Improving Cybersecurity for Healthcare Providers with AI and Big...
healthcaretechoutlook

Improving Cybersecurity for Healthcare Providers with AI and Big Data Analytics

By Healthcare Tech Outlook | Friday, February 15, 2019

Healthcare CybersecurityAccording to a new report by Infosys, cybersecurity, big data, and Artificial Intelligence are among the world's best technologies for medical and biotechnology companies. The report, Digital Outlook: Healthcare Industry, also shows that the three most widely used digital technologies by health companies are cybersecurity (77 percent), AI (59 percent), and big data analytics (72 percent). In the survey, companies from seven countries participated. It is historical nature that the value of the data directly affects the capacity to treat patients safely and securely and takes longer to rebuild, and does not just contain clinical information, such as personal, financial, and demographic data that allows it to be used for broader identity theft.

Globally, the health sector thrives at a rapid pace, which is a good indication. Patient health management and disease prevention, management, and treatment research are also continually increasing.

Check out Healthcare Tech Outlook’s Top 10 Healthcare Cybersecurity Solution Providers 

Hackers are increasingly focused on healthcare, making cyber security the most critical concern for every sector organization. Big data and AI can be of assistance. AI and big data are key tools for cybersecurity and patient information safety in conjunction with increasing administrative tasks and patient health outcomes. The AI could more effectively eradicate the threats after a security infringement, compared to conventional patterns. AI can monitor network behavior continuously and automatically in order to identify abnormalities in the network. Once the threat is detected, a problem is passed on for human insight or independent action to minimize the effect of an infringement. Traffic can be defensibly segmented to separate sensitive data automatically on the basis of some security protocols, for example, through AI-driven automation.

AI and machine learning provide healthcare organizations, while not relying on scarce, cost-intensive skills, with a way to secure data of patients; only when the foundations of information governance, awareness and education are first in place will they deliver their promise. No one can be excited about the innovations, but the following risk is also difficult to anticipate.

AI and ML provide healthcare organizations with a way to secure the data for their patients as healthcare progresses and does not depend on low-cost skills, but only fulfills its promise if the foundations of information governance, awareness, and education have been established first. The innovations cannot be excited, but it is also difficult to anticipate the following risk factors. Healthcare organizations must, therefore, be alert and deliver healthcare safely and securely.

Healthcare Cybersecurity Companies - AM LLCFireEyeProject Hosts,...‚Äč

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