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You are here: Home / *BLOG / Around the Web / Artificial Intelligence (AI) in Healthcare

Artificial Intelligence (AI) in Healthcare

February 11, 2021 By Editor

The AI healthcare market is more visible to the public than ever before. More and more people are becoming aware of the benefits of AI technology throughout the healthcare industry. To many, it’s solid proof that Artificial Intelligence has had a successful impact on the overall quality of our healthcare system.

It goes without saying that the implementation of this technology has brought about some huge changes in the healthcare industry. You’ve probably seen multiple broadcasts, detailing the success of AI in the treatment of chronic diseases, etc.

Early 2020 saw a significant increase in AI trends, with many entrepreneurs that were formerly skeptical, rushing to adopt this technology in hopes of growing and improving the overall quality of the healthcare industry. Many software engineering companies, including Glorium Technology, are extremely experienced with AI technology and offer perks to clients who choose to implement it over the conventional analytic and clinical methods.

If you are new to AI, you might be wondering how it could possibly be relevant to the healthcare industry. If this sounds like you, be sure to continue reading.

A computer interface with a mind of its own

For many people, communicating through a computer is a daily activity. However, the idea of interacting with the human mind without the need for a mouse or keyboard is something entirely different.

With the help of Glorium’s sophisticated AI tech, it is now possible to build a direct interface that connects health technology with the human mind.

A neurological problem can affect a patient’s means of communication. Take Stephen Hawking for example. The neurological disease Amyotrophic lateral sclerosis (ALS),  prevented him from speaking and moving. However, with the help from solid interfaces built by artificial intelligence, he could speak through a customized computer language program.

Thanks to this technology, disabled people can move their hands, feet, heads, and communicate with others. All that’s needed to communicate is a compatible medium, like a tablet, smartphone, or computer.

Improved radiology devices and machines

We often think of x-rays, CT scanners, and MRI tools when we consider some of the best inventions in healthcare. However, when it comes to modern radiology tools, the sky is the limit. Presently, there are many healthcare manufacturers working together to harness the full potential of AI technology. As we all know, health practitioners are still needed to retrieve tissue samples for testing.

In the future, we will no longer need to take tissue samples in order to make a diagnosis. AI will fortify our radiology tools in such a way that practitioners will be able to maximize results without harming or making their patients uncomfortable.

Diagnostic imaging methods and procedures will become much more straightforward thanks to the advancement of artificial intelligence.

Developing countries and remote regions will have the same level of health care access

If you have been working in the healthcare industry for the past few years, you’re probably aware of the obstacles and barriers often faced by healthcare providers in remote and developing areas.

Indeed, these areas have clinics, but they often experience shortages when it comes to the technology and healthcare software developments resources needed to save lives. A lot of errors and mistakes are occurring that we can’t afford to be making — lives depend on it.

Many experts have seen the potentials of artificial intelligence when it comes to helping them mitigate the risks of healthcare and service shortages in developing areas.

 Such high-tech AI Doctor doesn’t even need to be directly implemented into a physical facility in a far off country in order to save lives. It can be administered remotely, from distant headquarters. Of course, presently, the challenges of such development vary depending on the distance, logistics, resources, the availability of internet connections, funding, and so on.

AI can improve the health record system, making it more effective

Artificial intelligence has proven to be highly effective when it comes to overcoming problems relating to electronic health records (EHR).

Workers who presently use the conventional system often experience tiresome limitations which can lead to burnout. Long gone are the days when practitioners and institution staff members would manually document everything. So, the question remains: why bother then?

Don’t waste valuable time and effort. AI solutions from Glorium Tech help create more intuitive and user-friendly interfaces, allowing doctors and nurses to focus on the job they were trained to do — save lives.

With the help of reliable AI tools, processes that are often time-consuming can be full-automated, saving plenty of time and money, and therefore, lives. As a result,  health practitioners and workers will be able to pay more attention to their patients and not have to deal with endless paperwork.

Healthcare professionals spend an enormous amount of time dealing with admittance, documentation, and sorting. With the help of AI  technology, we will overcome this problem using natural language processing. AI-powered HR software for healthcare can enhance workforce management by automating scheduling, tracking credentials, and optimizing staff allocation, ensuring that hospitals and clinics run efficiently while reducing administrative strain on medical personnel.

Soon enough, we will have virtual assistants for each clinician capable of conducting multiple tasks, including documentation and entry.

Clinical Trial Patient Recruitment with AI

The integration of AI into the healthcare system is not just enhancing the capabilities of medical devices and record systems; it’s also revolutionizing clinical trial patient recruitment with AI. This technology uses sophisticated algorithms to sift through vast amounts of data in electronic health records (EHR) to identify potential trial participants who meet specific criteria.

This targeted approach ensures that the right patients are selected for the right trials, significantly accelerating the recruitment process and improving the quality of clinical research.

Moreover, AI-driven patient recruitment software reduces the risks associated with clinical trials by ensuring a higher match accuracy and maintaining a diverse pool of participants.

This not only speeds up the development of new treatments but also ensures they are tested across a representative demographic, enhancing the reliability of trial outcomes.

By leveraging AI, researchers can minimize delays and maximize efficiency, paving the way for quicker patient access to potentially life-saving treatments.

Improve the quality of medical devices and facilities

Intelligence technology is prevalent for devices and machines in the healthcare environment. In fact, we actually adopted this over a decade ago. Smart devices will replace thousands of manual tasks, creating a convenient environment for both patients and customers.

Smart devices have proven to be a saviour in many types of healthcare situations. For example, these devices allow nurses to monitor their patients from another room. They identify the status of a patient, setting off an alarm if the patient becomes unresponsive or experiences a change in circumstances. Although there is still plenty of room for development, since 2021, we have seen very promising moves in the right direction from all participants.

There are still plenty of additional use cases for AI tech throughout the healthcare industry. Be sure to follow Glorium Tech for all of the latest breaking news relating to AI in the healthcare industry.

Filed Under: Around the Web, EXPERTS, Tips Tagged With: AI, around, artificial, Experts, HEALTHCARE, Intelligence, the, Tips, web

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About Editor

Glenn is a geographer and a GIS professional with over 20 years experience in the industry. He's the co-founder of GISuser and several other technology web publications.

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