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BusinessHealth and Fitness

Artificial Intelligence: Your Potential Partner in Healthcare’s Future

Have you realized anytime how Artificial Intelligence is your potential partner in healthcare’s future? If not, no worries. Let’s cover it in this blog. Let’s cover how artificial intelligence works in healthcare.

For decades, artificial intelligence has played a key role in various businesses. For example, artificial intelligence (AI) has recently begun to play a significant role in healthcare.

Since its release, several major companies, including Apple, Amazon, and Google, have begun to integrate artificial intelligence into their products, such as Siri, Alexa, and Google Assistant.

What is Artificial Intelligence?

Artificial intelligence in healthcare refers to the employment of complicated algorithms that automate the completion of specific tasks. 

When researchers, doctors, and scientists enter data into computers, the newly developed algorithms can review, understand, and even provide remedies to difficult medical problems.

Artificial intelligence may use in a variety of ways in healthcare. However, it is not the same as what has been proved and spoken. 

Artificial intelligence is still in its early phases, far from being as advanced as it appears, and when used properly, it has no negative impact.

Examples of Artificial Intelligence in Business:

Intelligent assistants:

Siri, Alexa, and Google are examples of intelligent assistants we frequently use in our daily lives. For example, manage your calendar, call people, do a rain check, order things, set reminders, etc.

Face recognition: 

Whether it’s a smartphone or your front door, face recognition is present, and it’s AI. Building security using AI will be the way of the future for increased security.

Dominos is an example of AI at the next level; they are testing the use of robots to deliver pizza within a certain distance.

How is AI used in healthcare?

There are various capacities where AI is emerging as a game-changer for the healthcare industry. Below are a few examples:

  • Radiology:

Artificial intelligence (AI) solutions are being developed to automate picture processing and diagnosis in radiology. For example, it can help a radiologist identify areas of interest on a scan, speeding up the process and decreasing human error. 

Fully automated systems for reading and interpreting scans without human participation may also be conceivable. It allows quick interpretation in underserved areas or after hours. 

Recent demonstrations of enhanced tumor identification on MRIs and CTs demonstrate progress toward novel cancer prevention prospects. 

Meanwhile, the FDA has already authorized an AI-powered platform for processing and interpreting Cardiac MRI images in the United States.

Read also: How Artificial Intelligence Will Transform Business

  • Drug discovery:

Artificial intelligence (AI) technologies are being created to uncover new possible remedies from enormous information databases on existing drugs. It might be altered to combat significant dangers like the Ebola virus. 

It might boost drug development efficiency and success rates, speeding upbringing new treatments to market in response to fatal disease threats. Let intely handle the complexities of workflows, data integration & healthcare interoperability.

  • Patient risk identification:

By analyzing large volumes of historical patient data, AI technologies can assist physicians in identifying at-risk patients in real-time. 

Re-admission risks are a current focus, with patients who have a higher likelihood of returning to the hospital within 30 days following release being highlighted. 

Several firms and health systems work on solutions based on patient electronic health record data. It was partly prompted by payers’ reluctance to cover re-admission costs. 

Other research has shown that a still picture of a patient’s retina can use to predict the risk of cardiovascular disease.

  • Primary care/triage:

Several organizations are developing direct-to-patient solutions to triage and provide guidance via phone or chat. It allows for rapid and scalable answers to basic queries and medical concerns. 

It might help people avoid unnecessary visits to the doctor, lessening the strain on primary care practitioners. In addition, it offers basic advice that would otherwise be unavailable to people living in distant or underserved locations for a subset of ailments. 

While the principle is evident, independent validation is still required to demonstrate patient safety and efficacy.

Benefits of Artificial Intelligence:

  • Improving tailored shopping experiences: 

Personalized marketing boosts customer engagement, which leads to increased loyalty and sales. That is why businesses invest so much time and money in it. Intely provides the workflow automation for healthcare interoperability.

One of the benefits of AI is that it can recognize patterns in customers’ browsing and purchase habits. As a result, AI can make very accurate offers to specific clients based on the millions of transactions kept and evaluated in the cloud.

  • Automating customer interactions: 

Most customer interactions require human intervention, such as emails, online chat, social media talks, and phone calls. But on the other hand, it allows businesses to automate these exchanges.

Designing computers to respond appropriately to customers and deal with their inquiries is feasible by analyzing data collected from past contacts. Furthermore, the more AI systems interact, the better they get when AI and machine learning are combined.

AI Chatbots is one example of it. Unlike humans, AI Chatbots can simultaneously communicate with an endless number of clients and answer and initiate contact on a website or in an app.

  • Data mining:

One of the most significant benefits of cloud-based AI is that it allows artificial intelligence programs to identify essential swiftly. Its relevant insights while processing large amounts of data.

It can yield previously unknown insights that help organizations gain a competitive advantage.

  • Improved quality and fewer human errors:

When AI technologies are integrated into processes, organizations can expect a reduction in errors and a stronger adherence to established standards. 

When AI and machine learning are combined with RPA, a technology that automates repetitive, rule-based operations, it creates a powerful combination. This combination speeds up procedures and reduces mistakes, but it can also be trained to improve and take on new responsibilities.

  • Improved business speed: 

As fast as business moves in the digital era, AI will let it move even faster. AI allows for speedier development cycles and a shorter time between design and commercialization. As a result, it leads to a better and faster return on investment in development resources.

  • Predicting outcomes:

It is another advantage of AI. Based data analysis can predict outcomes. For example, it can recognize patterns in client data that suggest whether or not the items currently on offer are likely to sell and in what quantities.

It will also forecast when demand will decrease. Therefore, it can be quite helpful in assisting a corporation in purchasing the right stock in the right quantities. 

The days of seasonal sales are expected to be finished in ten years, as AI will mean there will be too little leftover product to sell.

  • Improve the recruitment process: 

While this is bad news for recruiting agencies, AI is now helping businesses automate hiring new employees. In addition, it can sort through applications fast, rejecting those that don’t meet the company’s needs.

It saves time (or money spent on a recruitment firm) and assures that the shortlisting process is free of discrimination or bias. Furthermore, AI algorithms can handle a wide range of administrative recruitment responsibilities. intelyConnect offers a no-code and low-code approach to healthcare data integration and interoperability.

  • Real-time assistance: 

AI is particularly beneficial to firms that must communicate with many clients daily. For example, bus, train, and airline firms with millions of passengers each day in the transportation business. 

It can use AI to engage in real-time and offer individualized travel information, such as tardiness notices. For example, some firms are already tracking their vehicles’ locations. 

They use AI to provide passengers with real-time updates on where the bus is on its route and when it is expected to arrive. This information is available to customers via the bus company’s app.

  • Enhancing cybersecurity:

Cybersecurity isn’t going away anytime soon. Unfortunately, human blunders are inescapable since we are humans. However, cybersecurity may be able to get a lot of useful data from your app or website due to a single coding error.

However, AIs are machines, and their error rate is manageable. It reduces the likelihood of cybercrime and enhances cyber security. The majority of clients are concerned about the security of their personal information.

Nowadays, your customer’s trust is built on the strength of your cyber security. Consequently, including artificial intelligence (AI) into your security system will boost cyber security and trust.

The future of AI in healthcare: 

Over the next several years, the biggest potential for Artificial Intelligence in healthcare will be hybrid models. Professionals are assisted in diagnosis, treatment planning, and risk factor identification while maintaining ultimate responsibility for the patient’s care.

Healthcare providers will be more likely to employ the technology by reducing perceived risk, and measurable benefits in patient outcomes and operational efficiency will begin to be delivered at scale.

We believe that AI will play a significant role in future healthcare products. For example, it is the key capacity underpinning the creation of precision medicine, which is universally acknowledged as a much-needed advancement in treatment. 

Although early attempts at diagnosis and therapy suggestions have been difficult, we believe AI will eventually master that domain. 

In addition, given the significant advancements in AI for imaging analysis, most radiology and pathology pictures are expected to be reviewed by a computer. 

Speech and text recognition are already being used for activities like patient communication and clinical note recording, and this trend will continue.

Conclusion:

Despite the significant media attention, AI-powered solutions have only made little effort toward tackling important concerns. As a result, they have yet to make a meaningful overall influence on the global healthcare business.

Visit intelyConnect for all the help and services you’ll need to leverage our sophisticated healthcare AI solutions to improve your healthcare services. In addition, we’ll show you how to integrate AI and other relevant services into your practice effectively. Visit intely.io & schedule a demo today.

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davinci

Davinci is a research-based contributor for intely, providing content specifically in the Healthcare IT and Digital Health space.

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