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How Heart Attacks Can Be Prevented By Big Data Analysis

Big Data is for more than business

7Nov

Studies done by the American Heart Association show that over 2,000 citizens die each day from cardiovascular disease. What's more alarming is the fact that approximately 85.6 million adults live with some kind of cardiovascular disease or after-effects of a stroke. How comes these statistics are so disturbing?

One factor that has been contributing to such high and alarming statistics is the lack of means and ways to monitor the rhythms of hearts for the cardiovascular disease patients until the time such patients are admitted to hospitals after an emergency. Unluckily, there are situations whereby a patient dies of a heart attack or acute stroke.

Electrocardiographs can be used to capture cardiac activity. They offer a graphic record that indicates the electrical potential of the heart. Such records can be used by doctors to diagnose and help to treat cardiac arrhythmias and heart disease. But, this isn't the best way for a person to know if they had or didn't have a heart attack, and the results are often never accurate.

Relying on smartphone applications to prevent cardiovascular diseases

Technology advancements today have made everything much simpler. By fixing some small adhesive patches on a patient's torso, doctors can know how a person is doing via big data fed into the remote patient monitor. The cardiac activity is reviewed and interpreted with mobile smartphone networks as well as cloud storage in real time. Doctors have a way to transmit the cardiac wave activity via Wi-Fi to a digital data hub, like Kafka Tutorial, and treatment facility where the data is interpreted. When the results are transmitted, caregivers are notified and they intercede to hinder adverse cardiac events.

Patients who experience heart attack symptoms also have the option of activating their remote patient monitoring app to capture cardiac rhythm information connected with chest pain. This alerts the doctor immediately. Remote cardiac monitoring capability has been saving lives. It also lowers the cost of treatment for those with cardiovascular disease.

Remote Cardiac Monitoring

The development of a single lead ECG sensor is forcing the traditional patient monitoring industry to adapt to the new technology advancements to meet customer demands. Investors are also being forced to come up with ways of giving remote cardiac monitoring services. New companies have emerged to saturate the patient monitoring industry market that was originally dominated by companies like Philips for decades. Companies like Preventice and iRhythm have already captured the market share and are going a step further to provide the clarification of remote cardiac monitoring information through their IDTF (individual diagnostic treatment facility).

Future expectations from healthcare players

It's expected that smartphone companies like Samsung and Apple will start introducing various physiological sensor app capabilities that can monitor heart rate, stroke volume, blood pressure, and cardiac arrhythmia in the near future. These digital remote cardiac monitoring abilities will act as catalysts and make it possible for the whole healthcare ecosystem to embrace digitalization faster than before.

The enormous challenge now is to monitor how the healthcare continuum securely stores and analyses a large amount of data that is already being generated through digital patient monitoring. Will artificial intelligence apps and advances in machine learning solve this mystery independently and start detecting and looking after patients thus eradicating the need for human oversight and interpretation?

Organizations such as Optum, Hitachi, and IBM have been working untiringly to harness 'population health analytics' with the aim of increasing the predictive power of heart attacks and stroke. They intend to reduce the mortality and illness statistics for cardiovascular disease. This is the main reason remote cardiac monitoring holds a lot of potential in saving more lives and lowering health care expenses.

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