How Cybersecurity Transforms AI and Big Data Analytics in Healthcare

by December 18, 2018 0 comments


Healthcare Industry has been one of the significant grantees of modern technologies embracing Artificial Intelligence (AI) and Big Data in the sector. The ever-growing efficiency of these technologies has a lot to offer in the field specializing in concerning health results, reduced costs and improved convenience.

We can clearly witness the optimistic flourishing of healthcare sector at prompt velocity including managing patient health, curing diseases and others. Realizing the need of the hour, the healthcare industry is accepting tech innovations at a rapid pace to meet the rising demands. Since everything has its own pros and cons, similarly cybersecurity has become a haunting concern in critical healthcare sector regarding patient health.

Let’s have a brief look at the rhythm of Cybersecurity, AI and Big Data’s role in it.


Technology Magnifying Healthcare Follow-ups

Malignant players are becoming agile when it comes to targeting medical management, which makes cybersecurity a big issue. As per survey data reports, 90% of hospitals have experienced a cyber-attack in the time span of the last five years. Although, with the growth of AI and Big Data, safeguarding the patient data has become comparatively painless.


Malicious Software Diagnosis

When it comes to malware detection, machine learning applications play a critical role. As most of these applications are architected to indicate risk using historical data and malware pattern, they can briskly detect alarming threats against the healthcare sector.


Retaliation of Security Violation

Artificial intelligence has better efficiency to eliminate the risks after a security breach when compared to conventional models. AI can potentially identify oddities in the nexus. Subsequently, the issue is then forwarded to human insight for further operations. Additionally, traffic signals can be categorized to separate sensitive data on individual security protocol using AI-powered automation.


Uproot the Risk Factor

Smart gadgets are more vulnerable to being hacked but AI is helpful in this area too. Data encryption, particularly for malware detection, can be implemented using AI which can set medical management teams free from depending over makers to ensure if security is upgraded.

Having excitement regarding innovations in quite natural but the anticipation of risk factor coming along with it should be kept in mind. However, these circumstances make it important for healthcare administrators, physicians and patients to be cautious and candid to retain secure progress in the near future.

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