How big data and AI will revolutionise healthcare and help prevent heart attacks

There is new research, data, and expert opinions which show that the potential of big data today now goes beyond the business sector. In a Forbes article, it was mentioned that big data could even prevent heart attacks.

In relation to this, the American Health Association conducted a Health and Tech and Innovation Forum to discuss how big data would offer transformative technologies to not only encourage the healthy lifestyle to communities but also help find ways to prevent illnesses and health risks. One of those risks that should be prevented is the heart attack, and in celebration of the World Health Day, many people and experts converged in the event to discuss how to go about it.

AHA analysis

A reliable study from the American Heart Association revealed that around 2,200 Americans die each day of cardiovascular disease, which makes it about one casualty for every 40 seconds.  The study even revealed that cardiovascular diseases claim a more significant number of lives than all the varieties of cancer combined.

The study even showed an alarming statistic that 92.1 million American adults today are now living with some type of cardiovascular disease or its after-effects that patients experience after stroke. It was even found out that the direct and indirect damage of cardiovascular disease and stroke to the economy would total to more than $316 billion. These costs come from the loss of work and associated healthcare costs that come with dealing with the condition.

How big data helps solve the situation

Because of the conditions and issues relating to finding the right solutions for heart attacks, many new technologies now offer preventive measures for your health. With the help of big data systems such as Apache Kafka, individuals are now able to use their smartphone to receive information about their cardiac activity. There are now even small adhesive band-aids or patches that can be attached to a person's upper body to gather feeds of data. This data will be transferred to a remote patient's monitor and will be analyzed by a physician for better prognosis.

What to expect

In the years to come, it's not hard to imagine that companies like Apple and Samsung will already be able to offer smartphones that are equipped with a selection of physiologic sensor apps that can help prevent cardiovascular ailments. These apps can either monitor blood pressure, heart rate, arrhythmia, and stroke.  The remote technologies in the future will also be able to tap the big data from these sensors and help bring about a significant change and improvement in the healthcare environment.

With these changes, more people can now tap the ways and tips on how to prevent the diseases from worsening.  However, the challenge in all of these big data changes will have to do with control. There's an ominous amount of seismic information from the cardiac data from these phones, and there's a lot of patent issues that come with them.

Artificial intelligence (AI) is another factor that should be put into the question. Will the AI be up to the tasks of understanding the machine applications to interpret huge amounts of big data? How secure is the privacy of these applications? What is its iatrogenics or simply the hidden risks that will only be seen later?

Population health analytics

Initiatives from companies like Optum, Hitachi, and IBM, are now working unceasingly in developing what is called "Population Health Analytics." This project will also help increase the accuracy of big data to predict stroke and heart ailments, so people can know if they're prone to a heart attack once they already have a cardiovascular disease.

The information you read above is only the beginning. There's still plenty to come regarding how big data can improve the lives of those who have cardiovascular ailments. With innovation in big data, it may not be a long time before people can fully predict or prevent heart attacks from happening.

 

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