Are Cybersecurity Threats The Main Hurdle For Big Data In Healthcare?

There's a widespread desire to speed up the implementation of big data in healthcare, but a lack of quality cybersecurity could be standing in the way

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December 18, 2018
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Big data is growing at an exponentially high pace, and is spreading its wings in almost every industry. Organizations have started investing a lot of money in this new age technology because it seems to have a very strong future. Now, big data analytics have even entered the healthcare landscape, and big data in healthcare has a bright and ever-expanding future on the horizon.

In the field of healthcare, this vibrant technology makes use of advanced algorithms to anticipate an individual’s future healthcare requirements. All this is centered majorly on their habits as well as the history of the visits in the hospitals, clinics, and doctors.

This new-age technology does seem to be quite powerful. However, there are many risks associated with big data as well. The number of benefits that people can reap from investing in big data technology are huge, but at the same time, there are some limitations. The, the healthcare industry has to be prepared for these challenges. One of the major threats to the introduction of big data in healthcare is a lack of powerful cybersecurity setups, and the persistent fear of cyberattacks.

How serious is the cyber threat to big data in healthcare?

The fear of cyberattack is huge in the field of big data. Especially because, as the name suggests, big data is nothing but the huge collaboration of a high volume of data. The data consists of important and personal information of many care seekers. Of course, this data is confidential. And no healthcare institution wants to lose patients’ important data. Therefore, cybersecurity becomes a vital part of any healthcare data system.

If the healthcare industry has to make good use of big data, they have to build systems which are apt to tackle cybersecurity threats. Otherwise, the benefits of using big data for healthcare will take no time to turn into the drawbacks of using big data technology. Along with big data, other technologies like artificial intelligence are also becoming very useful. The integration seems to be very promising for the healthcare world. But, again, data privacy and security remain the biggest concerns for healthcare professionals.

Why and How to maintain the security and privacy of Big Data in healthcare?

Various healthcare institutions that use big data need to find ways to safeguard patients’ information. They need to adopt cutting-edge technology in order to make sure that big data is saved properly, and is also analyzed without impeding the organization.

One of the other major ways of keeping health data secure is by carefully analyzing the data that is being transmitted from a variety of sensors who are gathering it. It is quite evident from the present integration and success of big data and AI that in near future, analytics will monitor health as it has done never before. At the same time, there are also a plenty of problems which are required to be addressed, which include things like data privacy and security.

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Final Thoughts

Most of the healthcare institutes as well as organizations are making use of big data to improve the quality of their service. Care providers are using it to enhance the quality of care that they offer to the care seekers. In some cases, the high volume of data which is being generated by the mass adoption of the internet is used to offer better services and products. With the help of information like health records and health habits, the healthcare providers have the chance to offer even better care. Despite the security threats we must learn to successfully tackle, there are all kinds of big data benefits to look forward to in the future.