June 25, 2024

The Benefits of Artificial Intelligence in Healthcare

3 min read

After what happened in 2020, it is not surprising that healthcare has become one of the fastest growing and largest industries. Thanks to a major worldwide pandemic, the healthcare industry has undergone a great deal of transformation and this has made digital adoption even more urgent in the space. Emerging technologies had been making their presence known a long time before 2020, but the pandemic proved to be the major push required. If you keep up with technology news, you would know that artificial intelligence has become all the rage in the healthcare industry.

AI technology is bringing significant change and improving a number of key processes. There is no denying that this technology has an amazing and diverse potential because of its versatilityand according to predictions, the AI-powered healthcare space could reach a value of $34 billion by 2025. How does artificial intelligence benefit healthcare? Let’s take a look:

Accurate diagnosis

A large number of cases, inefficient sequencing and incomplete medical records will always have room for human error. But, once these reports are entered into the computer, artificial intelligence algorithms can analyze the data for arriving at an accurate diagnosis, which can improve efficiency as well as eliminate mistakes.

Enhanced patient experience

Healthcare experience can become a rather chaotic one because of increasing volume of reports, crowded healthcare facilities and confusion regarding insurance. In such situations, artificial intelligence can be a life-saver because it can scan through the data rapidly, get reports ready and help patients figure out where to go and who to contact. Today, remote consulting is quickly becoming the norm and this is where artificial intelligence plays a significant role because it ensures communication and connection, along with accurate timing updates, availability of reports and appointment scheduling.

Robot-assisted surgery

Expertise, precision and extra care are required for critical and complex surgeries and the number of successful surgeries has increased, thanks to the use of AI-enabled robots. These robots use mechanical arms, cameras and surgical instruments. It is possible to develop custom made robots that are able to reach every space within the human body for providing a magnified and clear view of the surgical site. These surgeries can reduce pain, take less time and also ensure faster recovery.

Data security

It is of the utmost importance to keep all sensitive patient data safe and rapidly advancing artificial intelligence algorithms can come in handy in this regard. They encrypt clinical reports, personal information and diagnostic findings, which can keep them safe from cybersecurity attacks and they can also be stored in the cloud, so patients and doctors can access them from anywhere.

Remote monitoring

Connected devices are considered life-saving because they can ensure real-time monitoring of patients. Remote monitoring devices are being used for keeping track of asthma attacks and heart attacks and they use IoT networks for tracking activities in the human body. Mobile apps and wearable devices can be used for accessing the data and artificial intelligence can help in making quick decisions.

Smart health insurance

Connected devices can also be used by insurance companies for capturing health data of the patients, which can assist them in health claims and underwriting. It can help eliminate fraudulent claims and ensure transparency between companies and customers.

Streamlined training

Artificial intelligence also gives healthcare providers the chance to go through simulations that can cover different types of scenarios. This allows trainees to make decisions in various situations and also learn from previous situations in order to meet the training needs. It can go a long way in improving their skills and responses and lead to better healthcare services.

Risk prediction

Another benefit of artificial intelligence is using pattern recognition to calculate the chances of a patient developing a specific disease. This can be helpful in making timely decisions and be life-saving in the long run by preventing a number of problems from occurring in the first place.

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