How to make correct decisions through artificial intelligence?

Photo: Dell

Because of its learning capabilities thanks to new technologies such as machine learning and natural language processing, AI has become the epitome of most modern businesses. Furthermore, AI is capable of training itself to store and go through an enormous amount of data. All of this is very useful for any health clinic. So, let's take a look at how you can make correct and better decisions through the use of artificial intelligence.

Artificial inteligence and decison making

AI is extremely important for the future of healthcare development. We have seen, over the course of the last couple of years, more and more usage of various digital tools and services supported by AI that have significantly helped health clinics. Digitalization can help health clinics combat issues such as long waiting times, scheduling problems, delivery of healthcare services, and so much more.

AI can harness and go through an enormous amount of data. So, how exactly does AI help with decision-making? Well, first of all, it can allow health clinics to make important decisions quickly by going through a ton of data in a relatively short time period. Furthermore, the use of AI that is powered by natural language processing can help health clinics better understand patient needs as well as improve communication with patients. Of course, it also makes establishing communication with the patients in the first place, a lot easier. In addition to this, AI tools like algorithms with machine learning can gather a ton of different information rapidly.

The types of decision-making made with AI

There are different degrees of decision-making with AI. Decisions made with the help of AI need to be:

• Automated. Decision automation relies on prescriptive or predictive analytics.

• Augmented. Makes use of predictive or prescriptive analytics to recommend multiple decision alternatives.

• Supported. With AI predictive, diagnostic, or descriptive analytics, humans can decide with accuracy.

How AI can impact decision-making in healthcare

We have mentioned already that AI can be trained and also train itself to process and store an enormous amount of data. Thanks to all of this data, AI can make and suggest very accurate and quick decisions that can benefit both patients and health clinics. The models work on data in real-time making predictions, categorizations, and recommendations. Alongside AI also came a ton of AI data-based models and simulations to look up to. It allows humans to make faster and more accurate decisions. In a nutshell, it automates the decision-making process with some involvement for the human team.

Today, companies and health clinics using AI are better equipped to combat unexpected scenarios such as the global pandemic. Furthermore, working with AI and using different digital tools and services have helped clinics not only improve the scheduling system but also significantly lower the number of no-shows. All of this is very crucial for the improvement of the overall healthcare system.

Is AI capable of completely replacing executive decision-making?

Providing unparalleled insights into the world of healthcare is possible once the AI has been implemented properly and data has been processed and collected thoroughly. Humans cannot keep up with the amount of data an AI system is capable of processing. They drown in the overflow of data. Also, humans aren’t capable of leveraging all the data. They manage large data amounts by summarizing them. Furthermore, humans allow biases to take control over them. AI can collate data without letting emotion cloud their judgments and make errors. Once AI learns something, it cannot make the same error it made during the trial runs for example.

However, in the delicate world of healthcare, it would not be smart to leave major decisions to the machines. A team of trained experts always needs to monitor and work on an AI system. This helps it improve and grow.

But, a decision-making team using the combined strengths of both AI and humans can make better, faster, and more accurate decisions in the world of healthcare.

The use of AI in healthcare

We have described in detail how AI can assist humans with decision-making. What about the impact on healthcare? Well, as mentioned above, we have already seen a lot of clinics using some form of AI. Machine learning and natural language processing or NLP for short helps clinics with a ton of different tasks but also allows patients to have a more enjoyable healthcare journey.

Your clinic can achieve more effective use of your medical offer by utilizing the power of AI technology. By automating the interaction between health providers and patients through AI such as Patricia created by our team at Eniax, both patients and health clinics can establish faster and easier communication. This kind of artificial intelligence engine is designed and trained to respond and act on various requests for information.

The future of AI and healthcare

As we can see, there are numerous different benefits of the usage of AI technologies in the world of healthcare. Overall, AI can help make decision-making quicker and more accurate by amassing and going over a ton of data that humans cannot do. Furthermore, AI is capable of solving many issues that plague the healthcare systems of today.

Many issues such as long waiting queues, missed appointments, scheduling problems, etc. can be solved with the use of innovative digital tools and services that are powered by AI technology which uses machine learning and NLP. In short, AI is here to stay and is making a huge impact on the healthcare system around the world.