentially, over the last couple of years, health clinics in Chile but also globally as well have seen an enormous increase in patients. This has caused many problems such as long waiting times, slow call centers, not enough agents, and booked appointments with a ton of no-shows. An effectively deployed AI system seeks to combat these issues directly and efficiently with innovative methods and techniques such as the above-mentioned machine learning and NLP.

The benefits of utilizing AI such as Patricia in healthcare

So, we have said that Patricia is a perfect example of AI being utilized in healthcare efficiently. Why is this the case? If we take a look at some of the current, major problems health clinics in Chile but also around the world have, we can list issues such as long waiting times, inefficient call centers, difficult scheduling processes, a lot of no-show patients, and so on. Patricia manages to effectively solve all of these issues for clinics that use it with the use of machine learning and NLP combined with a trained team of dedicated experts who train and optimize it.

Using new and innovative technologies and digital services, patients can access their healthcare professionals with ease and very quickly thanks to AI systems such as Patricia. This kind of AI enables a constant flow of patients and can communicate with patients completely naturally and in a human-like manner, unlike regular chatbots. Therefore, patients feel as if they are talking to a real person and forming a meaningful connection. All of this is possible thanks to the advanced NLP engine that powers it. With it and of course, with its ability to constantly learn and expand, Patricia understands human language and learns it just like a regular human being would. It has the ability to collect an enormous amount of data which helps it grow and expand. The team of trained experts behind it is always there to provide support, and updates, train AI, and monitor its interactions.

All of this allows for easier and more efficient communication with patients. However, in addition to this, AI such as Patricia also helps clinics with many administrative tasks. This allows clinics a lot of breathing room and more time to focus on the patients while AI handles scheduling, rescheduling, and doctor's agendas track potential no-shows, and react to them immediately.

The challenges that come with the implementation of AI in healthcare

Now that we have covered the major benefits and promises of the use of AI in health clinics, let's take a look at some of the challenges as well. First of all, it is extremely important that the AI system has a strong and dedicated team behind it. Human work alongside AI work is necessary for perfect results in healthcare. Although not exactly a challenge, we can safely say that it is a big necessity. A major challenge would be building trust for AI systems in the healthcare process. Health clinics need to be able to present AI in such a way that it makes sense to patients and provides a valid alternative to call centers and agents for scheduling and rescheduling for example.

Transformation of the current health system also needs to happen in some way. Many health clinics in Chile and around the world are becoming increasingly digitalized and this is helping a lot when it comes to the implementation of AI. However, those clinics which are yet to introduce AI in their practice would need to update policies and make sure that AI can manage new roles in their clinics efficiently. The staff also needs to be actively involved in the process of implementation of AI. A systematic approach to the implementation of AI also needs to be developed. Finally, complying with standards and quality of care is essential.

AI and the future of healthcare

To sum up, many clinics in Chile and around the world are increasingly moving towards new and innovative technologies such as AI that uses machine learning and NLP. As we can see from our example with Patricia, clinics are able to better monitor and handle no-shows, patient increases, scheduling, rescheduling, and many other administrative tasks. In addition to this, patients can experience a much more satisfying and relaxing healthcare journey. Furthermore, the outreach of clinics is increased and with this kind of AI, they are able to reach more patients even in remote areas.

As for the challenges, there are a few, as we have mentioned above. However, an AI system built 100% to manage healthcare interactions and a team of dedicated experts allows health clinics to implement AI in their work quickly and without issues. Although the implementation of AI comes with these few challenges, it is now safe to say that benefits are very evident from its usage in several different health clinics in Chile but also in a lot of clinics around the world as well.