Radiology AI Into Clinical Practice

Practical Tips To Get Radiology AI Into Clinical Practice

Artificial Intelligence (AI) is the latest trend in almost every industry across the world and radiology or healthcare are no exception. In the current world, more and more clinics are integrating AI technology into their practice as this offers amazing opportunities to improve the radiology workflow; but at the same time, it can also pose some challenges. This is why it makes sense that you have a plan before you start working with AI or radiology reporting software in clinical practice without any trouble.

Here are some tips to help with the smooth implementation of AI solutions in your healthcare department.

Non-imaging clinicians

When you are changing the process in your imaging facility, it becomes mandatory that you also do some changes in the team members included in the process. For example, if you are implementing an AI radiology software for measuring brain atrophy, it becomes important to include neurologists for better understanding and also make sure to keep the neurologist informed about the implementation.

Have your patients informed

It’s a fact that you would involve the management, team members as well as stakeholders in the process and decision of implementing an AI based radiology information system, but it also becomes very important to have your patients informed too. When you complete the process of implementing the AI solution, it is definitely going to affect your patients.

So, it makes sense that you share everything about the process with your patients and inform them that you are improving the radiology department and how these will benefit them. Researches claim that AI technology can help enhance your diagnostic process and help increase patient volumes. Informing your patients about the new process can be done by publishing a press release about the new AI software or AI radiology reporting software along with its benefits for patients as well as team members.

Delegate the radiology AI implementation

As a radiology center or hospital, you must have physicians, assistants, radiologists, and nurses in the team. Some of them might want to try their hands on new things to grow their career. So, why not give them a great opportunity by simply letting them step into the world of AI to offer them a situation that is sure to help them grow? It is a fact that radiology is a specialized field and it takes time to learn new things. So, it is suggested to have someone in the team who is willing to learn new things like an AI radiology information system. The deal works for everyone.

Have a vendor who values relationships

When you plan to start with something new in life, you will notice that such things take time. Similar is the case with AI implementation in the radiology or healthcare field. There can be various types of hurdles like technical issues. So, it is very important that you choose a service provider who is willing to invest in the relationship and can help you make the transition smoothly. Check if the service provider has a dedicated team to help deal with technical issues or other types of problems that your team may come across while working with the system. The communication methods should be effective, for example, you cannot just rely only on email to connect with someone for support.

Do your research and compare products

When you start the search for the best AI-based radiology reporting software to enhance the process of your radiology facility, you are likely to come across various types of products available on the market. Of course, you would compare the features, pricing, and everything else about the software, but it is also suggested to connect with each vendor personally and check what their planned updates look like. It is very important that the software remains updated to match the current market so pick the deal as per specific factors.

Radiology AI software results versus current clinical practice

A common challenge that many radiologists face with the implementation of AI systems to their practice is that the results of the algorithm, cannot be compared in a straightforward manner in some cases with a visual assessment. For example, we can say that algorithms are designed to detect even the smallest changes, which may not be visible to human eyes, which helps bring a whole new perspective into your reporting room.

Share feedback on radiology AI solutions

AI is the future of almost every industry and radiology and healthcare are no exceptions. When it comes to specifically radiology, early adopters will surely shape the future. We can say that the professionals who start working with AI technology today can proactively provide feedback and can help the decisions that are made today on how AI in radiology works. Remember the human brain is the smartest machine on the earth and hence it should be used to improve the working of AI in radiology. This is why feedback from the end-user is always highly appreciated to improve the functioning of the system.

Final words

Artificial Intelligence is just like the introduction of how autopilot technology to commercial flights. The goal of this technology is to not just help improve healthcare services but save time and money as well. Opting for an AI-based radiology reporting software ensures that your team does not have to deal with those endless paper-based reports as the images are saved in digital form on a cloud platform. It is very important to remember that every implementation process is different so you need to take proper steps to ensure a seamless experience without any hassle. Proper training along with a good understanding of the system or software is also very important to let the team members get comfortable with the system.

Make sure to deal only with a trusted platform or vendor that can ensure updated and latest systems along with regular updates and training to the team members for an easier transition to AI technology.

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